GPT OSS 120B API

openai/gpt-oss-120b
GPT OSS 120B is a large-scale open-source language model with 120 billion parameters, designed for advanced reasoning, code generation, and extended context processing.
Context
128K tokens
Input
$0.48139 / 1M tokens
Output
$1.30663 / 1M tokens
Released
Sep 9, 2025

Overview

GPT OSS 120B is a large-scale open-source language model designed for high-capacity reasoning, coding, and general-purpose tasks. It balances state-of-the-art performance typical of 100+ billion parameter models with relative cost efficiency, enabling broad accessibility for researchers and developers. GPT OSS 120B excels across text generation, multi-step logical reasoning, and multilingual understanding, supporting both general and specialized applications.

Technical Specifications

  • Strong performance in reasoning benchmarks with accuracy near top-tier GPT models
  • Excels in academic and industry coding challenges, competing with other large foundation models
  • Robust multi-domain reasoning, including STEM-focused tasks, natural language understanding, and complex dialogue

Performance Benchmarks

  • Model Size: 120 billion parameters
  • Context Window: 128K tokens

API Pricing

  • Input tokens: $0.05486 per million tokens
  • Output tokens: $0.5486 per million tokens

‍Key Capabilities

  • Advanced Reasoning: Employs chain-of-thought and hybrid inference modes to tackle complex, multi-step problems efficiently
  • Multimodal Input Support: Natively processes text and image inputs, enabling rich contextual understanding (planned or available)
  • Tool Integration: Supports external tool usage such as Python code execution, web browsing, and API calls, empowering autonomous workflows
  • Code Generation: Produces and edits code across multiple programming languages with near expert-level performance
  • Scalable Context: Extended context length enables handling of large documents, source code bases, and long conversations

Optimal Use Cases

  • Large-scale document analysis and synthesis
  • Complex software development and debugging assistance
  • Research requiring deep reasoning and multi-step workflows
  • Multimodal AI applications involving textual and visual data
  • Cost-aware deployment for applications needing high model capacity

Code Sample

Comparison with Other Models

vs GPT-4o Mini: GPT OSS 120B offers a much larger parameter count and excels in high-capacity reasoning and code generation, while GPT-4o Mini is smaller and more cost-efficient, with built-in multimodal support for both text and images.

vs GLM-4.5: Although GLM-4.5 has more total and active parameters and leads in advanced tool integration and agentic task performance, GPT OSS 120B remains competitive with strong reasoning benchmarks and greater efficiency on smaller hardware.

Limitations and Considerations

  • Higher cost compared to smaller models, reflecting advanced capabilities and scale
  • Requires explicit prompt design for optimal performance in highly creative or open-ended tasks
  • Latency and throughput depend on input size and model load, with larger contexts incurring longer processing times

Uptime and performance

  • Uptime (24h): 100%
  • Uptime (7d): 100%
  • Availability (24h): 100%
  • Error rate (24h): 0%
  • End-to-end latency (24h median): 19.1s
  • Time to first token (24h median): 1.3s
  • Throughput (24h median): 60.5 tok/s

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

  • Large-scale document analysis and synthesis
  • Complex software development and debugging assistance
  • Research requiring deep reasoning and multi-step workflows
  • Multimodal AI applications involving textual and visual data
  • Cost-aware deployment for applications needing high model capacity

‍

How to use GPT OSS 120B API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/gpt-oss-120b.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "openai/gpt-oss-120b",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/gpt-oss-120b",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-oss-120b","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

GPT OSS 120B API Pricing

TypePrice
Input
$0.48139 / 1M tokens
Output
$1.30663 / 1M tokens
Cached input
$0.48139 / 1M tokens

GPT OSS 120B Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Humanity's Last Exam
14.9%
Expert-level questions across many domainsSourceJuly 8, 2026
GPQA Diamond
80.1%
Google-proof graduate science questions (hardest subset)SourceJuly 8, 2026
AIME 2025
92.5%
Competition mathematics (AIME), 2025SourceJuly 8, 2026
Intelligence
12.3
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Coding
30.4
Composite score across standardised coding evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Math
93.4
Composite score across standardised mathematics evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026

GPT OSS 120B vs other models

ModelInputOutputContextBest for
GPT OSS 120B
This page
$0.48139 / 1M tokens
$1.30663 / 1M tokens
128K tokens
Reasoning + agents
$6.5 / 1M tokens
$39 / 1M tokens
1M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$1.95 / 1M tokens
$11.7 / 1M tokens
1M tokens
Reasoning + agents

Frequently asked questions

GPT OSS 120B has a 131,000 tokens context window and can return up to 131,072 tokens.

GPT OSS 120B takes text as input and returns text.

Use openai/gpt-oss-120b as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

GPT OSS 120B became available on September 9, 2025.

GPT OSS 120B is priced at input $0.48139 / 1M tokens, output $1.30663 / 1M tokens, cached input $0.48139 / 1M tokens.

Yes, GPT OSS 120B can stream responses as they are generated.

GPT OSS 120B was built by OpenAI.

It is accessed via the endpoint https://api.aimlapi.com/v1/chat/completions, not directly through OpenAI's own API.

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