gpt-oss-120b
OpenAIgpt-oss-120b is a 117B-parameter open-weight Mixture-of-Experts (MoE) language model from OpenAI, designed for high-reasoning, agentic, and general-purpose production use cases. Activating just 5.1B parameters per pass, it is optimized to run on a single H100 GPU with native MXFP4 quantization. The model features configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.
Pricing
- Input Tokens: $0.180 /M tokens
- Output Tokens: $0.900 /M tokens
Input Modalities
- Text
Output Modalities
- Text
Capabilities
- Thinking
- Tool calling
- Structured outputs
Providers
Cerebras gpt-oss-120b
Pricing$0.180$0.900
Context131K
Max output32K
Latency13.1S
Throughput1101.0TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
0.00% uptime today
Groq gpt-oss-120b
Pricing$0.180$0.900
Context131K
Max output32K
Latency0.3S
Throughput84.7TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Azure gpt-oss-120b
Pricing$0.180$0.900
Context131K
Max output32K
Latency0.2S
Throughput1101.0TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Performance for gpt-oss-120b
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Try this model
Python
