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gpt-oss-120b

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OpenAI LLM optimized for long-form text processing.

OpenAILanguage ModelsClosed
Model page
Updated 2026-06-14

About gpt-oss-120b

gpt-oss-120b is built as a proprietary text-only LLM. Its architecture supports an extended context length of 131072 tokens, enabling coherent handling of lengthy inputs. OpenAI keeps the weights closed and does not release parameter counts.

The model suits applications that require sustained context across documents or multi-turn exchanges. Typical uses include summarization, question answering, and content generation where input length exceeds standard limits. Its closed distribution allows OpenAI to manage updates and access centrally.

Capabilities

Long-context reasoning
Natural language understanding
Code generation
Instruction following
Text summarization
Multi-turn dialogue

How gpt-oss-120b compares

gpt-oss-120b (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · gpt-oss-120b ranks #8 of 66

$0.10
Granite 4.1 8B
$0.11
Granite 4.0 Micro
$0.12
LFM2-24B-A2B
$0.15
Trinity Mini
$0.15
Rnj 1 Instruct
$0.18
DeepSeek V4 Flash
$0.18
gpt-oss-120b
$0.19
Qwen3 30B A3B Instruct 2507
$0.20
Nemotron 3 Nano 30B A3B
$0.21
Hy3 preview
$0.27
Qwen3 Coder 30B A3B Instruct
$0.30
MiMo-V2-Flash
$0.30
Step 3.5 Flash

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long Document Analysis

The model handles long-context reasoning over 131072 tokens to process and extract insights from extensive reports or transcripts.

Software Development Workflows

It supports code generation combined with instruction following to assist in writing, debugging, and refactoring complex codebases.

Conversational Applications

Strong multi-turn dialogue and natural language understanding enable reliable interactive agents for customer service or tutoring scenarios.

Strengths & limitations

Strengths

  • +Handles extended contexts well
  • +Strong general reasoning ability
  • +Versatile text generation

Limitations

  • Text-only modality
  • May produce hallucinations
  • Large model size increases inference cost

Cost calculator

Estimate what gpt-oss-120b would cost for your usage.

$0.00013
per request
$1.3
estimated / month

Based on gpt-oss-120b's $0.04/1M input · $0.18/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "openai/gpt-oss-120b",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: openai/gpt-oss-120b

Editor's verdict

Our take on gpt-oss-120b

gpt-oss-120b is OpenAI's proprietary language models with a 131K-token context window.

At $0.18 per 1M output tokens, it is very cost-efficient for its class.

It is available through OpenAI's API and aggregators like OpenRouter.

Best suited to handles extended contexts well and strong general reasoning ability.

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Frequently asked questions

The model provides a context length of 131072 tokens.

User reviews

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