Capability
51.6/100
field median 58.1
#123 of 232 ranked models
GPT-5.1-Codex
Released Oct 15, 2025 — see all recent releases
Decision reading
GPT-5.1-Codex scores 51.6 out of 100 and ranks #123 of 232. This profile shows 3 source-displayable benchmark rows; its strongest eligible category is Agentic at #54. API pricing is $1.25 input and $10 output per million tokens, with cached input at $0.125.
Data as of September 4, 2026 · How the score is built
Share or export
Strongest published evidence
Agentic ranks #54. Particularly useful for coding agents, browser research, and computer-use workflows.
Validate before choosing
3 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 92 tok/s
Time to first token not measured
Context
400Ktokens
field median 256,000
Maximum output length is tracked separately
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
GPT-5.1-Codex category percentile values
- Agentic65th percentile
- Coding52nd percentile
- ReasoningNot eligible
- KnowledgeNot eligible
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#54/151
- Coding#89/183
- ReasoningNot ranked
- KnowledgeNot ranked
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
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 · 51.6 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.
- Agentic2/2 verified
- 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
- gpt-5.1-codexOpenAI GPT-5.1-Codex model documentation
- Context window
- 400KOpenAI GPT-5.1-Codex 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 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 |
|---|---|---|---|---|---|---|
| AgenticRank #54 of 151Percentile 65thWeight 22%2 benchmarksVerified | 51.4 | #54 of 151 | 65th | 22% | 2 benchmarks | Verified |
| CodingRank #89 of 183Percentile 52ndWeight 20%1 benchmarkVerified | 47.4 | #89 of 183 | 52nd | 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 | Score13.12% | Versus best verified row Best verified: Claude Opus 4.7 · 71.00% | Gap57.9 behind | WeightDisplay only | Benchmark exact |
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Gert LabsGert Labs Composite Game Benchmark | Score49.68% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap23.3 behind | WeightDisplay only | Benchmark exact |
| JobBench | Score26.2% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap38.7 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.
Oct 15, 2025 · you are here
GPT-5.1-CodexScore 51.6 · $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 ranks #123 of 232 on the public leaderboard with a score of 51.62/100. It does not yet have enough sourced coverage for a verified position.
GPT-5.1-Codex 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.
Tracked from Vals.ai Vibe Code Bench v1.1 exact leaderboard data. Kept unranked until broader benchmark coverage is available.
3 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #54, while its lowest eligible position is Coding at #89. particularly useful for coding agents, browser research, and computer-use workflows.
Frequently asked questions
How does GPT-5.1-Codex perform overall in AI benchmarks?
GPT-5.1-Codex ranks #123 out of 232 models on the public BenchAlign leaderboard, with a score of 51.62/100. Its evidence status is Estimated, and this profile shows 3 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GPT-5.1-Codex good for coding and programming?
GPT-5.1-Codex ranks #89 out of 183 eligible models for coding and programming, with a public category score of 47.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-5.1-Codex good for agentic tool use and computer tasks?
GPT-5.1-Codex ranks #54 out of 151 eligible models for agentic tool use and computer tasks, with a public category score of 51.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Does GPT-5.1-Codex have full benchmark coverage on BenchLM?
No. GPT-5.1-Codex currently has 16 source-displayable rows across 422 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?
GPT-5.1-Codex 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 with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
Watch GPT-5.1-Codex in the weekly brief
Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.
Read a sample issueJoin 2,000+ readers.