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Model profile

GPT-5 (high)

OpenAIEstablishedReleased Aug 7, 2025
Data verified
Overall Score
58.61Public #63 of 200
Arena Elo
1434
Eligible category ranks
1of 8
Price (1M tokens)
$1.25 in / $10 out
API pricing
Speed
83tok/s
Context
128K

Evidence coverage

20 of 321 tracked benchmarks are published. 2 are verified and 18 provisional. 7 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
20 / 321
Verified
2
Provisional
18
Categories with evidence
7 / 8

Evidence by category

  • Agentic5 benchmarks
    Mixed evidence
  • Coding3 benchmarks
    Mixed evidence
  • Reasoning2 benchmarks
    Reported
  • Knowledge6 benchmarks
    Reported
  • Math1 benchmark
    Reported
  • Multilingual0 benchmarks
    Not measured
  • Multimodal2 benchmarks
    Reported
  • Inst. Following1 benchmark
    Reported
ProprietaryReasoning
Confidence:
Low
reasoning

GPT-5 (high) ranks #63 out of 200 models on the public leaderboard with an overall score of 58.61/100. 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 (high) is a proprietary model with a 128K 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.

GPT-5 (high) sits inside the GPT-5 family alongside GPT-5 (medium), GPT-5 mini, GPT-5 nano. This profile currently has 20 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Agentic (#47). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.

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 58.1559.0

  1. GPT-5.2 Instant
    OpenAI
    #5959.0
    GPT-5.2 Instant is #59 with a score of 59.0.
    Compare
  2. GPT-5.3 Instant
    OpenAI
    #6058.9
    GPT-5.3 Instant is #60 with a score of 58.9.
    Compare
  3. DeepSeek V4 Flash
    DeepSeek
    #6158.88
    DeepSeek V4 Flash is #61 with a score of 58.88.
    Compare
  4. MiMo-V2.5
    Xiaomi
    #6258.62
    MiMo-V2.5 is #62 with a score of 58.62.
    Compare
  5. GPT-5 (high)Current model
    OpenAI
    #6358.61
    GPT-5 (high) is #63 with a score of 58.61.
  6. GPT-5.2
    OpenAI
    #6458.43
    GPT-5.2 is #64 with a score of 58.43.
    Compare
  7. DeepSeek V3.2 (Thinking)
    DeepSeek
    #6558.15
    DeepSeek V3.2 (Thinking) is #65 with a score of 58.15.
    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.

  1. Agentic61%
    Eligible cohort rank #47 of 119Category score 50.0

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 #47 of 119Percentile 61stWeight 22%5 benchmarksMixed sources50.0
CodingRank Not rankedWeight 20%3 benchmarksMixed sources64.5
ReasoningRank Not rankedWeight 17%2 benchmarksReported81.7
KnowledgeRank Not rankedWeight 12%6 benchmarksReported59.4
MathWeight 5%1 benchmarkReportedScore pending
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%2 benchmarksReported89.8
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 Overall1434±4.531,897
Coding1468±8.06,358
Math1434±13.61,888
Instruction Following1410±7.28,264
Creative Writing1375±9.74,245
Multi-turn1420±8.95,025
Hard Prompts1446±5.914,985
Hard Prompts (English)1453±7.47,685
Longer Query1411±7.86,807

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.

Agentic5 benchmarks
AA Agentic IndexReported

Artificial Analysis Agentic Index

25.7%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.
τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

84.8%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.
GDPval-AAReported

GDPval-AA normalized

28.7%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.
GDPval-AAReported
1075Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
JobBenchBenchmark exact
8.5%Display only
Source: JobBench paperProvenance: JobBench reports GPT-5 under OpenCode on the main-set leaderboard. BenchLM stores the reported main-set score.
Coding3 benchmarks
Vibe Code BenchBenchmark exact

Vibe Code Bench v1.1

20.09%Display only
Source: Vals AI: Vibe Code Bench v1.1Provenance: Vals Vibe Code Bench v1.1 reports this exact row under openai/gpt-5-2025-08-07; BenchLM stores it on the local vibeCodeBench key.
AA Coding IndexReported

Artificial Analysis Coding Index

37.8%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-SciCodeReported

Artificial Analysis SciCode

42.9%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

75.6%Display only
Source: Artificial Analysis: artificial-analysis-long-context-reasoning leaderboardProvenance: Display-only row synced from the current Artificial Analysis evaluation leaderboard. 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

85.4%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-HLEReported

Artificial Analysis Humanity's Last Exam

26.5%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.
AA-Omniscience IndexReported

Artificial Analysis Omniscience Index

-8.1%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

40.7%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-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

82.1%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.
Math1 benchmark
AA MATH-500Reported

Artificial Analysis MATH-500

99.4%Display only
Source: Artificial Analysis: math-500 leaderboardProvenance: Display-only row synced from the current Artificial Analysis evaluation leaderboard. It is excluded from BenchLM weighted scoring.
Multimodal2 benchmarks
AA-MMMU-ProReported

Artificial Analysis MMMU-Pro

74.2%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.
Design Arena WebsiteReported

Design Arena Website Elo

1217Display only
Source: OpenRouter model benchmarksProvenance: Display-only Design Arena Website Elo synced from OpenRouter model benchmark metadata. It is excluded from BenchLM weighted scoring.
Inst. Following1 benchmark
AA-IFBenchReported

Artificial Analysis IFBench

73.1%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 (high) perform overall in AI benchmarks?

GPT-5 (high) has 20 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is GPT-5 (high) good for knowledge and understanding?

GPT-5 (high) has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is GPT-5 (high) good for coding and programming?

GPT-5 (high) has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is GPT-5 (high) good for mathematics?

GPT-5 (high) has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.

Is GPT-5 (high) good for reasoning and logic?

GPT-5 (high) has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is GPT-5 (high) good for agentic tool use and computer tasks?

GPT-5 (high) ranks #47 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 50. There are stronger options in this category.

Is GPT-5 (high) good for multimodal and grounded tasks?

GPT-5 (high) has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is GPT-5 (high) good for instruction following?

GPT-5 (high) has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Which sibling models are related to GPT-5 (high)?

GPT-5 (high) belongs to the GPT-5 family. Related variants on BenchLM include GPT-5 (medium), GPT-5 mini, GPT-5 nano.

Does GPT-5 (high) have full benchmark coverage on BenchLM?

Not yet. GPT-5 (high) currently has 20 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 (high)?

GPT-5 (high) has a published context window of 128K, 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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