OpenAI · Open weights
GPT-OSS 120B TEE
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
Side by side
GPT-OSS 120B TEE compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GPT-OSS 120B TEEOpenAIThis model | GPT 6.1 SolOpenAIRemove | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Discovery tier | Open weights | Frontier |
| Added | Jan 1, 2024 | Sep 29, 2026 |
| Limits | ||
| Context window | 131.07K | 1.05MBest |
| Max output | 16.38K | 128KBest |
| Average output | 174 tokens | 388 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00 | $2.00 |
| Output | $2.00Best | $10.00 |
| Cache read | $2.00 | $0.10Best |
| Cache write | — | $2.50 |
| Performance | ||
| Throughput | — | 149.7 tok/s |
| Time to first token | — | 4.1 s |
| Request success (24h) | — | 99.9% |
| Benchmark indexes | ||
| Intelligence Index | 11.6 | 47.8Best |
| Coding Index | 30.4 | — |
| Math Index | 93.4 | — |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | No | Yes |
| Structured output | No | Yes |
| PDF input | No | Yes |
| Reasoning effort | — | low, medium, high, xhigh, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GPT-OSS 120B TEE
- GPT 6.1 Sol
Intelligence Index
- GPT-OSS 120B TEE11.6
- GPT 6.1 Sol47.8
GPT-OSS 120B TEE tested at high reasoning effort
GPT-OSS 120B TEE: Better than 25% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GPT-OSS 120B TEE: 30.4
- GPT 6.1 Sol: —
Math Index
Composite of the math evaluations
- GPT-OSS 120B TEE: 93.4
- GPT 6.1 Sol: —
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- GPT-OSS 120B TEE: 0.2%
- GPT 6.1 Sol: 62.6%Top
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- GPT-OSS 120B TEE: 0.0%
- GPT 6.1 Sol: 30.1%Top
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- GPT-OSS 120B TEE: —
- GPT 6.1 Sol: 1,359 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GPT-OSS 120B TEE: 608 Elo
- GPT 6.1 Sol: 1,450 EloTop
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- GPT-OSS 120B TEE: 4.0%
- GPT 6.1 Sol: 30.0%Top
AA-LCRv1.1
Reasoning across long documents
- GPT-OSS 120B TEE: 52.0%
- GPT 6.1 Sol: 83.3%Top
MLCR-AA
Long-context reasoning over medical records
- GPT-OSS 120B TEE: 1.7%
- GPT 6.1 Sol: 32.2%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT-OSS 120B TEE: 19.6%
- GPT 6.1 Sol: 49.9%Top
GPQA Diamond
Graduate-level science questions
- GPT-OSS 120B TEE: 78.2%
- GPT 6.1 Sol: —
MMLU-Pro
Multi-subject knowledge and reasoning
- GPT-OSS 120B TEE: 80.8%
- GPT 6.1 Sol: —
IFBench
Following precise output instructions
- GPT-OSS 120B TEE: 69.0%
- GPT 6.1 Sol: —
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- GPT-OSS 120B TEE: 0.0%
- GPT 6.1 Sol: 48.0%Top
SciCode
Scientific computing in Python
- GPT-OSS 120B TEE: 34.0%
- GPT 6.1 Sol: 53.2%Top
LiveCodeBench
Recent competitive programming problems
- GPT-OSS 120B TEE: 87.8%
- GPT 6.1 Sol: —
Math
AIME 2025
Competition mathematics, 2025 problems
- GPT-OSS 120B TEE: 93.4%
- GPT 6.1 Sol: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GPT-OSS 120B TEE: 23.5%
- GPT 6.1 Sol: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- GPT-OSS 120B TEE: 65.8%
- GPT 6.1 Sol: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT-OSS 120B TEE: 52.0%
- GPT 6.1 Sol: 83.3%Top
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
- GPT-OSS 120B TEE
- GPT 6.1 Sol
| Leaderboard | GPT-OSS 120B TEE | GPT 6.1 Sol |
|---|---|---|
| Combined | Not in top 20 | #15 · 13.1% |
Ranks among Noumen catalog models on Combined leaderboards. Only top-20 placements are listed.
- GPT-OSS 120B TEE
- GPT 6.1 Sol
| Leaderboard | GPT-OSS 120B TEE | GPT 6.1 Sol |
|---|---|---|
| Math | Not in top 20 | #7 · 24.4% |
Ranks among Noumen catalog models on Use cases leaderboards. Only top-20 placements are listed.
- GPT-OSS 120B TEE
- GPT 6.1 Sol
| Leaderboard | GPT-OSS 120B TEE | GPT 6.1 Sol |
|---|---|---|
| Coding | Not in top 20 | #12 · 1537.2 |
| Math | Not in top 20 | #7 · 1513.4 |
| Instruction Following | Not in top 20 | #15 · 1485.0 |
| English | Not in top 20 | #15 · 1491.0 |
| Expert | Not in top 20 | #18 · 1516.5 |
| French | Not in top 20 | #12 · 1507.5 |
| Hard Prompts English | Not in top 20 | #16 · 1509.5 |
| Industry Business And Management And Financial Operations | Not in top 20 | #14 · 1485.4 |
| Industry Entertainment And Sports And Media | Not in top 20 | #18 · 1459.4 |
| Industry Legal And Government | Not in top 20 | #15 · 1496.5 |
| Industry Mathematical | Not in top 20 | #2 · 1537.7 |
| Industry Software And It Services | Not in top 20 | #9 · 1528.5 |
| Spanish | Not in top 20 | #19 · 1477.3 |
| Vision Style Control Overall | Not in top 20 | #5 · 1293.5 |
| Vision Style Control · Creative Writing Vision | Not in top 20 | #2 · 1311.5 |
| Vision Style Control · Diagram | Not in top 20 | #13 · 1319.0 |
| Vision Style Control · English | Not in top 20 | #14 · 1279.4 |
| Vision Style Control · Homework | Not in top 20 | #1 · 1358.3 |
| WebDev Overall | Not in top 20 | #4 · 1749.3 |
| WebDev · Image To Webdev | Not in top 20 | #5 · 1701.7 |
| WebDev · Webdev | Not in top 20 | #4 · 1749.3 |
| WebDev · Webdev-html | Not in top 20 | #1 · 1793.8 |
| WebDev · Webdev-react | Not in top 20 | #5 · 1753.6 |
| Search Overall | Not in top 20 | #6 · 1233.1 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- GPT-OSS 120B TEE
- GPT 6.1 Sol
| Leaderboard | GPT-OSS 120B TEE | GPT 6.1 Sol |
|---|---|---|
| FrontierCode Main | Not in top 20 | #7 · 50.2% |
| FrontierCode Extended | Not in top 20 | #11 · 60.4% |
Ranks among Noumen catalog models on FrontierCode leaderboards. Only top-20 placements are listed.FrontierCode
- GPT-OSS 120B TEE
- GPT 6.1 Sol
| Leaderboard | GPT-OSS 120B TEE | GPT 6.1 Sol |
|---|---|---|
| Epoch Capabilities Index | Not in top 20 | #3 · 168.4 |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
- GPT-OSS 120B TEE
- GPT 6.1 Sol
| Leaderboard | GPT-OSS 120B TEE | GPT 6.1 Sol |
|---|---|---|
| ARC-AGI-1 | Not in top 20 | #6 · 98.5% |
| ARC-AGI-2 | Not in top 20 | #2 · 94.2% |
| ARC-AGI-3 (Default harness) | Not in top 20 | #2 · 52.7% |
Ranks among Noumen catalog models on ARC Prize leaderboards. Only top-20 placements are listed.ARC Prize
- GPT-OSS 120B TEE
- GPT 6.1 Sol
| Leaderboard | GPT-OSS 120B TEE | GPT 6.1 Sol |
|---|---|---|
| Game Development | Not in top 20 | #4 · 1407 |
| Website | Not in top 20 | #10 · 1315 |
| UI Component | Not in top 20 | #8 · 1340 |
| Data Visualization | Not in top 20 | #17 · 1291 |
| 3D | Not in top 20 | #5 · 1437 |
| Web Apps | Not in top 20 | #4 · 1306 |
| Mobile Apps | Not in top 20 | #8 · 1236 |
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
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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