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Model profile

GPT-5.1-Codex-Max

OpenAIEstablishedReleased Nov 19, 2025
Data verified
Overall Score
54.48Public #90 of 200
Arena Elo
1349
Eligible category ranks
0of 8
Price (1M tokens)
$1.25 in / $10 out
API pricing
Speed
Not listed
Context
400K

Evidence coverage

13 of 321 tracked benchmarks are published. 1 is verified and 12 provisional. 6 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
13 / 321
Verified
1
Provisional
12
Categories with evidence
6 / 8

Evidence by category

  • Agentic1 benchmark
    Reported
  • Coding2 benchmarks
    Mixed evidence
  • Reasoning2 benchmarks
    Reported
  • Knowledge6 benchmarks
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal1 benchmark
    Reported
  • Inst. Following1 benchmark
    Reported
ProprietaryReasoning
Confidence:
Low
base

GPT-5.1-Codex-Max ranks #90 out of 200 models on the public leaderboard with an overall score of 54.48/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

GPT-5.1-Codex-Max is a proprietary model with a 400K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

This profile currently has 13 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 53.9555.1

  1. Step 3.5 Flash
    StepFun
    #8655.1
    Step 3.5 Flash is #86 with a score of 55.1.
    Compare
  2. Kimi K2.7 Code
    Moonshot AI
    #8755.0
    Kimi K2.7 Code is #87 with a score of 55.0.
    Compare
  3. Grok 4.20
    xAI
    #8854.68
    Grok 4.20 is #88 with a score of 54.68.
    Compare
  4. DeepSeek LLM 2.0
    DeepSeek
    #8954.53
    DeepSeek LLM 2.0 is #89 with a score of 54.53.
    Compare
  5. GPT-5.1-Codex-MaxCurrent model
    OpenAI
    #9054.48
    GPT-5.1-Codex-Max is #90 with a score of 54.48.
  6. MiMo-V2-Flash
    Xiaomi
    #9154.06
    MiMo-V2-Flash is #91 with a score of 54.06.
    Compare
  7. DeepSeek V4 Flash (High)
    DeepSeek
    #9253.95
    DeepSeek V4 Flash (High) is #92 with a score of 53.95.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

No eligible category percentile is available from the published evidence yet.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%1 benchmarkReported83.4
CodingRank Not rankedWeight 20%2 benchmarksMixed sources70.2
ReasoningRank Not rankedWeight 17%2 benchmarksReported91.3
KnowledgeRank Not rankedWeight 12%6 benchmarksReported60.4
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%1 benchmarkReported87.8
Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported91.0

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1349Not availableNot available

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic1 benchmark
τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

83%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Coding2 benchmarks
Vibe Code BenchBenchmark exact

Vibe Code Bench v1.1

22.17%Display only
Source: Vals AI: Vibe Code Bench v1.1Provenance: Vals Vibe Code Bench v1.1 reports this exact row under openai/gpt-5.1-codex-max; BenchLM stores it on the local vibeCodeBench key.
AA-SciCodeReported

Artificial Analysis SciCode

40.2%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Reasoning2 benchmarks
AA-LCRReported

Artificial Analysis Long Context Reasoning

67.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
CritPtReported

Critical Physics Tasks

5.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Knowledge6 benchmarks
Artificial Analysis Intelligence IndexReported
34.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-GPQA DiamondReported

Artificial Analysis GPQA Diamond

86.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-HLEReported

Artificial Analysis Humanity's Last Exam

23.4%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience IndexReported

Artificial Analysis Omniscience Index

-6.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience AccuracyReported

Artificial Analysis Omniscience Accuracy

39.2%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

74.4%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Multimodal1 benchmark
AA-MMMU-ProReported

Artificial Analysis MMMU-Pro

72.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Inst. Following1 benchmark
AA-IFBenchReported

Artificial Analysis IFBench

70.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Frequently Asked Questions

How does GPT-5.1-Codex-Max perform overall in AI benchmarks?

GPT-5.1-Codex-Max has 13 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is GPT-5.1-Codex-Max good for knowledge and understanding?

GPT-5.1-Codex-Max has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.1-Codex-Max good for coding and programming?

GPT-5.1-Codex-Max has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.1-Codex-Max good for reasoning and logic?

GPT-5.1-Codex-Max has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.1-Codex-Max good for agentic tool use and computer tasks?

GPT-5.1-Codex-Max has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.1-Codex-Max good for multimodal and grounded tasks?

GPT-5.1-Codex-Max has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.1-Codex-Max good for instruction following?

GPT-5.1-Codex-Max has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Does GPT-5.1-Codex-Max have full benchmark coverage on BenchLM?

Not yet. GPT-5.1-Codex-Max currently has 13 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of GPT-5.1-Codex-Max?

GPT-5.1-Codex-Max has a published context window of 400K, which determines how much text it can process in a single interaction.

Last updated: July 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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