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 | 0.64s | 41 tps | ||
| $0.03 | $0.15 | $0.03 | 2.06s | 11 tps | ||
| $0.03 | $0.17 | $0.03 | 0.71s | 41 tps | ||
| $0.03 | $0.18 | $0.03 | 0.78s | 27 tps | ||
| $0.03 | $0.187 | $0.03 | 7.48s | 44 tps | ||
| $0.037 | $0.17 | -- | 0.63s | 25 tps | ||
| $0.05 | $0.25 | $0.05 | 0.35s | 136 tps | ||
| $0.05 | $0.25 | -- | 0.70s | 40 tps | ||
| $0.06 | $0.42 | $0.012 | 0.39s | 51 tps | ||
| $0.10 | $0.50 | $0.10 | 0.25s | 138 tps | ||
| $0.10 | $0.50 | $0.10 | 0.31s | 127 tps | ||
| $0.10 | $0.75 | $0.055 | 0.49s | 108 tps | ||
| $0.14 | $0.95 | -- | 0.99s | 341 tps | ||
| $0.15 | $0.60 | -- | 0.25s | 264 tps | ||
| $0.15 | $0.60 | -- | 0.43s | 189 tps | ||
| $0.15 | $0.60 | $0.075 | 1.14s | 44 tps | ||
| $0.15 | $0.60 | $0.075 | 0.23s | 257 tps | ||
| $0.15 | $0.75 | -- | 1.18s | 162 tps | ||
| $0.35 | $0.75 | $0.35 | 0.25s | 732 tps | ||
| $0.05 | $0.25 | -- | 1.18s | 45 tps | ||
| $0.09 | $0.36 | -- | 0.26s | 177 tps | ||
| $0.15 | $0.60 | -- | 1.34s | 21 tps | ||
| $0.15 | $0.60 | -- | 0.26s | 153 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.51s | 163 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.