gpt-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...
text->text| Provider | Region / Tag | Context | Input/M | Output/M | Uptime 1d | Latency | Quant | Cache |
|---|---|---|---|---|---|---|---|---|
| Cerebras | cerebras/fp16 | 131K | $0.350 | $0.750 | 99.98% | - | fp16 | - |
| Groq | groq | 131K | $0.150 | $0.600 | 99.97% | - | - | - |
| Parasail | parasail/fp4 | 131K | $0.100 | $0.750 | 99.93% | - | fp4 | - |
| Novita | novita/fp4 | 131K | $0.050 | $0.250 | 99.92% | - | fp4 | - |
| BaseTen | baseten/fp4 | 128K | $0.100 | $0.500 | 99.82% | - | fp4 | - |
| DigitalOcean | digitalocean | 128K | $0.100 | $0.700 | 99.82% | - | - | - |
| WandB | wandb/fp4 | 131K | $0.150 | $0.600 | 99.79% | - | fp4 | - |
| DeepInfra | deepinfra/bf16 | 131K | $0.039 | $0.190 | 99.68% | - | bf16 | - |
google-vertex/global | 131K | $0.090 | $0.360 | 99.40% | - | - | - | |
| Amazon Bedrock | amazon-bedrock | 131K | $0.150 | $0.600 | 99.22% | - | - | - |
| Ambient | ambient | 131K | $0.150 | $0.600 | 99.16% | - | - | - |
| Together | together | 131K | $0.150 | $0.600 | 99.05% | - | - | - |
| DeepInfra | deepinfra/turbo | 131K | $0.150 | $0.600 | 98.81% | - | bf16 | - |
| SiliconFlow | siliconflow/fp8 | 131K | $0.050 | $0.450 | 96.87% | - | fp8 | - |
| Nebius | nebius/fp4 | 131K | $0.150 | $0.600 | 96.25% | - | fp4 | - |
| SambaNova | sambanova | 131K | $0.140 | $0.950 | 95.90% | - | - | - |
| DekaLLM | dekallm/bf16 | 131K | $0.039 | $0.180 | 92.61% | - | bf16 | - |
| Mara | mara | 131K | $0.150 | $0.750 | 90.34% | - | - | - |
| Phala | phala | 131K | $0.150 | $0.600 | 80.21% | - | - | - |
| Amazon Bedrock | amazon-bedrock/eu-west-1 | 131K | $0.150 | $0.600 | - | - | - | - |
| Rank | Category | Variant | Trend | Elo | Votes |
|---|---|---|---|---|---|
| #107 | Japanese | - | 1319 | 502 | |
| #136 | Math | - | 1383 | 1,795 | |
| #136 | Spanish | - | 1365 | 759 | |
| #137 | Industry Mathematical | - | 1385 | 1,550 | |
| #154 | French | - | 1357 | 405 | |
| #154 | German | - | 1326 | 619 | |
| #160 | Chinese | - | 1374 | 1,626 | |
| #161 | Exclude Ties | - | 1314 | 21,778 | |
| #161 | Expert | - | 1361 | 1,316 | |
| #161 | Industry Medicine And Healthcare | - | 1369 | 1,636 | |
| #163 | Industry Business And Management And Financial Operations | - | 1350 | 5,390 | |
| #163 | Overall | - | 1353 | 30,639 | |
| #164 | Korean | - | 1263 | 658 | |
| #164 | Russian | - | 1335 | 1,606 | |
| #165 | Industry Software And It Services | - | 1386 | 10,473 | |
| #166 | Coding | - | 1391 | 6,494 | |
| #168 | Hard Prompts | - | 1362 | 14,759 | |
| #172 | Industry Life And Physical And Social Science | - | 1361 | 4,835 | |
| #176 | English | - | 1361 | 14,697 | |
| #176 | Instruction Following | - | 1326 | 7,814 | |
| #181 | Hard Prompts English | - | 1367 | 7,638 | |
| #183 | Multi Turn | - | 1328 | 5,007 | |
| #184 | Industry Legal And Government | - | 1344 | 1,924 | |
| #189 | Industry Writing And Literature And Language | - | 1310 | 6,667 | |
| #197 | Industry Entertainment And Sports And Media | - | 1287 | 5,508 | |
| #206 | Longer Query | - | 1325 | 6,453 | |
| #215 | Creative Writing | - | 1278 | 3,953 |