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 | 0.53s | 76 tps | ||
| $0.03 | $0.15 | $0.03 | 1.42s | 48 tps | ||
| $0.03 | $0.17 | $0.03 | 0.29s | 72 tps | ||
| $0.03 | $0.18 | $0.03 | 0.57s | 62 tps | ||
| $0.03 | $0.187 | $0.03 | 0.39s | 133 tps | ||
| $0.037 | $0.17 | -- | 0.27s | 52 tps | ||
| $0.05 | $0.25 | $0.05 | 0.25s | 257 tps | ||
| $0.05 | $0.25 | -- | 0.51s | 101 tps | ||
| $0.05 | $0.25 | -- | 0.66s | 216 tps | ||
| $0.06 | $0.42 | $0.012 | 0.45s | 62 tps | ||
| $0.09 | $0.36 | -- | 14.06s | 15 tps | ||
| $0.10 | $0.50 | $0.10 | 0.18s | 231 tps | ||
| $0.10 | $0.50 | $0.10 | 0.25s | 200 tps | ||
| $0.10 | $0.75 | $0.055 | 0.39s | 225 tps | ||
| $0.14 | $0.95 | -- | 1.21s | 382 tps | ||
| $0.15 | $0.60 | -- | 0.31s | 349 tps | ||
| $0.15 | $0.60 | -- | 0.48s | 198 tps | ||
| $0.15 | $0.60 | $0.075 | 1.22s | 55 tps | ||
| $0.15 | $0.60 | -- | 0.85s | 185 tps | ||
| $0.15 | $0.60 | -- | 0.27s | 158 tps | ||
| $0.15 | $0.60 | $0.075 | 0.15s | 360 tps | ||
| $0.15 | $0.75 | -- | 1.02s | 183 tps | ||
| $0.35 | $0.75 | $0.35 | 0.19s | 941 tps | ||
Not used in Standard routing:Why these endpoints are not used | ||||||
| $0.15 | $0.60 | -- | 0.63s | 118 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.