openai/gpt-oss-120b
Model weightsgpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B 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.
| $0.03 | $0.15 | $0.015 | 0.80s | 41 tps | ||
| $0.03 | $0.15 | $0.03 | 1.89s | 25 tps | ||
| $0.03 | $0.17 | $0.03 | 0.23s | 110 tps | ||
| $0.03 | $0.18 | $0.03 | 0.60s | 45 tps | ||
| $0.03 | $0.187 | $0.03 | 0.42s | 105 tps | ||
| $0.037 | $0.17 | -- | 0.32s | 44 tps | ||
| $0.05 | $0.25 | $0.05 | 0.30s | 248 tps | ||
| $0.05 | $0.25 | -- | 0.63s | 60 tps | ||
| $0.05 | $0.25 | -- | 0.54s | 140 tps | ||
| $0.06 | $0.42 | $0.012 | 0.83s | 59 tps | ||
| $0.10 | $0.50 | $0.10 | 0.28s | 168 tps | ||
| $0.10 | $0.50 | $0.10 | 0.27s | 159 tps | ||
| $0.10 | $0.75 | $0.055 | 0.43s | 226 tps | ||
| $0.15 | $0.60 | -- | 0.26s | 313 tps | ||
| $0.15 | $0.60 | -- | 0.63s | 85 tps | ||
| $0.15 | $0.60 | $0.075 | 1.27s | 42 tps | ||
| $0.15 | $0.60 | -- | 0.84s | 181 tps | ||
| $0.15 | $0.60 | -- | 0.25s | 150 tps | ||
| $0.15 | $0.60 | $0.075 | 0.21s | 316 tps | ||
| $0.15 | $0.75 | -- | 1.03s | 211 tps | ||
| $0.35 | $0.75 | $0.35 | 0.23s | 782 tps | ||
| $0.14 | $0.95 | -- | 1.22s | 323 tps | ||
| $0.09 | $0.36 | -- | 0.48s | 55 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.46s | 169 tps | ||
P50, best across providers
P50, best provider
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.