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Model details

gpt-oss-120b

gpt-oss-120b is an open-weight language model released by OpenAI as part of its gpt-oss family, built on a Mixture-of-Experts architecture with 117 billion total parameters and 5.1 billion activated per forward pass. Native MXFP4 quantization lets the weights run efficiently on a single H100 GPU, lowering the barrier to self-hosted or high-throughput deployments. The model is trained in OpenAI's Harmony response format and exposes configurable reasoning depth along with full chain-of-thought access, giving developers explicit control over how much deliberation happens before each answer.

Beyond text generation, gpt-oss-120b is designed for agentic and production workloads, with native support for function calling, browsing, and structured output generation that fits into pipelines requiring JSON-constrained responses or external tool orchestration. Third-party listings report strong results on graduate-level reasoning evaluations such as GPQA Diamond, alongside competitive scores on instruction-following and conversational agent benchmarks, indicating a balanced profile rather than a narrow specialist. Open weights, a long context window, and adjustable reasoning effort make it a practical fit for teams that want a transparent reasoning model they can fine-tune or self-host while still benefiting from OpenAI-aligned agentic capabilities.

Nebius Token Factoryopenai/gpt-oss-120b

Quick Info

Powered by
Provider
Nebius Token Factory
Model key
openai/gpt-oss-120b
Release date
Jan 10, 2026
Last updated
Feb 4, 2026
Knowledge cutoff
2025-09
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.15
Output token cost
$0.60

Limits

Input tokens
124,000 tokens
Output tokens
8,192 tokens
Context window
131,072 tokens

Latest news about gpt-oss-120b

Nebius Token Factory

Coverage

As AI agent deployments grow across enterprise systems, organizations need a way to bring together foundation models, tools, and governance frameworks to...

Nebius Token Factory

Coverage

HyperNova 60B 2602, a 50% compressed version of OpenAI’s gpt-oss-120B, accelerates Multiverse’s plans to deliver hyper-efficient, high-performance models for free to developersDONOSTIA, Spain, Feb. 24, 2026 (GLOBE NEWSWIRE) -- Multiverse Computing, the leader in AI model compression, today announced the release of Hype

Regolo AI

CoverageBenchmark

An arXiv preprint (December 2025) by Bi, Zhang, Song, and Tseng benchmarks the GPT-OSS model family against contemporary LLMs across ten financial NLP tasks, including sentiment analysis, question answering, and entity recognition on datasets such as Financial PhraseBank, FiQA-SA, and FLARE FINER-ORD. The evaluation co The study reports a counterintuitive finding: GPT-OSS-20B achieves accuracy of 65.1% versus 66.5% for GPT-OSS-120B, while delivering a 198.4 Token Efficiency Score and processing at 159.80 tokens per second. The authors conclude that GPT-OSS models consistently outperform larger competitors including Qwen3-235B, sugges

Weights & Biases

CoverageRelease Notes

NVIDIA NIM for Large Language Models Release 2.0.11 officially documents several deployment constraints specific to OpenAI's gpt-oss-120b. For the MXFP4 TP8 profile on NVIDIA A10G and NVIDIA A100-SXM4-40GB, the release notes require NIM_KVCACHE_PERCENT=0.80 so that the sampler warm-up has sufficient device memory. Addi The fused mixture-of-experts kernels shared by gpt-oss-120b, gpt-oss-20b, and nemotron-3-nano support LoRA adapters with a maximum rank of 128, with adapters above that rank explicitly unsupported. The NIM 2.0.11 release also updates the inference backend to vLLM 0.27.0 and ships SGLang Model-Free NIM container v2.1.2.

Nebius Token Factory

CoverageBenchmark

OpenRouter's third-party model routing page independently lists Nebius Token Factory as a hosted provider for openai/gpt-oss-120b, offering the OpenAI-released 117B-parameter MoE model (5.1B active parameters, native MXFP4 quantization, 131K context, configurable reasoning depth, function calling, browsing, and structu This listing provides independent commercial corroboration that gpt-oss-120b is served on Nebius Token Factory under a premium tier relative to cheaper providers such as AkashML, CoreWeave, and DeepInfra (which start at $0.03 input). The Nebius entry sits alongside enterprise-grade alternatives including Amazon Bedrock

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