GPT-OSS 120B TEE
Open-source GPT model with 120B parameters. running inside a TEE (Trusted Execution Environment), with provider attestation support.
Pricing
Auto routing · per 1M tokens- Input
- $2.00
- Output
- $2.00
Specifications
- Context window
- 131.1K
- Max output
- 16.4K
- Parameters
- 120B / 5.1B
- Total / active
- Avg output (7d)
- 341 tokens
- Longer than 31% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
11.6
Coding Index
30.4
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
0.2%
Better than 3% of models compared
Harvey LAB-AA
Legal agentic work criterion pass rate
13.9%
Better than 0% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
0 Elo
Better than 3% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
612 Elo
Better than 30% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
4.0%
Better than 22% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
52.0%
Better than 45% of models compared
MLCR-AA
Medical long-context reasoning
1.1%
Better than 7% of models compared
Reasoning
HLE
Humanity's Last Exam
19.6%
Better than 67% of models compared
IFBench
Instruction-following benchmark
69.0%
Better than 83% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.0%
Better than 16% of models compared
SciCode
Python programming for scientific computing
34.0%
Better than 14% of models compared
LiveCodeBench
Contamination-free coding benchmark
87.8%
Better than 98% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
93.4%
Better than 94% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
80.8%
Better than 71% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
78.2%
Better than 64% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
23.5%
Better than 63% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
65.8%
Better than 60% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
52.0%
Better than 45% of models compared
Last updated Oct 3, 2026
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