Data as of October 20, 2026 · How the score is built
GPT-5.1-Codex
Decision readingGPT-5.1-Codex scores 50.4 out of 100 and ranks #95 of 227. This profile shows 4 source-displayable benchmark rows; its strongest eligible category is Coding at #83. API pricing is $1.25 input and $10 output per million tokens, with cached input at $0.125.
Released Nov 13, 2025 — see all recent releases
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.
Capability
50.4/100
field median 49.8#95 of 227 ranked models
Public
#95of 227
Verified —
Price
$1.25input / $10 output
input median $0.72cached $0.13 · blended $5.63
Speed
126tok/s
field median 93.5 tok/sFirst token 7.14 s
Context
400Ktokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Coding ranks #83. Particularly well-suited for software development and code generation tasks.
Validate before choosing
4 published rows leave some tracked benchmark slots empty.
Source-linked · 4 displayable benchmark rows
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%2 benchmarksVerified | Score pending | 2 benchmarks | Verified | |||
| CodingRank #83 of 152Percentile 46thWeight 20%2 benchmarksVerified | 33.7 | 2 benchmarks | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
4 of 726 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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
- Coding2/2 verified
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
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
- AgenticNot eligible
- Coding46th percentile
- ReasoningNot eligible
- MultimodalNot eligible
- KnowledgeNot eligible
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- Coding#83/152
- ReasoningNot ranked
- MultimodalNot ranked
- KnowledgeNot ranked
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
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.
Coding2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score85.6% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap4.9 behind | Weight8% ref. weight | |
| Vibe Code BenchVibe Code Bench v1.1 | Score13.12% | Versus best verified row Best verified: Gemini 4 Argon · 91.90% | Gap78.8 behind | WeightDisplay only | Benchmark exact |
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| JobBench | Score26.2% | Versus best verified row Best verified: Muse Wonder Full · 75.3% | Gap49.1 behind | Weight6% ref. weight | Benchmark exact |
| 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 |
Bars run 0–100; the dark tick marks the best source-verified value
All 4 rowsWhat 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.
GPT-5.1-Codex · 50.4 score · $5.63 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
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
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 #95 of 227 on the public leaderboard with a score of 50.37/100. 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.
4 of 726 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #83. particularly well-suited for software development and code generation tasks.
Last updated October 20, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Where to run GPT-5.1-Codex by API
OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on October 20, 2026.
| Host | Input /1M | Output /1M | Cached /1M | Context |
|---|---|---|---|---|
| OpenRouter | $1.25 | $10.00 | $0.13 | 400K |
Questions
How does GPT-5.1-Codex perform overall in AI benchmarks?
GPT-5.1-Codex ranks #95 out of 227 models on the public BenchAlign leaderboard, with a score of 50.37/100. Its evidence status is Estimated, and this profile shows 4 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 #83 out of 152 eligible models for coding and programming, with a public category score of 33.7/100. 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 has source-displayable benchmark coverage for agentic tool use and computer tasks, 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 have full benchmark coverage on BenchLM?
No. GPT-5.1-Codex currently has 16 source-displayable rows. 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.