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OpenAI: gpt-oss-120b Coding Benchmark

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

Context131,072tokens
Max Output117,964tokens
Inputmodality
Price$0.03/1M input
Ranks from Kilo Code LeaderboardPricing via OpenRouter

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Real-World Usage

Real-world usage statistics from the Kilo Code community

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Pricing

Cost per 1 million tokens

Input Tokens
$0.03
per 1M tokens
Output Tokens
$0.17
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0029

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
openai/gpt-oss-120b
Created
August 5, 2025
Tokenizer
GPT
Input Modalities
Text
Context Window
131,072 tokens
Max Completion Tokens
117,964 tokens
Input Price
$0.03 per 1M tokens
Output Price
$0.17 per 1M tokens
Cache Read Price
$0.03 per 1M tokens
Content Moderation
Disabled

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