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OpenAI · Open weights

GPT-OSS 120B TEE

Added Jan 1, 2024Open weights

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Use in the app

Open-source GPT model with 120B parameters. running inside a TEE (Trusted Execution Environment), with provider attestation support.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$2.00
Output
$2.00
Cache read
$2.00

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
16.4K
Average output (7 days)
174 tokens
Longer than 18% of 468 models

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TryMiniMax M1 80KMistral Small 4 119B ThinkingQwen 3 Coder 480BAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

11.6

Tested at high reasoning effort

Better than 25% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    30.4

    Composite of the coding evaluations

    Better than 22% of 168 scored models

  • Math Index

    93.4

    Composite of the math evaluations

    Better than 93% of 118 scored models

Agentic work

  • AutomationBench-AA

    0.2%

    Workflow automation, penalized for guardrail violations

    Better than 2% of 173 scored models

  • AutomationBench-AA tasks completed

    0.0%

    Workflows finished end to end without a guardrail violation

    Better than 0% of 173 scored models

  • GDPval-AAv2.1

    608 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 16% of 187 scored models

Document reasoning

  • GDP.pdf

    4.0%

    Professional reasoning over PDF documents, all-pass rate

    Better than 17% of 171 scored models

  • AA-LCRv1.1

    52.0%

    Reasoning across long documents

    Better than 30% of 309 scored models

  • MLCR-AA

    1.7%

    Long-context reasoning over medical records

    Better than 3% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    19.6%

    Expert-level questions across academic fields

    Better than 47% of 323 scored models

  • GPQA Diamond

    78.2%

    Graduate-level science questions

    Better than 43% of 291 scored models

  • MMLU-Pro

    80.8%

    Multi-subject knowledge and reasoning

    Better than 53% of 132 scored models

  • IFBench

    69.0%

    Following precise output instructions

    Better than 69% of 215 scored models

Coding

  • Terminal-Benchv4.0

    0.0%

    Practical software engineering in a terminal

    Better than 0% of 171 scored models

  • SciCode

    34.0%

    Scientific computing in Python

    Better than 10% of 174 scored models

  • LiveCodeBench

    87.8%

    Recent competitive programming problems

    Better than 96% of 129 scored models

Math

  • AIME 2025

    93.4%

    Competition mathematics, 2025 problems

    Better than 93% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    23.5%

    Earlier terminal task suite

    Better than 44% of 212 scored models

  • τ²-Bench Telecom

    65.8%

    Tool use in a customer-support simulation

    Better than 50% of 214 scored models

  • AA-LCR (unversioned)

    52.0%

    Long-context reasoning, earlier grading

    Better than 30% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. GPT-OSS 120B TEE was tested at high reasoning effort; compare scores measured at the same effort.Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "TEE/gpt-oss-120b",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="TEE/gpt-oss-120b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

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