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  4. gpt-oss-20b
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.

Visit OpenAIAnnouncement
Inputs
Text
Outputs
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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

15.2%
Intelligence
20.7%
Coding Index
3.1%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science68.8%
Humanity's Last Exam11.0%
SciCode - Scientific Coding34.4%
Instruction Following65.1%
Long Context Reasoning33.3%
τ²-Bench - Agentic Tasks60.2%
TerminalBench - System Control10.6%
Specs
Context window
131Ktokens
Input pricing
$0.06per 1M tokens
Output pricing
$0.19per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Advanced Math100%
Logical Logic90%
Scientific Biology70%
General Knowledge70%
Physics Problems70%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderOpenAIAnthropicAnthropic
Release DateAugust 5, 2025July 24, 2026June 9, 2026
Knowledge CutoffJun 2024May 2026-
Context & Limits
Context Window131K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.06
Best Input Pricing
$5$10
Output Pricing
$0.19
Best Output Pricing
$25$50
Modalities
Inputs
text
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index15.2
63.1
Best Intelligence Index
62.1
Coding Index20.7
78.0
Best Coding Index
76.5
Agentic Index3.1
59.2
Best Agentic Index
56.6
gpt-oss-20b
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

69%
gpt-oss-20b
GPQA Benchmark
Score: 69%
gpt-oss-20b
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

11%
gpt-oss-20b
Humanity's Last Exam
Score: 11%
gpt-oss-20b
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

33%
gpt-oss-20b
Long Context Reasoning
Score: 33%
gpt-oss-20b
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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