OpenAI model product
8B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
Updated Aug 17, 2026. Default version: GPT OSS 120B High
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for GPT OSS 120B High.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkLiveCodeBench v6 | Score81.9% | Rank17 | Participants56 | Percentile70.9% | EvidenceC | Evaluated |
| Benchmarkt2-bench | Score63.9% | Rank18 | Participants23 | Percentile22.7% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score69.5% | Rank22 | Participants34 | Percentile36.4% | EvidenceC | Evaluated |
| BenchmarkMMMLU | Score83.8% | Rank34 | Participants49 | Percentile31.3% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score92.5% | Rank35 | Participants115 | Percentile70.2% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score80.7% | Rank53 | Participants134 | Percentile60.9% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score80.9% | Rank89 | Participants239 | Percentile63.0% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for GPT OSS 120B High. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderOpenAI | Output Speed100 tok/s | Catalog Latency6.5 s | Max Input131.1K | Max Output131.1K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionGPT OSS 120B | Released | LLMBoardN/A | Parameters116.8B | Context131.1K | Max output32.8K | Open weightsYes | LicenseApache 2.0 |
| VersionGPT OSS 120B High | Released | LLMBoard43.2 | Parameters116.8B | Context131.1K | Max output131.1K | Open weightsNo | LicenseApache 2.0 |
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Key information about GPT-OSS-120B and its available data.
8B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. 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. It achieves near-parity with OpenAI o4-mini on core reasoning benchmarks. 8B parameters.
Data as of 2026-08-17.
Common questions about GPT-OSS-120B.
GPT-OSS-120B's default version was released on Aug 5, 2025.
No official standard PAYG price is currently available for GPT-OSS-120B.
GPT-OSS-120B was created by OpenAI.
The default version has a 131.1K token context window.
No. The default version is not marked as having publicly available weights.
No provider offering is currently linked to the default version.
Nearby ranked alternatives include Sarvam 105B, DeepSeek-R1, Nova 2 Omni.