Skip to main content

Model profile

GPT-5 nano

OpenAISupersededReleased Aug 7, 2025
Data verified
Superseded:OpenAI has released newer models in this line —GPT-5.4 nano
Overall Score
Coming soon
Arena Elo
Not listed
Eligible category ranks
0of 8
Price (1M tokens)
$0.05 in / $0.4 out
API pricing
Speed
137tok/s
Context
400K

Evidence coverage

0 of 323 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
0 / 323
Verified
0
Provisional
0
Categories with evidence
0 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • 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
nano

BenchLM is tracking GPT-5 nano, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

GPT-5 nano 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.

GPT-5 nano sits inside the GPT-5 family alongside GPT-5 (high), GPT-5 (medium), GPT-5 mini. This profile does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

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 45.8847.41

  1. o3-mini
    OpenAI
    #13647.41
    o3-mini is #136 with a score of 47.41.
    Compare
  2. Gemma 4 12B
    Google
    #13747.29
    Gemma 4 12B is #137 with a score of 47.29.
    Compare
  3. Qwen3.5 Plus
    Alibaba
    #13847.2
    Qwen3.5 Plus is #138 with a score of 47.2.
    Compare
  4. GPT-5 nanoCurrent model
    OpenAI
    #13946.36
    GPT-5 nano is #139 with a score of 46.36.
  5. Mistral Small 4
    Mistral
    #14046.23
    Mistral Small 4 is #140 with a score of 46.23.
    Compare
  6. o1-pro
    OpenAI
    #14145.94
    o1-pro is #141 with a score of 45.94.
    Compare
  7. Claude 4.1 Opus
    Anthropic
    #14245.88
    Claude 4.1 Opus is #142 with a score of 45.88.
    Compare

Benchmark data coming soon

BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.

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
CodingWeight 20%0 benchmarksNot measuredNot measured
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

Frequently Asked Questions

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

We are tracking GPT-5 nano, but sourced benchmark coverage is still coming soon. The profile lists only the model metadata that has a verified public source.

Which sibling models are related to GPT-5 nano?

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

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

Not yet. GPT-5 nano currently has 0 published benchmark scores out of the 323 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 nano?

GPT-5 nano has a published context window of 400K, which determines how much text it can process in a single interaction.

Last updated: July 23, 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.