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 | 0.48s | 71 tps | ||
| $0.03 | $0.15 | $0.03 | 1.34s | 46 tps | ||
| $0.03 | $0.17 | $0.03 | 0.24s | 113 tps | ||
| $0.03 | $0.18 | $0.03 | 0.60s | 73 tps | ||
| $0.03 | $0.187 | $0.03 | 0.34s | 110 tps | ||
| $0.037 | $0.17 | -- | 0.31s | 53 tps | ||
| $0.05 | $0.25 | $0.05 | 0.22s | 222 tps | ||
| $0.05 | $0.25 | -- | 0.60s | 72 tps | ||
| $0.05 | $0.25 | -- | 0.68s | 203 tps | ||
| $0.06 | $0.42 | $0.012 | 0.42s | 53 tps | ||
| $0.10 | $0.50 | $0.10 | 0.18s | 129 tps | ||
| $0.10 | $0.50 | $0.10 | 0.18s | 126 tps | ||
| $0.10 | $0.75 | $0.055 | 0.34s | 222 tps | ||
| $0.14 | $0.95 | -- | 0.96s | 371 tps | ||
| $0.15 | $0.60 | -- | 0.26s | 322 tps | ||
| $0.15 | $0.60 | -- | 0.44s | 171 tps | ||
| $0.15 | $0.60 | $0.075 | 1.14s | 61 tps | ||
| $0.15 | $0.60 | -- | 0.87s | 176 tps | ||
| $0.15 | $0.60 | -- | 0.27s | 114 tps | ||
| $0.15 | $0.60 | $0.075 | 0.22s | 345 tps | ||
| $0.15 | $0.75 | -- | 0.96s | 200 tps | ||
| $0.35 | $0.75 | $0.35 | 0.23s | 706 tps | ||
| $0.09 | $0.36 | -- | 2.43s | 22 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.43s | 183 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.