GPT-5 nano (2025-08-07)
- Reasoning
- Tool use
- Structured output
Prices
0 offerings · prices as listedNo priced offering is listed for this model yet.
Details
- Family
- gpt-nano
Not stated on OpenAI’s pages: max input, input modalities, output modalities, reasoning efforts, reasoning can be off, max thinking budget, built-in tools, knowledge cutoff, aliases.
Cited scores
From third-party leaderboards, not measured by us- Epoch AI · Chess Puzzles 22%
#57 of 85 listed models · high effort · ±4.16
Also listed: low effort 15% · minimal effort 2%
- Epoch AI · FrontierMath Tier 4 v2 2.4%
#60 of 65 listed models · high effort · ±2.44
- Epoch AI · FrontierMath Tiers 1–3 20%
#72 of 84 listed models · high effort · ±2.37
Also listed: low effort 6% · minimal effort 1.8%
- Epoch AI · GPQA Diamond 69.4%
#97 of 168 listed models · high effort · ±2.76
Also listed: medium effort 67.4% · low effort 57.6% · minimal effort 48.5%
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · License · as of Oct 18 – Nov 5, 2026
- EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License. · License · as of Oct 28, 2026
- changes we made
Changes
All changes →No changes recorded yet.
Sources
- Deprecations (opens in a new tab) developers.openai.com · checked Nov 8, 2026
- LiteLLM model prices: gpt-5-nano-2025-08-07 (community data, MIT) (opens in a new tab) github.com · checked Nov 4, 2026
OpenAI’s official policies: data use, privacy, terms →
Some values on this page are still waiting to be checked against official pages: a filled dot is verified, a hollow one is not yet (with or without a source on file). How we verify data
OpenAI · United States · openai.com
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