Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...
text+image->text| Provider | Region / Tag | Context | Input/M | Output/M | Uptime 1d | Latency | Quant | Cache |
|---|---|---|---|---|---|---|---|---|
| Alibaba | alibaba | 131K | $0.260 | $1.04 | 99.96% | - | - | - |
| Novita | novita/bf16 | 131K | $0.300 | $1.50 | 96.57% | - | bf16 | - |
| Parasail | parasail/fp8 | 131K | $0.210 | $1.90 | 96.45% | - | fp8 | - |
| DeepInfra | deepinfra/fp8 | 262K | $0.200 | $0.880 | 88.88% | - | fp8 | - |
| Venice | venice/fp8 | 128K | $0.210 | $1.90 | 87.52% | - | fp8 | - |
| Rank | Category | Variant | Trend | Elo | Votes |
|---|---|---|---|---|---|
| #65 | French | - | 1455 | 234 | |
| #66 | Korean | - | 1382 | 308 | |
| #68 | Industry Business And Management And Financial Operations | - | 1439 | 2,230 | |
| #77 | Industry Legal And Government | - | 1438 | 753 | |
| #79 | Expert | - | 1448 | 565 | |
| #83 | Japanese | - | 1369 | 151 | |
| #85 | Hard Prompts English | - | 1452 | 2,951 | |
| #86 | German | - | 1410 | 259 | |
| #86 | Industry Life And Physical And Social Science | - | 1440 | 1,751 | |
| #87 | Multi Turn | - | 1426 | 2,013 | |
| #88 | Industry Software And It Services | - | 1455 | 4,098 | |
| #89 | Coding | - | 1466 | 2,317 | |
| #89 | Instruction Following | - | 1414 | 2,921 | |
| #91 | Hard Prompts | - | 1440 | 5,714 | |
| #92 | Chinese | - | 1455 | 492 | |
| #92 | Polish | - | 1402 | 518 | |
| #97 | Longer Query | - | 1425 | 2,201 | |
| #99 | Industry Medicine And Healthcare | - | 1436 | 628 | |
| #100 | English | - | 1427 | 5,644 | |
| #101 | Exclude Ties | - | 1402 | 8,123 | |
| #101 | Spanish | - | 1401 | 406 | |
| #103 | Overall | - | 1415 | 11,501 | |
| #104 | Math | - | 1411 | 702 | |
| #105 | Non English | - | 1397 | 5,857 | |
| #108 | Russian | - | 1401 | 715 | |
| #109 | Industry Writing And Literature And Language | - | 1388 | 2,359 | |
| #117 | Industry Mathematical | - | 1411 | 587 | |
| #126 | Industry Entertainment And Sports And Media | - | 1361 | 1,907 | |
| #127 | Creative Writing | - | 1362 | 1,379 |
| Rank | Category | Variant | Trend | Elo | Votes |
|---|---|---|---|---|---|
| #12 | Captioning | - | 1207 | 149 | |
| #26 | Entity Recognition | - | 1187 | 148 | |
| #42 | Homework | - | 1260 | 1,609 | |
| #44 | Creative Writing Vision | - | 1230 | 819 | |
| #48 | Chinese | - | 1245 | 720 | |
| #50 | English | - | 1218 | 5,128 | |
| #51 | Ocr | - | 1230 | 7,592 | |
| #52 | Diagram | - | 1239 | 2,683 | |
| #52 | Overall | - | 1215 | 12,194 | |
| #54 | Creative Writing | - | 1199 | 819 | |
| #57 | Humor | - | 1159 | 454 |