gpt-oss-120b Model Specs, Costs & Benchmarks (July 2026)
gpt-oss-120b, developed by OpenAI, features a context window of 131.1K tokens. The model costs $0.04 per million tokens for input and $0.17 per million tokens for output. It was released on August 5, 2025, and has achieved impressive scores in various benchmarks.
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Overview
 gpt-oss-120b | |
|---|---|
Model Provider The organization behind this AI's development | OpenAI |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens |
Release Date When this model first became publicly available | August 5, 2025 11 months ago August 5th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 |
Pricing
| gpt-oss-120b | |
|---|---|
Input Token Cost Cost per million input tokens | $0.04 per million tokens |
Output Token Cost Cost per million output tokens | $0.17 per million tokens |
Capabilities & Features
| gpt-oss-120b | |
|---|---|
Input Types Supported input formats | text |
Output Types Supported output formats | text |
Tokenizer Text encoding system | GPT |
Key Features Advanced capabilities | ✓ Function Calling✓ Structured Output✓ Reasoning Mode |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, LowDefault: Medium |
Open Source Model availability |
Benchmarks
| gpt-oss-120b | |
|---|---|
Intelligence Index Overall model quality across independent evaluations | 23.8 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 30.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 13.2 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,052 Elo (#90 in Game Dev (40.6% win rate)) |
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