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Model profile

GPT-5 (medium)

OpenAIEstablishedReleased Aug 7, 2025
Data verified
Overall Score
55.15Public #84 of 200Verified #49 of 99
Arena Elo
1328
Eligible category ranks
1of 8
Price (1M tokens)
Not listedAPI pricing
Speed
83tok/s
Context
128K

Evidence coverage

14 of 321 tracked benchmarks are published. 0 are verified and 14 provisional. 7 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
14 / 321
Verified
0
Provisional
14
Categories with evidence
7 / 8

Evidence by category

  • Agentic1 benchmark
    Reported
  • Coding1 benchmark
    Reported
  • 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 (medium) ranks #84 out of 200 models on the public leaderboard with an overall score of 55.15/100. It also ranks #49 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

GPT-5 (medium) 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 (medium) sits inside the GPT-5 family alongside GPT-5 (high), GPT-5 mini, GPT-5 nano. This profile currently has 14 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 Coding (#45). This performance profile makes it particularly well-suited for software development and code generation tasks.

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 55.0–55.47

  1. DeepSeek V4 Pro (High)
    DeepSeek
    #8155.47
    DeepSeek V4 Pro (High) is #81 with a score of 55.47.
    Compare
  2. DeepSeek V3.2
    DeepSeek
    #8255.4
    DeepSeek V3.2 is #82 with a score of 55.4.
    Compare
  3. Gemini 3.1 Pro
    Google
    #8355.3
    Gemini 3.1 Pro is #83 with a score of 55.3.
    Compare
  4. GPT-5 (medium)Current model
    OpenAI
    #8455.15
    GPT-5 (medium) is #84 with a score of 55.15.
  5. GLM-4.6
    Z.AI
    #8555.12
    GLM-4.6 is #85 with a score of 55.12.
    Compare
  6. Step 3.5 Flash
    StepFun
    #8655.1
    Step 3.5 Flash is #86 with a score of 55.1.
    Compare
  7. Kimi K2.7 Code
    Moonshot AI
    #8755.0
    Kimi K2.7 Code is #87 with a score of 55.0.
    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. Coding64%
    Eligible cohort rank #45 of 122Category score 53.1

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 benchmarkReported75.6
CodingRank #45 of 122Percentile 64thWeight 20%1 benchmarkReported53.1
ReasoningRank Not rankedWeight 17%2 benchmarksReported81.0
KnowledgeRank Not rankedWeight 12%6 benchmarksReported58.3
MathWeight 5%1 benchmarkReportedScore pending
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%2 benchmarksReported88.2
Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported88.0

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 Overall1328Not 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

86.5%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.
Coding1 benchmark
AA-SciCodeReported

Artificial Analysis SciCode

41.1%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.
Reasoning2 benchmarks
AA-LCRReported

Artificial Analysis Long Context Reasoning

72.8%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.
CritPtReported

Critical Physics Tasks

0.0%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.
Knowledge6 benchmarks
Artificial Analysis Intelligence IndexReported
33.7%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

84.2%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-HLEReported

Artificial Analysis Humanity's Last Exam

23.5%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

-10.1%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

38.9%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.
AA-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

80.1%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

99.1%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

74.3%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.
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

70.6%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.

GPT-5 Family

reasoning · medium

Canonical Entry

GPT-5 (high)
GPT-5 (high)Score 58.61GPT-5 miniScore 43.93GPT-5 nanoScore 46.36

Frequently Asked Questions

How does GPT-5 (medium) perform overall in AI benchmarks?

GPT-5 (medium) has 14 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

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

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

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

GPT-5 (medium) ranks #45 out of 122 models in coding and programming benchmarks with an average score of 53.1. There are stronger options in this category.

Is GPT-5 (medium) good for mathematics?

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

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

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

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

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

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

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

GPT-5 (medium) 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 (medium)?

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

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

Not yet. GPT-5 (medium) currently has 14 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 (medium)?

GPT-5 (medium) has a published context window of 128K, which determines how much text it can process in a single interaction.

Related Resources

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

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