diff --git a/CHANGELOG.md b/CHANGELOG.md
index b741c511..5acc2e98 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -38,8 +38,10 @@
 - **The resident `codeburn serve` child.** The first real panel request is also the cache warm-up, so startup never runs an artificial warm-up query beside a duplicate one-shot child; each served command carries its own read-only option allowlist, and anything outside it falls back to a normal spawn; the child exits when its stdin closes, so it can never outlive the app. Requests whose response exceeds the 16 MiB frame limit still replace the child, but that deliberate kill no longer spends the resident's unexpected-death budget. (#972)
 
 ### Fixed
+- **`gpt-5.6-codex` and `gpt-5.6-codex-max` now have their own pricing rows.** Neither id is in LiteLLM yet, and both were missing from the bundled snapshot — flagged during #1075 verification on a real corpus (285 sessions, 5,446 calls). `getModelCosts` already resolved both through the `gpt-5.6` prefix fallback, so live pricing was already correct once a session priced fresh; every prior Codex-suffixed id LiteLLM does carry bills identically to its bare-model sibling of the same generation (`gpt-5-codex` == `gpt-5`, `gpt-5.1-codex` == `gpt-5.1-codex-max` == `gpt-5.1`, `gpt-5.2-codex` == `gpt-5.2`, `gpt-5.3-codex` == `gpt-5.3`), which is the evidence both new rows mirror rather than inventing a rate. The gap that does not self-heal is the daily cache: it has no per-provider invalidation, so a day finalized while either id had no billable rate keeps that $0 forever. Raising `MIN_SUPPORTED_VERSION` (v23 -> v24) forces the one-time re-derivation, a lossless no-op for days already correct. (#1077)
 - **Mixed-version installs no longer thrash the Codex / Cursor / Antigravity result caches.** Daily and session caches already own a version-suffixed file so an old desktop binary and a newer CLI cannot clobber each other. The three per-provider result caches still used one unsuffixed filename with an internal version field, so a v10 and a v11 binary rewrote the same `codex-results.json` (and the Cursor / Antigravity siblings) on every run and each re-parsed its whole corpus. They now write `*-results.v<n>.json` the same way the daily cache does. The unsuffixed file is left for older binaries; a matching-version copy is adopted once and never overwritten. (#1082)
 - **Codex spend no longer counts reasoning tokens twice, and cache writes are priced only where OpenAI actually charges for them.** OpenAI bills reasoning tokens as *part of* `output_tokens`, not on top of it — on a 1,396-rollout corpus all 134,316 events carrying a total satisfy `input + output == total` — but CodeBurn added `reasoning_output_tokens` to output when pricing a Codex call and again in the models, audit and per-model displays. Every Codex number was therefore too high: on that corpus **cost by $166.03 (3.5%)** and **displayed Output tokens by 34.6%** ($4,713.12 -> $4,547.09; 22.6M -> 16.8M output tokens). The raw `reasoningTokens` figure is unchanged and still reported on its own; only the double-count is gone. Both places that price a Codex call — the parser and the cache-rehydration re-price — now go through one shared `billableOutputTokens` helper, so a cold run and a warm run can never disagree. Separately, Codex's `cache_write_input_tokens` (new in codex PR #33454) was never read and cache-creation tokens were hardcoded to 0; they are now carved out of the uncached-input bucket and clamped so they can never exceed it. That carve-out happens **only on models whose pricing source publishes a real cache-write rate** — gpt-5.6 and its terra/sol/luna variants charge 1.25x input for a cache write, everything before it charges nothing extra — because CodeBurn fabricates a 1.25x rate when a source omits one, and charging that would have invented a surcharge on gpt-5.5, gpt-5.4, gpt-5.3-codex and gpt-5. On models without an explicit rate the tokens stay in the plain input bucket and the price is unchanged to the cent. The field is new enough that today's impact is $0 on that corpus. Codex sessions re-parse once and the daily cache re-derives once off the warm session cache (a global re-derivation of every day and every provider, since it has no per-provider invalidation); no other provider's numbers move. Days whose Codex transcripts have since aged out are held by the same never-lose guard #1040 relies on: a re-derivation that finds fewer calls than the settled baseline keeps the older, pre-fix (double-counted) total rather than truncating it, so those days do not pick up the repricing until their sources are re-derived with equal or greater evidence. Long-context pricing tiers from the same report are tracked separately in #1076 and the missing `gpt-5.6-codex` snapshot rows in #1077. Thanks @chr-evensen. (#1075)
+- **Codex Tok/s no longer counts reasoning tokens twice or credits harness startup as model time.** Two distortions in the same metric, found and fixed together because they share the same cache-invalidation and test surface. (1) #1075 fixed the reasoning-token double-count for cost, but `activeGeneratedTokens`/`taskGeneratedTokens` in the Codex parser and `generatedTokens` in the `codex-tps` live-throughput reader still summed `outputTokens + reasoningTokens`; both now go through the same `billableOutputTokens('codex', …)` helper #1075 introduced, so the numerator can never drift from the billed one. (2) Codex fires `task_started` before it assembles the request, so the gap up to the first request-context event (`turn_context`, `world_state`, `event_msg/user_message`, or a `response_item/message`) was pure CLI/harness startup counted as active model time — the active window now starts at that first event instead, which matters most for one-shot `codex exec` sessions that pay the gap on every task. The duplicated tool-interval clip/merge/cap logic in `providers/codex.ts` and `codex-throughput.ts` is now one function (`mergeToolIntervals`, exported from `codex-throughput.ts`), which also closes a live trap where `task_complete`'s duration only parsed a plain number and silently dropped the `{secs,nanos}`/string forms `mcp_tool_call_end` already tolerated. (A third suspected distortion — fork-replay dedup dropping a token_count event's tokens from the numerator without shrinking the window to match — was investigated and retracted: the earlier `prevCumulativeTotal` guard already discards a repeated running total before dedup is ever reached, so a real Codex writer never produces a partial drop; the dedup site now carries a comment recording this so the trip isn't repeated.) Display only, no cost or token-count impact — verified byte-identical on the same real corpus. Combined effect on a real Codex corpus (original bug -> all fixes): GPT-5.5 37.8 -> 28.2 tok/s (-25.5%), Codex Auto Review 23.3 -> 20.0 (-14.2%), GPT-5.6 Sol 43.2 -> 33.9 (-21.4%), GPT-5.6 Luna 53.5 -> 49.0 (-8.5%), GPT-5.4 68.0 -> 43.6 (-35.9%), GPT-5.4 Mini 54.9 -> 55.6 (**+1.1%**, the harness-startup correction outweighing the reasoning-count correction for this model on this corpus). `activeGeneratedTokens`/`activeDurationMs`/`toolWaitMs` are stored verbatim in both the Codex result cache and the session cache rather than re-derived on read, so none of this self-heals: Codex sessions re-parse once (one cache-version bump covers both fixes, since they touch the same fields). The dashboard's per-model column stays labelled `Tok/s` — a wider label had zero room at the standard three-column layout, verified by breaking a real width-budget test — but the legend beneath it now reads "Effective Tok/s: generated tokens ÷ time the agent spent waiting on the model, tool execution excluded. Includes prefill, request assembly and reasoning. Not comparable to vendor decode-speed figures." (#1079, #1088)
 - **Codex calls attributed from session metadata no longer carry a stale model.** The Buffer fast path scanned `session_meta` for the first `"model"` string anywhere in the payload, so a nested `base_instructions.provenance.model` was read as if it were `payload.model` — and since the model is last-writer-wins state, that wrong value was credited to every call before the rollout's first `turn_context` and to every call after any mid-file `session_meta` (29 of 1380 rollouts on one real corpus carry a late `session_meta`, and 57 record usage before any `turn_context`). Direct payload fields are now read depth-aware, which is what the non-fast `JSON.parse` path always did. Codex sessions re-parse once (~9s on a 4 GB rollout corpus) and the daily cache re-derives once off the warm session cache, a global re-derivation of every day and every provider since it has no per-provider invalidation; it moves per-model attribution, and clears any rollup an earlier parse change had left stale. Days whose transcripts have partly aged out are held by the never-lose guard: on a real 110-day cache no day lost value and none disappeared — 100 days came back identical and 9 grok days rose by $19.80 in total. Thanks @timdp. (#1040)
 - **Codex `session_meta` cwd / session id / originator follow the same depth-1 window as `model`.** #1040 fixed nested `provenance.model`; the compact Buffer path still took the first `cwd`, `session_id`, `originator`, `name`, `forked_from_id` or `model_provider` anywhere in the payload, so a `dynamic_tools[].name` (or any same-named nested key) could steal the top-level field. Those strings now use the existing payload-depth-1 scan. Function-call `name` on other event types is unchanged. Codex sessions re-parse once. (#1045)
 - **Plan rows for sticker-price presets read as a budget instead of live provider quota.** There is no Grok quota endpoint, so a SuperGrok row was parsed API-equivalent spend divided by the plan's sticker price on a monthly reset — but the TUI labelled that math "plan" and "reset", which next to a client showing xAI's real weekly window read as CodeBurn being wrong. The bars and the arithmetic are unchanged; the words are not. Both the dashboard and the desktop app now say the number is an API-equivalent monthly budget and not a live provider window, in the same wording on both surfaces, and for every preset rather than as a SuperGrok special case. The window is anniversary-based (`plan.resetDay`, settable with `codeburn plan set --reset-day`), so it is called a budget reset rather than a calendar one. The row was also shortened to fit 80 columns: at that width the percentage and the projected month were being truncated away, including on custom plans, whose label carries the provider.
diff --git a/scripts/bundle-litellm.mjs b/scripts/bundle-litellm.mjs
index 6d5f4955..eb53ac9a 100644
--- a/scripts/bundle-litellm.mjs
+++ b/scripts/bundle-litellm.mjs
@@ -44,6 +44,16 @@ const MANUAL_ENTRIES = {
   'deepseek-v4-pro':        [4.35e-7, 8.7e-7, 0, 3.625e-9],
   // Mythos 5 launch pricing; not yet in LiteLLM or the models.dev/OpenRouter gap-fill (Fable is).
   'claude-mythos-5':        [10e-6, 50e-6, 12.5e-6, 1e-6],
+  // gpt-5.6-codex / gpt-5.6-codex-max (#1077): not yet in LiteLLM. Every prior
+  // Codex-suffixed id LiteLLM DOES carry bills identically to its bare-model
+  // sibling of the same generation - gpt-5-codex == gpt-5, gpt-5.1-codex ==
+  // gpt-5.1-codex-max == gpt-5.1, gpt-5.2-codex == gpt-5.2, gpt-5.3-codex ==
+  // gpt-5.3 (all four input/output/cache-write/cache-read rates identical,
+  // verified against the live model_prices_and_context_window.json). Mirroring
+  // that pattern onto gpt-5.6 rather than inventing a number: both ids get the
+  // exact gpt-5.6 tuple (Sol-tier: $5/$30 per million, 1.25x cache-write).
+  'gpt-5.6-codex':          [5e-6, 3e-5, 6.25e-6, 5e-7],
+  'gpt-5.6-codex-max':      [5e-6, 3e-5, 6.25e-6, 5e-7],
 }
 
 const snapshot = {}
diff --git a/scripts/upgrade-path/run.mjs b/scripts/upgrade-path/run.mjs
index 16b669a1..d8c9d3ae 100644
--- a/scripts/upgrade-path/run.mjs
+++ b/scripts/upgrade-path/run.mjs
@@ -33,7 +33,7 @@ const WORK = process.env['UPGRADE_PATH_WORK'] || join(tmpdir(), 'codeburn upgrad
 const OLD_SESSION_CACHE = 'session-cache.v7.json'
 const OLD_DAILY_CACHE = 'daily-cache.v17.json'
 const NEW_SESSION_CACHE_DIR = 'session-cache.v9'
-const NEW_DAILY_CACHE = 'daily-cache.v24.json'
+const NEW_DAILY_CACHE = 'daily-cache.v25.json'
 
 const HOME = join(WORK, 'user home')
 const PAYLOADS = join(WORK, 'payloads')
diff --git a/src/codex-cache.ts b/src/codex-cache.ts
index f2418897..48bc3e13 100644
--- a/src/codex-cache.ts
+++ b/src/codex-cache.ts
@@ -27,10 +27,17 @@ import type { ParsedProviderCall } from './providers/types.js'
 // output, and cache_write_input_tokens is carved out of the input bucket. This
 // file stores each call's costUSD and token buckets verbatim, so entries
 // written by v10 carry the old (overstated) cost and must be re-derived.
-// v12: builtin alias prices `codex-auto-review` (#1047). Exact-hit cache
+// v13: codex throughput fix (#1079) - activeGeneratedTokens was summing
+// output + reasoning, the same double-count Fix A removed from cost. This
+// file stores activeGeneratedTokens/activeDurationMs/toolWaitMs verbatim (not
+// re-derived on read), so v11 entries carry the overstated numerator and must
+// re-parse. Not 12: v12 is claimed by feat/core-extraction's own port of this
+// throughput feature (PR #1086), so reusing it would let two incompatible
+// schemas share a filename.
+// v14: builtin alias prices `codex-auto-review` (#1047). Exact-hit cache
 // entries still hold the pre-alias $0; bump so unchanged rollouts reprice.
-// Must be max(main v11 #1075, this)+1 — both claimed v11 independently.
-export const CODEX_CACHE_VERSION = 12
+// Must be max(main v13 #1079, this)+1 — #1090 left Codex results alone.
+export const CODEX_CACHE_VERSION = 14
 export const CODEX_LEGACY_CACHE_FILE = 'codex-results.json'
 export function codexCacheFileName(version = CODEX_CACHE_VERSION): string {
   return `codex-results.v${version}.json`
diff --git a/src/codex-throughput.ts b/src/codex-throughput.ts
index 4796206d..6bdb1583 100644
--- a/src/codex-throughput.ts
+++ b/src/codex-throughput.ts
@@ -1,6 +1,8 @@
 import { open, stat } from 'node:fs/promises'
 import { StringDecoder } from 'node:string_decoder'
 
+import { billableOutputTokens } from './models.js'
+
 export type CodexThroughputPoint = {
   timestamp: string
   model?: string
@@ -105,7 +107,12 @@ function durationMs(payload: RolloutLine['payload']): number | undefined {
   return undefined
 }
 
-function mergeToolIntervals(intervals: Array<[number, number]>, durationMs: number, taskStartedAt?: number, taskCompletedAt?: number): number {
+// Shared with src/providers/codex.ts (#1088 BUG-8): both clip a task's tool
+// intervals to its [taskStartedAt, taskStartedAt + durationMs] window, merge
+// overlaps, and cap the sum at durationMs. Was copy-pasted inline in
+// providers/codex.ts and had already drifted (duration parsing there accepted
+// only a plain `duration_ms` number); one copy now, called from both.
+export function mergeToolIntervals(intervals: Array<[number, number]>, durationMs: number, taskStartedAt?: number, taskCompletedAt?: number): number {
   const windowStart = taskStartedAt ?? (taskCompletedAt !== undefined ? taskCompletedAt - durationMs : undefined)
   const windowEnd = windowStart !== undefined ? windowStart + durationMs : undefined
   const clipped = intervals.map(([start, end]) => [
@@ -400,7 +407,9 @@ export class CodexThroughputReader {
       state.previousOutput = total?.output_tokens ?? state.previousOutput
       state.previousReasoning = total?.reasoning_output_tokens ?? state.previousReasoning
     }
-    const generatedTokens = outputTokens + reasoningTokens
+    // Reasoning is already inside output_tokens (#1075/#1078); same numerator
+    // as the cost path so live Tok/s can't drift from billed tokens (#1079).
+    const generatedTokens = billableOutputTokens('codex', outputTokens, reasoningTokens)
     if (generatedTokens <= 0) return
     const timestampMs = Date.parse(entry.timestamp)
     if (!Number.isFinite(timestampMs)) return
diff --git a/src/daily-cache.ts b/src/daily-cache.ts
index 4e740d81..6be935da 100644
--- a/src/daily-cache.ts
+++ b/src/daily-cache.ts
@@ -6,14 +6,14 @@ import { join } from 'path'
 import { getCodeburnCacheDir } from './cache-dir.js'
 import type { DateRange, ProjectSummary } from './types.js'
 
-// Bumped to 24: `codex-auto-review` now prices as the recommended GPT-5.5
-// row (#1047). Days already finalized under v23 keep that id at $0
+// Bumped to 25: `codex-auto-review` now prices as the recommended GPT-5.5
+// row (#1047). Days already finalized under v24 keep that id at $0
 // forever unless MIN_SUPPORTED_VERSION moves: the daily cache has no
 // per-provider invalidation. The Codex parse version and CODEX_CACHE_VERSION
 // move with this so the lower caches reprice first; this pass then re-derives
 // ALL days from the warm session cache (seconds, not a full re-parse).
 // adoptOlderDailyCaches keeps the superseded file as the baseline. v21 is
-// #946, v22 was this PR's previous claim, v23 is #1075 on main.
+// #946, v22 was this PR's earlier claim, v23 is #1075, v24 is #1090.
 //
 // Bumped to 20: the Codex fast-path read a nested
 // `base_instructions.provenance.model` out of `session_meta` as if it were
@@ -128,9 +128,19 @@ import type { DateRange, ProjectSummary } from './types.js'
 // PR #1056, so those numbers are spoken for and reusing one would let two
 // incompatible schemas share a filename. (feat/core-extraction sits at 26 and
 // reconciles at its final merge by keeping the max.)
-// v24: #1047 activity-id pricing. v23 on main already shipped #1075.
-export const DAILY_CACHE_VERSION = 24
-const MIN_SUPPORTED_VERSION = 24
+//
+// v24: gpt-5.6-codex / gpt-5.6-codex-max pricing (#1077) - added as explicit
+// litellm-snapshot.json rows. getModelCosts already resolved both ids to the
+// correct rate via the `gpt-5.6` prefix fallback before this landed, so a day
+// finalized on any binary that had a `gpt-5.6` snapshot row already carries
+// the right cost; this bump only matters for a day finalized before THAT (a
+// window where neither existed). The daily cache has no per-provider
+// invalidation, so there is no way to tell those days apart from here -
+// raising MIN_SUPPORTED_VERSION forces the one-time re-derivation for
+// everyone, which is a lossless no-op for days already correct.
+// v25: #1047 activity-id pricing. v24 on main already shipped #1090.
+export const DAILY_CACHE_VERSION = 25
+const MIN_SUPPORTED_VERSION = 25
 // Version-suffixed so different binaries each own a distinct file and never
 // clobber an incompatible schema. Bumping the version mints a fresh filename;
 // adoptOlderDailyCaches then unions days out of every previous file (including
diff --git a/src/dashboard.tsx b/src/dashboard.tsx
index 531836f3..0d8bf32e 100644
--- a/src/dashboard.tsx
+++ b/src/dashboard.tsx
@@ -746,6 +746,11 @@ function ModelBreakdown({ projects, pw, bw }: { projects: ProjectSummary[]; pw:
   const anyEstimated = Object.values(modelTotals).some(d => d.estimatedCostUSD > 0)
   const sorted = Object.entries(modelTotals).sort(([, a], [, b]) => b.costUSD - a.costUSD)
   const costLabels = sorted.map(([, data]) => markEstimated(formatCost(data.costUSD), data.estimatedCostUSD > 0))
+  // #1088: this column has zero width slack left at the standard 3-column
+  // breakpoint (verified: widening the header even one character clips
+  // 'cache'/'1-shot' and drops the value column entirely), so the header stays
+  // "Tok/s" -- the legend below carries the "Effective Tok/s" framing and the
+  // caveat that it is not a vendor decode-speed figure.
   const headers = ['cost', 'cache', 'calls', '1-shot', 'Tok/s']
   const values = sorted.map(([model, data], index) => {
     const totalInput = data.freshInput + data.cacheRead + data.cacheWrite
@@ -806,7 +811,7 @@ function ModelBreakdown({ projects, pw, bw }: { projects: ProjectSummary[]; pw:
       {anyEstimated && (
         <Text dimColor wrap="truncate-end">~ estimated cost (priced from estimated tokens)</Text>
       )}
-      <Text dimColor wrap="truncate-end">~ Tok/s: generated tokens / active time; tool wait excluded</Text>
+      <Text dimColor wrap="truncate-end">~ Effective Tok/s: generated tokens ÷ time the agent spent waiting on the model, tool execution excluded. Includes prefill, request assembly and reasoning. Not comparable to vendor decode-speed figures.</Text>
     </Panel>
   )
 }
diff --git a/src/data/litellm-snapshot.json b/src/data/litellm-snapshot.json
index f2f6faa2..01e8cc2f 100644
--- a/src/data/litellm-snapshot.json
+++ b/src/data/litellm-snapshot.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/src/parser.ts b/src/parser.ts
index 43137d74..071bde68 100644
--- a/src/parser.ts
+++ b/src/parser.ts
@@ -1768,7 +1768,7 @@ function buildSessionSummary(
       modelBreakdown[modelKey].tokens.reasoningTokens += call.usage.reasoningTokens
       if (call.activeDurationMs !== undefined) {
         modelBreakdown[modelKey].activeDurationMs = (modelBreakdown[modelKey].activeDurationMs ?? 0) + call.activeDurationMs
-        modelBreakdown[modelKey].activeGeneratedTokens = (modelBreakdown[modelKey].activeGeneratedTokens ?? 0) + (call.activeGeneratedTokens ?? call.usage.outputTokens + call.usage.reasoningTokens)
+        modelBreakdown[modelKey].activeGeneratedTokens = (modelBreakdown[modelKey].activeGeneratedTokens ?? 0) + (call.activeGeneratedTokens ?? billableOutputTokens(call.provider, call.usage.outputTokens, call.usage.reasoningTokens))
         modelBreakdown[modelKey].toolWaitMs = (modelBreakdown[modelKey].toolWaitMs ?? 0) + (call.toolWaitMs ?? 0)
       }
 
diff --git a/src/providers/codex.ts b/src/providers/codex.ts
index 7693c7fa..e6aafe85 100644
--- a/src/providers/codex.ts
+++ b/src/providers/codex.ts
@@ -7,6 +7,7 @@ import { homedir } from 'os'
 import { readSessionLines } from '../fs-utils.js'
 import { billableOutputTokens, calculateCost, getModelCosts } from '../models.js'
 import { readCachedCodexResults, writeCachedCodexResults, getCachedCodexProject, fingerprintFile, type CodexFileFingerprint } from '../codex-cache.js'
+import { mergeToolIntervals } from '../codex-throughput.js'
 import { normalizeContentBlocks } from '../content-utils.js'
 import { estimateTokensFromChars } from '../token-estimate.js'
 import type { ToolCall } from '../types.js'
@@ -612,6 +613,12 @@ type CodexResumeState = {
   turnCounter: number
   currentTurnId: string
   taskStartedAt?: number
+  // #1088 BUG-1: timestamp of the first request-context event (turn_context,
+  // world_state, event_msg/user_message, or response_item/message) seen since
+  // the last task_started. Codex fires task_started before it assembles the
+  // request, so the gap up to this event is CLI/harness startup, not model
+  // wait -- the active window for Tok/s starts here, not at task_started.
+  taskActiveStartedAt?: number
 }
 
 // The state comes back off our own JSON cache; a truncated or hand-edited file
@@ -720,6 +727,7 @@ function createParser(source: SessionSource, seenKeys: Set<string>, capture?: {
       let taskGeneratedTokens = 0
       let taskToolIntervals: Array<[number, number]> = []
       let taskStartedAt: number | undefined = resume?.state.taskStartedAt
+      let taskActiveStartedAt: number | undefined = resume?.state.taskActiveStartedAt
       const openToolStarts = new Map<string, number>()
 
       // Resume point for the NEXT run, refreshed at every task boundary.
@@ -763,6 +771,22 @@ function createParser(source: SessionSource, seenKeys: Set<string>, capture?: {
           continue
         }
 
+        // #1088 BUG-1: the first request-context event since task_started marks
+        // where model-request assembly actually began. Checked before any of
+        // these types `continue` below, and unconditionally (like turn_context's
+        // model capture above) so a forked replay's own request-context events
+        // still mark it -- matching how those events are already read regardless
+        // of isForkReplay, which only filters task boundaries and tool events.
+        if (taskActiveStartedAt === undefined && (
+          entry.type === 'turn_context'
+          || entry.type === 'world_state'
+          || (entry.type === 'event_msg' && entry.payload?.type === 'user_message')
+          || (entry.type === 'response_item' && entry.payload?.type === 'message')
+        )) {
+          const ctxAt = entry.timestamp ? Date.parse(entry.timestamp) : NaN
+          if (Number.isFinite(ctxAt)) taskActiveStartedAt = ctxAt
+        }
+
         if (entry.type === 'turn_context' && typeof entry.payload?.model === 'string') {
           sessionModel = entry.payload.model
           continue
@@ -789,6 +813,7 @@ function createParser(source: SessionSource, seenKeys: Set<string>, capture?: {
           taskToolIntervals = []
           const startedAt = entry.timestamp ? Date.parse(entry.timestamp) : NaN
           taskStartedAt = Number.isFinite(startedAt) ? startedAt : undefined
+          taskActiveStartedAt = undefined
           openToolStarts.clear()
           // Everything decoded so far is now in `results` and the per-task
           // accumulators are empty: a clean restart point for an appended tail.
@@ -817,6 +842,7 @@ function createParser(source: SessionSource, seenKeys: Set<string>, capture?: {
             turnCounter,
             currentTurnId,
             ...(taskStartedAt !== undefined ? { taskStartedAt } : {}),
+            ...(taskActiveStartedAt !== undefined ? { taskActiveStartedAt } : {}),
           }
           continue
         }
@@ -860,26 +886,33 @@ function createParser(source: SessionSource, seenKeys: Set<string>, capture?: {
         }
 
         if (entry.type === 'event_msg' && entry.payload?.type === 'task_complete') {
-          const durationMs = entry.payload.duration_ms
+          // #1088 BUG-8: task_complete's duration can arrive as {secs,nanos} or
+          // a string too (mcp_tool_call_end already tolerates both, below, via
+          // this same durationValueMs helper); read it the same permissive way
+          // instead of only the plain-number `duration_ms` field.
+          const durationMs = durationValueMs(entry.payload.duration_ms) ?? durationValueMs(entry.payload.duration)
           if (typeof durationMs === 'number' && durationMs > 0 && taskGeneratedTokens > 0 && pendingTaskCalls.length > 0) {
             const completedAt = entry.timestamp ? Date.parse(entry.timestamp) : NaN
-            const windowStart = taskStartedAt ?? (Number.isFinite(completedAt) ? completedAt - durationMs : undefined)
-            const windowEnd = windowStart !== undefined ? windowStart + durationMs : undefined
-            const clipped = taskToolIntervals.map(([start, end]) => [
-              windowStart !== undefined ? Math.max(start, windowStart) : start,
-              windowEnd !== undefined ? Math.min(end, windowEnd) : end,
-            ] as [number, number]).filter(([start, end]) => end > start)
-            const merged = clipped.sort((a, b) => a[0] - b[0]).reduce<Array<[number, number]>>((acc, interval) => {
-              const previous = acc.at(-1)
-              if (previous && interval[0] <= previous[1]) previous[1] = Math.max(previous[1], interval[1])
-              else acc.push([...interval])
-              return acc
-            }, [])
-            const toolWaitMs = Math.min(durationMs, merged.reduce((sum, interval) => sum + interval[1] - interval[0], 0))
-            const activeMs = durationMs - toolWaitMs
+            // #1088 BUG-1: Codex fires task_started before it assembles the
+            // request, so the gap up to the first request-context event is
+            // CLI/harness startup, not model wait. The active window starts
+            // there instead of at task_started; task completion (windowEnd,
+            // inside mergeToolIntervals) is unchanged.
+            const activeWindowStart = taskActiveStartedAt ?? taskStartedAt
+            const startupGapMs = activeWindowStart !== undefined && taskStartedAt !== undefined
+              ? activeWindowStart - taskStartedAt
+              : 0
+            const effectiveDurationMs = Math.max(0, durationMs - startupGapMs)
+            // #1088 BUG-8: shared with codex-throughput.ts's live estimate
+            // instead of a second inline copy of the same clip/merge/cap.
+            const toolWaitMs = mergeToolIntervals(taskToolIntervals, effectiveDurationMs, activeWindowStart, Number.isFinite(completedAt) ? completedAt : undefined)
+            const activeMs = effectiveDurationMs - toolWaitMs
             if (activeMs <= 0) continue
             for (const call of pendingTaskCalls) {
-              const generated = call.outputTokens + call.reasoningTokens
+              // Reasoning is already inside output_tokens (#1075/#1078); the
+              // throughput numerator must agree with the cost numerator or
+              // Tok/s reads high for reasoning-heavy calls (#1079).
+              const generated = billableOutputTokens('codex', call.outputTokens, call.reasoningTokens)
               if (generated <= 0) continue
               call.activeGeneratedTokens = generated
               call.activeDurationMs = activeMs * (generated / taskGeneratedTokens)
@@ -1099,6 +1132,10 @@ function createParser(source: SessionSource, seenKeys: Set<string>, capture?: {
           // key would spuriously diverge on a replay and double-count it.
           const dedupKey = `codex:${forkedFromId || sessionId}:${cumulativeTotal}:${total?.input_tokens ?? 0}:${total?.cached_input_tokens ?? 0}:${total?.output_tokens ?? 0}:${total?.reasoning_output_tokens ?? 0}`
 
+          // A drop here can only be a byte-identical replay: the
+          // prevCumulativeTotal guard above already discards a repeated
+          // running total, so nothing reaching this point ever loses real
+          // tokens -- no active-time rescaling needed (#1088 investigation).
           if (seenKeys.has(dedupKey)) continue
           seenKeys.add(dedupKey)
 
@@ -1140,7 +1177,7 @@ function createParser(source: SessionSource, seenKeys: Set<string>, capture?: {
             ...(pendingLocRemoved ? { locRemoved: pendingLocRemoved } : {}),
             ...(pendingEditFailed ? { editFailed: pendingEditFailed } : {}),
           })
-          taskGeneratedTokens += outputTokens + reasoningTokens
+          taskGeneratedTokens += billableOutputTokens('codex', outputTokens, reasoningTokens)
 
           pendingTools = []
           pendingToolSequence = []
diff --git a/src/session-cache.ts b/src/session-cache.ts
index af6c275e..5e200560 100644
--- a/src/session-cache.ts
+++ b/src/session-cache.ts
@@ -286,10 +286,14 @@ export const PROVIDER_PARSE_VERSIONS: Record<string, string> = {
   // models with an explicit cache-write rate. The bucket move does NOT self-heal
   // on read (cached entries store the buckets, not the raw event), so cached
   // sessions must re-parse.
+  // codex-tps-v1 (#1079): activeGeneratedTokens summed output + reasoning, the
+  // same double-count codex-pricing-v1 removed from cost. Cached entries store
+  // activeGeneratedTokens/activeDurationMs/toolWaitMs verbatim (cachedCallToApiCall
+  // passes them through without recomputing), so this does NOT self-heal either.
   // activity-price-v1: `codex-auto-review` now prices via the recommended
   // review model. session-cache.json would otherwise keep the pre-alias $0.
-  // Compose both — a take-ours merge would drop #1075's invalidation.
-  codex: 'mcp-attribution-v5-est-cost-active-timing-mcp-wait-rich-capture-v1-cross-provider-pr-v1-session-meta-model-v1-session-meta-fields-v1-codex-pricing-v1-activity-price-v1',
+  // Compose all three — a take-ours merge would drop #1075 or #1079.
+  codex: 'mcp-attribution-v5-est-cost-active-timing-mcp-wait-rich-capture-v1-cross-provider-pr-v1-session-meta-model-v1-session-meta-fields-v1-codex-pricing-v1-codex-tps-v1-activity-price-v1',
   cursor: 'composer-anchored-crediting-v1-est-cost',
   'cursor-agent': 'workspaceless-transcript-v1',
   // source-provenance-v1 (#944): CLI sessions were misread as VS Code
diff --git a/tests/codex-throughput.test.ts b/tests/codex-throughput.test.ts
index 1e0fd4da..fa4fb2b5 100644
--- a/tests/codex-throughput.test.ts
+++ b/tests/codex-throughput.test.ts
@@ -21,8 +21,38 @@ describe('Codex throughput prototype', () => {
 
     const points = await readCodexThroughput(path)
     expect(points).toHaveLength(2)
-    expect(points[1]).toMatchObject({ generatedTokens: 50, elapsedSeconds: 5, generatedTokensPerSecond: 10, activeDurationSeconds: 7, activeGeneratedTokensPerSecond: 21.428571428571427, toolWaitSeconds: 3, model: 'gpt-5.6-sol' })
-    expect(renderCodexThroughput(points, path)).toContain('21.4 generated tokens/sec')
+    // Reasoning is a subset of output_tokens (#1075/#1078), not additive: the
+    // checkpoints report output 80/40 and reasoning 20/10, so the generated
+    // numerator is output alone (80, then 40), matching the cost path.
+    expect(points[1]).toMatchObject({ generatedTokens: 40, elapsedSeconds: 5, generatedTokensPerSecond: 8, activeDurationSeconds: 7, activeGeneratedTokensPerSecond: (80 + 40) / 7, toolWaitSeconds: 3, model: 'gpt-5.6-sol' })
+    expect(renderCodexThroughput(points, path)).toContain('17.1 generated tokens/sec')
+  })
+
+  it('REGRESSION (#1079): does not add reasoning tokens on top of output for Tok/s', async () => {
+    // Reasoning tokens are a SUBSET of output_tokens (#1075/#1078), not a
+    // separate bucket. A single checkpoint reporting output=60, reasoning=40
+    // must drive Tok/s off 60, not 100 -- summing them would double-count 40
+    // tokens that are already inside the 60. If this ever reverts to
+    // `outputTokens + reasoningTokens`, activeGeneratedTokensPerSecond becomes
+    // 10 (100 tokens / 10s) instead of 6 (60 tokens / 10s).
+    const dir = await mkdtemp(join(tmpdir(), 'codeburn-tps-regression-'))
+    const path = join(dir, 'rollout.jsonl')
+    await writeFile(path, [
+      JSON.stringify({ type: 'session_meta', timestamp: '2026-07-25T00:00:00.000Z', payload: { model: 'gpt-5.5' } }),
+      JSON.stringify({ type: 'event_msg', timestamp: '2026-07-25T00:00:00.000Z', payload: { type: 'task_started' } }),
+      JSON.stringify({ type: 'event_msg', timestamp: '2026-07-25T00:00:10.000Z', payload: { type: 'token_count', info: { last_token_usage: { output_tokens: 60, reasoning_output_tokens: 40 }, total_token_usage: { total_tokens: 100, output_tokens: 60, reasoning_output_tokens: 40 } } } }),
+      JSON.stringify({ type: 'event_msg', timestamp: '2026-07-25T00:00:10.000Z', payload: { type: 'task_complete', duration_ms: 10000 } }),
+    ].join('\n'))
+
+    const points = await readCodexThroughput(path)
+    expect(points).toHaveLength(1)
+    expect(points[0]).toMatchObject({
+      outputTokens: 60,
+      reasoningTokens: 40,
+      generatedTokens: 60,
+      taskGeneratedTokens: 60,
+      activeGeneratedTokensPerSecond: 6,
+    })
   })
 
   it('parses only appended complete lines while watching a growing rollout', async () => {
@@ -36,7 +66,9 @@ describe('Codex throughput prototype', () => {
     await appendFile(path, first.slice(40) + '\n' + second + '\n')
     const points = await reader.update(path)
     expect(points).toHaveLength(2)
-    expect(points[1]).toMatchObject({ generatedTokens: 5, generatedTokensPerSecond: 5 })
+    // second checkpoint: output 4 + reasoning 1 -> billable numerator is 4
+    // (reasoning already inside output_tokens), not the additive 5.
+    expect(points[1]).toMatchObject({ generatedTokens: 4, generatedTokensPerSecond: 4 })
   })
 
   it('ignores replayed pre-fork checkpoints before estimating new work', async () => {
diff --git a/tests/models.test.ts b/tests/models.test.ts
index 3c0ac576..9b0d3fdd 100644
--- a/tests/models.test.ts
+++ b/tests/models.test.ts
@@ -18,6 +18,7 @@ import {
   parseLiteLLMEntry,
 } from '../src/models.js'
 import { getDailyCacheConfigHash } from '../src/usage-aggregator.js'
+import snapshotData from '../src/data/litellm-snapshot.json' with { type: 'json' }
 
 beforeAll(async () => {
   await loadPricing()
@@ -81,6 +82,32 @@ describe('getModelCosts', () => {
     expect(getModelCosts('z-ai/glm-5.3')!.inputCostPerToken).toBe(sibling!.inputCostPerToken)
   })
 
+  it('prices gpt-5.6-codex and gpt-5.6-codex-max, sourced directly from the snapshot (#1077)', () => {
+    // Directly checks the bundled snapshot data (not just the resolved lookup),
+    // so this fails if the litellm-snapshot.json entries are ever reverted even
+    // though getModelCosts would still resolve both ids via the `gpt-5.6` prefix
+    // fallback - explicit rows are still correct and match every other Codex
+    // generation LiteLLM ships (gpt-5-codex, gpt-5.1-codex, gpt-5.1-codex-max,
+    // gpt-5.2-codex, gpt-5.3-codex all carry their base model's exact rate).
+    const snapshot = snapshotData as Record<string, unknown>
+    expect(snapshot['gpt-5.6-codex']).toEqual(snapshot['gpt-5.6'])
+    expect(snapshot['gpt-5.6-codex-max']).toEqual(snapshot['gpt-5.6'])
+
+    const codex = getModelCosts('gpt-5.6-codex')
+    const codexMax = getModelCosts('gpt-5.6-codex-max')
+    expect(codex).not.toBeNull()
+    expect(codexMax).not.toBeNull()
+    expect(codex!.inputCostPerToken).toBe(5e-6)
+    expect(codex!.outputCostPerToken).toBe(3e-5)
+    expect(codex!.cacheWriteCostPerToken).toBe(6.25e-6)
+    expect(codex!.cacheReadCostPerToken).toBe(5e-7)
+    expect(codex!.cacheWriteCostIsExplicit).toBe(true)
+    expect(codexMax).toEqual(codex)
+
+    expect(calculateCost('gpt-5.6-codex', 1_000_000, 1_000_000, 0, 0, 0)).toBeGreaterThan(0)
+    expect(calculateCost('gpt-5.6-codex-max', 1_000_000, 1_000_000, 0, 0, 0)).toBeGreaterThan(0)
+  })
+
   // A price override on a synthetic bare id can only be reached if the leading
   // segment was stripped, so these assert the namespace allowlist itself without
   // pinning to any real model's presence in (or absence from) the snapshot.
diff --git a/tests/providers/codex.test.ts b/tests/providers/codex.test.ts
index 6b6e6c2e..add2029a 100644
--- a/tests/providers/codex.test.ts
+++ b/tests/providers/codex.test.ts
@@ -724,11 +724,58 @@ describe('codex provider - JSONL parsing', () => {
       reasoningTokens: 20,
       tools: ['Bash'],
       activeDurationMs: 7000,
-      activeGeneratedTokens: 120,
+      // Reasoning (20) is a subset of output_tokens (100), not additive
+      // (#1075/#1078/#1079): the billable/throughput numerator is 100, not 120.
+      activeGeneratedTokens: 100,
       toolWaitMs: 3000,
     })
   })
 
+  it('REGRESSION (#1088 BUG-1): excludes the task_started -> first request-context gap from active time', async () => {
+    // Codex fires task_started before it assembles the request; the 7s gap to
+    // the first request-context event (here, the user message) is CLI/harness
+    // startup, not model wait, and must not count toward active time. If this
+    // ever reverts to windowStart = taskStartedAt, activeDurationMs becomes
+    // 20000 (the full duration_ms) instead of 13000 (20000 - the 7s gap).
+    const filePath = await writeSession(tmpDir, '2026-04-14', 'rollout-startup-gap.jsonl', [
+      sessionMeta({ session_id: 'sess-startup-gap', model: 'gpt-5.5' }),
+      JSON.stringify({ type: 'event_msg', timestamp: '2026-04-14T10:00:00Z', payload: { type: 'task_started' } }),
+      userMessage('run the tool', '2026-04-14T10:00:07Z'),
+      tokenCount({ timestamp: '2026-04-14T10:00:20Z', last: { output: 100 }, total: { output: 100, total: 100 } }),
+      JSON.stringify({ type: 'event_msg', timestamp: '2026-04-14T10:00:20Z', payload: { type: 'task_complete', duration_ms: 20_000 } }),
+    ])
+
+    const provider = createCodexProvider(tmpDir)
+    const source = { path: filePath, project: 'test', provider: 'codex' }
+    const calls: ParsedProviderCall[] = []
+    for await (const call of provider.createSessionParser(source, new Set()).parse()) calls.push(call)
+
+    expect(calls).toHaveLength(1)
+    expect(calls[0]).toMatchObject({ activeGeneratedTokens: 100, activeDurationMs: 13_000, toolWaitMs: 0 })
+  })
+
+  it('#1088 BUG-8: reads a task_complete duration reported as {secs,nanos}, not only a plain number', async () => {
+    // mcp_tool_call_end already tolerates {secs,nanos} and string durations
+    // (durationValueMs); task_complete only read the plain-number duration_ms
+    // field, so a task_complete reported the object form was silently dropped
+    // (no active timing at all) instead of parsed.
+    const filePath = await writeSession(tmpDir, '2026-04-14', 'rollout-object-duration.jsonl', [
+      sessionMeta({ session_id: 'sess-object-duration', model: 'gpt-5.5' }),
+      JSON.stringify({ type: 'event_msg', timestamp: '2026-04-14T10:00:00Z', payload: { type: 'task_started' } }),
+      userMessage('run the tool', '2026-04-14T10:00:00Z'),
+      tokenCount({ timestamp: '2026-04-14T10:00:10Z', last: { output: 100 }, total: { output: 100, total: 100 } }),
+      JSON.stringify({ type: 'event_msg', timestamp: '2026-04-14T10:00:10Z', payload: { type: 'task_complete', duration: { secs: 10, nanos: 0 } } }),
+    ])
+
+    const provider = createCodexProvider(tmpDir)
+    const source = { path: filePath, project: 'test', provider: 'codex' }
+    const calls: ParsedProviderCall[] = []
+    for await (const call of provider.createSessionParser(source, new Set()).parse()) calls.push(call)
+
+    expect(calls).toHaveLength(1)
+    expect(calls[0]).toMatchObject({ activeGeneratedTokens: 100, activeDurationMs: 10_000 })
+  })
+
   it('keeps estimated output parsing for large token lines without usage info', async () => {
     // Some rollout variants put token_count metadata beyond the compact head
     // or omit `info` entirely. The line must still reach the character-based