Capability
55.4/100
field median 59.1
#106 of 230 ranked models
GPT-5.1-Codex-Max
Released Nov 19, 2025 — see all recent releases
Decision reading
GPT-5.1-Codex-Max scores 55.4 out of 100 and ranks #106 of 230. This profile shows 1 source-displayable benchmark rows. API pricing is $1.25 input and $10 output per million tokens, with cached input at $0.125.
Data as of September 2, 2026 · How the score is built
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
1 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
$1.25input / $10 output
input median $1
cached $0.13 · blended $5.63
Speed
Not measured
field median 90 tok/s
Time to first token not measured
Context
400Ktokens
field median 256,000
Maximum output length is tracked separately
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelGPT-5.1-Codex-Max · 55.4 score · $5.63 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- AgenticNot measured
- Coding1/1 verified
- ReasoningNot measured
- KnowledgeNot measured
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not publishedOpenAI GPT-5.1-Codex-Max model documentation
- Context window
- 400KOpenAI GPT-5.1-Codex-Max model documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Established
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.13 per million cached input tokensOpenAI GPT-5.1-Codex-Max model documentation
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingRank Not rankedWeight 20%1 benchmarkVerified | 70.2 | Not ranked | Not available | 20% | 1 benchmark | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Vibe Code BenchVibe Code Bench v1.1 | Score22.17% | Versus best verified row Best verified: Claude Opus 4.7 · 71.00% | Gap48.8 behind | WeightDisplay only | Benchmark exact |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Nov 19, 2025 · you are here
GPT-5.1-Codex-MaxScore 55.4 · $1.25 / $10
Base entry
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GPT-5.1-Codex-Max ranks #106 of 230 on the public leaderboard with a score of 55.42/100. It does not yet have enough sourced coverage for a verified position.
GPT-5.1-Codex-Max is a proprietary model with a 400K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
1 of 416 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Radar
Full release historyGPT-5.1-Codex-Max release history
GPT-5.1-Codex-Max released
OpenAI · Model release
Source confirmed
Radar confirmed these at the source. Already tracking GPT-5.1-Codex-Max? See the free Radar Brief for what changes next.
Frequently asked questions
How does GPT-5.1-Codex-Max perform overall in AI benchmarks?
GPT-5.1-Codex-Max ranks #106 out of 230 models on the public BenchAlign leaderboard, with a score of 55.42/100. Its evidence status is Estimated, and this profile shows 1 source-displayable benchmark row. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GPT-5.1-Codex-Max good for coding and programming?
GPT-5.1-Codex-Max has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Does GPT-5.1-Codex-Max have full benchmark coverage on BenchLM?
No. GPT-5.1-Codex-Max currently has 13 source-displayable rows across 416 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of GPT-5.1-Codex-Max?
GPT-5.1-Codex-Max has a documented context window of 400K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Compare GPT-5.1-Codex-Max with every tracked model409 comparisons
Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.
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