gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
Tested on 29 benchmarks · BenchGecko score 45.0. Top scores: Chatbot Arena Elo — Overall (1317.6%), OpenCompass — IFEval (88.9%), OpenCompass — AIME2025 (87.9%).
OpenCompass Live Code Bench v6. Fresh competitive programming problems to evaluate code generation without memorization.
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Complex terminal-based engineering tasks. Models must use command-line tools, navigate filesystems, and debug systems through shell interaction.
Stanford HELM WildBench evaluation. Tests reasoning on challenging real-world tasks.
OpenCompass evaluation on AIME 2025 problems. Tests mathematical reasoning on fresh competition problems.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
Stanford HELM evaluation of mathematical reasoning across diverse problem types.
- Typetext
- Context131K tokens (~66 books)
- ReleasedAug 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
Frequently Asked Questions
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- gpt-oss-20b by OpenAI. BenchGecko score 45.0, rank 171 of 312 scored models (normalized average of public benchmark scores).
- List price $0.0180 input · $0.0900 output per 1M tokens (as of 2026-10-05).
- Sold by 12 providers (as of 2026-10-05): Darkbloom (fp8) $0.0180 in / $0.0900 out · AkashML (fp4) $0.0200 in / $0.10 out · DekaLLM (bf16) $0.0290 in / $0.14 out · CoreWeave (fp4) $0.0300 in / $0.13 out · DeepInfra (bf16) $0.0300 in / $0.14 out · and 7 more. Every provider
How to cite · data as of 2026-10-05
gpt-oss-20b · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gpt-oss-20b
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP