OpenAI
Released August 5, 2025Cutoff June 2024

gpt-oss-20b

gpt-oss-20b is OpenAI's open-weight reasoning model built for local, on-device, and specialized use, with adjustable reasoning and harmony format.

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Model Overview

Capabilities, design details, and architectural traits

gpt-oss-20b - OpenAI's Open-Weight Reasoning Model for Local and On-Device Use

gpt-oss-20b is an open-weight reasoning model released under the Apache 2.0 license. OpenAI positions it as the smaller of two gpt-oss models, built for lower latency, local, and specialized use rather than large-scale production serving.

TraitDetail
Defining purposePositioned by OpenAI for lower latency, local, and specialized use cases, as the smaller of the two gpt-oss models.
On-device deploymentDocumented as ideal for on-device use, local inference, or rapid iteration without costly infrastructure, rather than large-scale production serving.
Format requirementTrained on OpenAI's harmony response format; OpenAI states it should only be used in that format, since it will not work correctly otherwise.
Agentic tool useSupports adjustable reasoning effort across low, medium, and high settings, and is built for agentic workflows with tool use such as web search and Python code execution.

A Different Risk Profile Because It Is Open Weight

OpenAI states that open-weight models like gpt-oss-20b carry a different risk profile than its proprietary models. Once released, a determined attacker could fine-tune the weights to bypass safety refusals, and OpenAI would have no way to add further mitigations or revoke access after the fact.

Benchmark Performance

Independent evaluations · Artificial Analysis

9.0%
Intelligence
20.7%
Coding Index
1.2%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science68.8%
Humanity's Last Exam11.0%
SciCode - Scientific Coding38.9%
Instruction Following65.1%
Long Context Reasoning34.7%
τ²-Bench - Agentic Tasks60.2%
TerminalBench - System Control10.6%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderOpenAIAnthropicAnthropic
Release DateAugust 5, 2025September 22, 2026September 28, 2026
Knowledge CutoffJun 2024-Jun 2026
Context & Limits
Context Window131K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.07
Best Input Pricing
$4$2
Output Pricing
$0.18
Best Output Pricing
$20$10
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index9.0
57.6
Best Intelligence Index
56.0
Coding Index20.7--
Agentic Index1.2--
gpt-oss-20b
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

11%
gpt-oss-20b
Humanity's Last Exam
Score: 11%
gpt-oss-20b
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

35%
gpt-oss-20b
Long Context Reasoning
Score: 35%
gpt-oss-20b
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

39%
gpt-oss-20b
SciCode Benchmark
Score: 39%
gpt-oss-20b
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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