Skip to main content

Model profile

GPT-5 mini

OpenAISupersededReleased Aug 7, 2025
Data verified
Superseded:OpenAI has released newer models in this line —GPT-5.4 mini
Overall Score
43.93Public #153 of 200Verified #73 of 99
Arena Elo
1243
Eligible category ranks
1of 8
Price (1M tokens)
$0.25 in / $2 out
API pricing
Speed
86tok/s
Context
128K

Evidence coverage

1 of 321 tracked benchmarks is published. 1 is verified and 0 provisional. 1 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
1 / 321
Verified
1
Provisional
0
Categories with evidence
1 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding1 benchmark
    Verified
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
ProprietaryReasoning
Confidence:
Low
mini

GPT-5 mini ranks #153 out of 200 models on the public leaderboard with an overall score of 43.93/100. It also ranks #73 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

GPT-5 mini 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 mini sits inside the GPT-5 family alongside GPT-5 (high), GPT-5 (medium), GPT-5 nano. This profile currently has 1 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 (#105). 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 43.244.6

  1. Seed-2.0-Mini
    ByteDance
    #14944.6
    Seed-2.0-Mini is #149 with a score of 44.6.
    Compare
  2. Nemotron Ultra 253B
    NVIDIA
    #15044.4
    Nemotron Ultra 253B is #150 with a score of 44.4.
    Compare
  3. Nemotron 3 Nano Omni 30B A3B
    NVIDIA
    #15144.24
    Nemotron 3 Nano Omni 30B A3B is #151 with a score of 44.24.
    Compare
  4. GPT-4.1 mini
    OpenAI
    #15244.19
    GPT-4.1 mini is #152 with a score of 44.19.
    Compare
  5. GPT-5 miniCurrent model
    OpenAI
    #15343.93
    GPT-5 mini is #153 with a score of 43.93.
  6. Ling 2.6 Flash
    InclusionAI
    #15443.87
    Ling 2.6 Flash is #154 with a score of 43.87.
    Compare
  7. Gemma 4 E4B
    Google
    #15543.2
    Gemma 4 E4B is #155 with a score of 43.2.
    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. Coding14%
    Eligible cohort rank #105 of 122Category score 40.5

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
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingRank #105 of 122Percentile 14thWeight 20%1 benchmarkVerified40.5
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

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 Overall1243Not 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.

Coding1 benchmark
Vibe Code BenchBenchmark exact

Vibe Code Bench v1.1

14.17%Display only
Source: Vals AI: Vibe Code Bench v1.1Provenance: Vals Vibe Code Bench v1.1 reports this exact row under openai/gpt-5-mini-2025-08-07; BenchLM stores it on the local vibeCodeBench key.

Frequently Asked Questions

How does GPT-5 mini perform overall in AI benchmarks?

GPT-5 mini has 1 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is GPT-5 mini good for coding and programming?

GPT-5 mini ranks #105 out of 122 models in coding and programming benchmarks with an average score of 40.5. There are stronger options in this category.

Which sibling models are related to GPT-5 mini?

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

Does GPT-5 mini have full benchmark coverage on BenchLM?

Not yet. GPT-5 mini currently has 1 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 mini?

GPT-5 mini 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.

Choose with this week’s evidence

Join 2,000+ readers for ranking moves, new releases, pricing changes, and the evidence behind them.

Free. One email per week.