OpenAI: gpt-oss-20b
Analysis Summary
OpenAI's gpt-oss-20b is a compact open-weight model with a strong benchmark profile for its size and price. A livecodebench score of 0.777 and agentic index of 35.4 place it ahead of many larger models on coding and tool-use tasks. Instruction following (ifbench 0.65) is particularly strong, and the math index of 89.3 is best-in-class for this price tier.
For businesses, gpt-oss-20b is well-suited to high-volume coding assistance, structured output generation, and lightweight agentic pipelines where cost efficiency is critical. Long-context reasoning (lcr 0.31) is moderate, so very complex multi-step document analysis may benefit from a larger model.
At $0.029 input and $0.14 output per million tokens, this is one of the most cost-effective verified models available. Teams running large-scale automation or wanting a reliable coding assistant at minimal cost should consider it a primary option.
Assessed June 30, 2026
Editorial notes
OpenAI gpt-oss-20b pairs a livecodebench score of 0.777, agentic index of 35.4, and strong instruction following at $0.029 input, making it an exceptional value proposition.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: gpt-oss-20b compares
OpenAI: gpt-oss-20b ranks #177 of 385 AI models we track for overall intelligence, #81 of 129 for coding, #129 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.03 per million input tokens it is cheaper than 76% of comparable models.
About OpenAI: gpt-oss-20b
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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: gpt-oss-20b stack up?
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Model Information
| OpenRouter ID |
openai/gpt-oss-20b
|
| Provider | openai |
| Release Date | August 5, 2025 |
| Context Length | 131,072 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000029 |
| Output | $0.14 | $0.000140 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
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Frequently asked questions about OpenAI: gpt-oss-20b
How much does OpenAI: gpt-oss-20b cost?
OpenAI: gpt-oss-20b costs $0.03 per million input tokens and $0.14 per million output tokens.
What is the context window of OpenAI: gpt-oss-20b?
OpenAI: gpt-oss-20b has a context window of 131,072 tokens (131K).
Is OpenAI: gpt-oss-20b good for coding?
On our coding benchmark index, OpenAI: gpt-oss-20b ranks #81 of 129 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: gpt-oss-20b do?
OpenAI: gpt-oss-20b supports tool use and function calling.
Who created OpenAI: gpt-oss-20b?
OpenAI: gpt-oss-20b is developed by OpenAI and was released on August 5, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 30, 2026 9:37 pm