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  1. Models
  2. Text
  3. Tee

GPT-OSS 120B TEE

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

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.15
Output
$0.60
Cache read
$0.15
Compare provider prices

Specifications

Context window
131.1K
Max output
16.4K
Parameters
120B / 5.1B
Total / active

Benchmarks

Sourced from LMArena.

Arena Score

1351.7

Overall Rank

#220 / 421

Votes

30,133

Confidence Interval

1347.3 - 1356.1

Category Scores

Coding

#228 / 416

6,391 votes

1389.3

Math

#191 / 404

1,775 votes

1380.8

Longer Query

#268 / 399

6,546 votes

1324.3

Creative Writing

#271 / 419

3,892 votes

1278.8

Instruction Following

#238 / 421

7,842 votes

1323.5

Hard Prompts

#228 / 421

14,645 votes

1361.7

Additional Categories
22

Japanese

#161 / 288

574 votes

1323.9

Spanish

#189 / 303

850 votes

1368.7

Industry Mathematical

#191 / 401

1,534 votes

1383.5

German

#200 / 320

668 votes

1328.0

Polish

#200 / 244

1,734 votes

1331.1

French

#206 / 301

459 votes

1356.0

Korean

#212 / 289

680 votes

1266.7

Chinese

#216 / 395

2,273 votes

1376.4

Non English

#216 / 421

17,103 votes

1337.2

Industry Business And Management And Financial Operations

#217 / 414

5,352 votes

1352.2

Exclude Ties

#220 / 421

21,408 votes

1313.0

Expert

#220 / 371

1,393 votes

1357.2

Industry Medicine And Healthcare

#221 / 390

1,625 votes

1366.8

Russian

#222 / 385

2,136 votes

1336.4

Industry Software And It Services

#224 / 421

10,185 votes

1385.1

Industry Life And Physical And Social Science

#229 / 419

4,819 votes

1361.4

English

#235 / 421

12,991 votes

1361.4

Hard Prompts English

#240 / 419

6,461 votes

1365.9

Industry Legal And Government

#244 / 393

1,870 votes

1340.7

Multi Turn

#245 / 419

4,874 votes

1326.0

Industry Writing And Literature And Language

#248 / 420

6,627 votes

1309.8

Industry Entertainment And Sports And Media

#256 / 419

5,474 votes

1286.5

Published 2026-11-09 · Matched as gpt-oss-120b · CC BY 4.0

LMArena Dataset

Leaderboard results

These leaderboards tested GPT OSS 120B, another version of this model.

BenchmarkScoreRank on NanoGPT
Epoch AI Benchmarking Hub

Epoch AI data, CC BY 4.0 · Updated Nov 13, 2026

Epoch Capabilities Index

140.2

#94 of 115

GPQA Diamond

75.8%

#88 of 119

OTIS Mock AIME 2024–2025

88.9%

#60 of 121

Mystery Game Puzzles

2.0%

#77 of 77

EQ-Bench

EQ-Bench data, MIT · Updated Nov 13, 2026

Creative Writing v3

956

#86 of 96

Longform Writing

35.8

#86 of 97

EQ-Bench 3

1073

#38 of 49

UGI Leaderboard

UGI Leaderboard data, Apache-2.0 · Updated Oct 16, 2026

UGI Score

19.6

#133 of 149

UGI Willingness

2.0

#120 of 149

UGI Writing

38.5

#96 of 149

Filtered and ranked to models on NanoGPT.

Providers

Provider information for this model’s automatic routing. These routes cannot be selected individually.

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto
Recommended
$0.15$0.60$0.15N/AN/A
Redpill
Redpill
GLB
$0.15$0.60$0.15N/AN/A
Privacy:ZDR, prompts not retained

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GPT OSS 120B

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An open-weight, 117B-parameter Mixture-of-Experts (MoE) language model designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.

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GPT OSS 20B

openai/gpt-oss-20b

An open-weight 21B parameter model released under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for lower-latency inference and deployability on consumer or single-GPU hardware. The model is trained in OpenAI's Harmony response format and supports reasoning level configuration, fine-tuning, and agentic capabilities including function calling, tool use, and structured outputs.

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GPT-6.1 Terra Pro uses the same underlying model as GPT-6.1 Terra with Pro reasoning mode enabled for higher-quality responses on complex tasks.

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