Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
text->text| Provider | Region / Tag | Context | Input/M | Output/M | Uptime 1d | Latency | Quant | Cache |
|---|---|---|---|---|---|---|---|---|
| WandB | wandb/bf16 | 262K | $0.100 | $0.300 | 99.99% | - | bf16 | - |
| AtlasCloud | atlas-cloud/fp8 | 131K | $0.100 | $0.300 | 99.89% | - | fp8 | - |
| StreamLake | streamlake | 128K | $0.043 | $0.172 | 99.75% | - | - | - |
| Alibaba | alibaba | 131K | $0.130 | $0.520 | 99.60% | - | - | - |
| Nebius | nebius/fp8 | 262K | $0.100 | $0.300 | 96.89% | - | fp8 | - |
| SiliconFlow | siliconflow/fp8 | 262K | $0.090 | $0.300 | 86.39% | - | fp8 | - |
| Rank | Category | Variant | Trend | Elo | Votes |
|---|---|---|---|---|---|
| #102 | Chinese | - | 1438 | 1,329 | |
| #103 | Japanese | - | 1325 | 704 | |
| #104 | French | - | 1420 | 308 | |
| #108 | Spanish | - | 1387 | 633 | |
| #116 | Coding | - | 1440 | 4,660 | |
| #116 | Industry Business And Management And Financial Operations | - | 1397 | 4,177 | |
| #116 | Industry Software And It Services | - | 1430 | 8,199 | |
| #120 | Industry Mathematical | - | 1400 | 1,211 | |
| #129 | German | - | 1358 | 486 | |
| #129 | Hard Prompts | - | 1408 | 11,072 | |
| #131 | Hard Prompts English | - | 1416 | 5,625 | |
| #133 | Exclude Ties | - | 1359 | 16,706 | |
| #133 | Korean | - | 1314 | 566 | |
| #134 | Industry Medicine And Healthcare | - | 1399 | 1,347 | |
| #134 | Overall | - | 1384 | 23,746 | |
| #135 | Multi Turn | - | 1383 | 4,073 | |
| #136 | Expert | - | 1393 | 1,145 | |
| #137 | English | - | 1393 | 11,056 | |
| #137 | Longer Query | - | 1382 | 4,882 | |
| #137 | Russian | - | 1366 | 1,227 | |
| #138 | Math | - | 1381 | 1,427 | |
| #139 | Industry Life And Physical And Social Science | - | 1394 | 3,683 | |
| #139 | Instruction Following | - | 1367 | 5,966 | |
| #141 | Industry Legal And Government | - | 1382 | 1,493 | |
| #146 | Industry Entertainment And Sports And Media | - | 1333 | 4,145 | |
| #153 | Industry Writing And Literature And Language | - | 1344 | 5,100 | |
| #163 | Creative Writing | - | 1322 | 2,984 |