Alibaba Cloud / Qwen Team model product
Qwen3.7-Plus is Alibaba Cloud Qwen Team's multimodal agent model that unifies vision and language into a single agent foundation. Built on the Qwen3.7 text backbone, it operates as a multimodal interactive hybrid agent—perceiving real-world scenes, reading screens and operating GUIs, writing code from visual references, navigating mobile apps end-to-end, and answering search-augmented visual questions—while blending GUI and CLI interactions within a single agent loop. It is a versatile coding agent and productivity assistant with full-modality input, generalizing across scaffolds such as Claude Code, OpenClaw, and Qwen Code. Features a 1 million token context window, up to 65,536 output tokens, always-on thinking, and a preserve_thinking mode for agentic tasks. Available via Alibaba Cloud Model Studio (DashScope).
Updated Aug 10, 2026. Default version: Qwen3.7-Plus
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Qwen3.7-Plus.
| BC-VL | 0.5 | 1 | 1 | 100.0% | C | |
| ClawEval-MM | 0.6 | 1 | 3 | 100.0% | C | |
| CountQA | 0.8 | 1 | 1 | 100.0% | C | |
| DeepPlanning | 0.6 | 1 | 9 | 100.0% | C | |
| HiPhO | 0.8 | 1 | 1 | 100.0% | C | |
| LingoQA | 0.8 | 1 | 4 | 100.0% | C | |
| MedXpertQA-MM | 0.7 | 1 | 1 | 100.0% | C | |
| MLVU | 0.9 | 1 | 10 | 100.0% | C | |
| MMBC | 0.5 | 1 | 1 | 100.0% | C | |
| MMSearch-Plus | 0.4 | 1 | 2 | 100.0% | C | |
| MRCR v2 | 0.9 | 1 | 3 | 100.0% | C | |
| OCRBench_V2 | 0.7 | 1 | 7 | 100.0% | C | |
| QwenClawBench | 0.6 | 1 | 1 | 100.0% | C | |
| QwenWorldBench | 0.6 | 1 | 2 | 100.0% | C | |
| SimpleVQA | 0.8 | 1 | 13 | 100.0% | C | |
| SURDS | 0.8 | 1 | 1 | 100.0% | C | |
| VLADBench | 0.8 | 1 | 1 | 100.0% | C | |
| WorldVQA | 0.6 | 1 | 5 | 100.0% | C | |
| AndroidWorld | 0.8 | 2 | 4 | 66.7% | C | |
| Apex | 0.2 | 2 | 2 | 0.0% | C | |
| IFEval | 0.9 | 2 | 65 | 98.4% | C | |
| MAXIFE | 0.9 | 2 | 11 | 90.0% | C | |
| MMLU-ProX | 0.9 | 2 | 32 | 96.8% | C | |
| ODinW | 0.5 | 2 | 16 | 93.3% | C | |
| OmniDocBench 1.5 | 0.9 | 2 | 16 | 93.3% | C | |
| PolyMATH | 0.8 | 2 | 23 | 95.5% | C | |
| RealWorldQA | 0.9 | 2 | 26 | 96.0% | C | |
| TVBench | 0.8 | 2 | 3 | 50.0% | C | |
| BFCL-V4 | 0.7 | 3 | 13 | 83.3% | C | |
| CoWorkBench | 0.7 | 3 | 3 | 0.0% | C | |
| CritPT | 0.1 | 3 | 4 | 33.3% | C | |
| LiveCodeBench v6 | 0.9 | 3 | 53 | 96.2% | C | |
| MCP-Mark | 0.6 | 3 | 8 | 71.4% | C | |
| MMLU-Pro | 0.9 | 3 | 129 | 98.4% | C | |
| NOVA-63 | 0.6 | 3 | 11 | 80.0% | C | |
| SpreadSheetBench-v1 | 0.9 | 3 | 3 | 0.0% | C | |
| SuperGPQA | 0.7 | 3 | 34 | 93.9% | C | |
| Video-MME | 0.9 | 3 | 17 | 87.5% | C | |
| VisFactor | 0.4 | 3 | 3 | 0.0% | C | |
| VITA-Bench | 0.5 | 3 | 10 | 77.8% | C | |
| BabyVision | 0.7 | 4 | 9 | 62.5% | C | |
| ERQA | 0.7 | 4 | 23 | 86.4% | C | |
| Global PIQA | 0.9 | 4 | 13 | 75.0% | C | |
| HMMT Feb 26 | 0.9 | 4 | 11 | 70.0% | C | |
| LVBench | 0.8 | 4 | 24 | 87.0% | C | |
| MMLU-Redux | 0.9 | 4 | 48 | 93.6% | C | |
| SkillsBench | 0.5 | 4 | 7 | 50.0% | C | |
| WMT24++ | 0.8 | 4 | 23 | 86.4% | C | |
| Include | 0.8 | 5 | 31 | 86.7% | C | |
| MathVision | 0.9 | 5 | 32 | 87.1% | C | |
| ScreenSpot Pro | 0.8 | 5 | 24 | 82.6% | C | |
| VideoMMMU | 0.9 | 5 | 26 | 84.0% | C | |
| IFBench | 0.8 | 6 | 28 | 81.5% | C | |
| SciCode | 0.5 | 6 | 18 | 70.6% | C | |
| Claw-Eval | 0.6 | 8 | 13 | 41.7% | C | |
| IMO-AnswerBench | 0.9 | 8 | 19 | 61.1% | C | |
| Terminal-Bench 2.0 | 0.7 | 8 | 49 | 85.4% | C | |
| NL2Repo | 0.4 | 10 | 14 | 30.8% | C | |
| SWE-bench Multilingual | 0.8 | 10 | 34 | 72.7% | C | |
| CharXiv-R | 0.9 | 11 | 47 | 78.3% | C | |
| OSWorld-Verified | 0.7 | 13 | 22 | 42.9% | C | |
| MMMLU | 0.9 | 14 | 49 | 72.9% | C | |
| FrontierCode 1.1 | 0.1 | 15 | 15 | 0.0% | B | |
| MCP Atlas | 0.7 | 16 | 30 | 48.3% | C | |
| MMMU-Pro | 0.8 | 16 | 65 | 76.6% | C | |
| Finance Agent v2 | 0.4 | 18 | 26 | 32.0% | B | |
| SWE-Bench Pro | 0.6 | 21 | 44 | 53.5% | C | |
| GPQA | 0.9 | 23 | 233 | 90.5% | C | |
| SWE-Bench Verified | 0.8 | 23 | 104 | 78.6% | C | |
| Humanity's Last Exam | 0.3 | 40 | 92 | 57.1% | C |
Preference and agent-evaluation signals from published Arena datasets.
| text | german | 14 | 1483.7 | 521 | N/A | |
| text factuality | spanish | 14 | 1461.3 | 669 | N/A | |
| vision | humor | 14 | 1287.5 | 251 | N/A | |
| vision style control | humor | 18 | 1266.1 | 251 | N/A | |
| text factuality | french | 20 | 1486.1 | 900 | N/A | |
| text factuality | math | 20 | 1467.9 | 997 | N/A | |
| text style control | german | 20 | 1477.3 | 521 | N/A | |
| text factuality | chinese | 21 | 1512.8 | 1,237 | N/A | |
| text factuality | industry mathematical | 22 | 1471.8 | 1,173 | N/A | |
| text factuality | russian | 23 | 1475.6 | 2,545 | N/A | |
| vision style control | chinese | 23 | 1316.6 | 276 | N/A | |
| vision | chinese | 24 | 1337.2 | 276 | N/A | |
| document | overall | 25 | 1439.6 | 3,088 | N/A | |
| text | industry medicine and healthcare | 25 | 1468.7 | 1,954 | N/A | |
| text | russian | 25 | 1466.2 | 2,985 | N/A | |
| document style control | overall | 26 | 1448.5 | 3,088 | N/A | |
| text | spanish | 26 | 1462.2 | 865 | N/A | |
| text factuality | industry medicine and healthcare | 26 | 1490.1 | 1,620 | N/A | |
| text factuality | japanese | 26 | 1412.8 | 295 | N/A | |
| vision | overall | 27 | 1277.7 | 7,200 | N/A | |
| vision | ocr | 27 | 1286.6 | 5,170 | N/A | |
| text | math | 28 | 1471.7 | 1,292 | N/A | |
| text | creative writing | 29 | 1443.9 | 4,908 | N/A | |
| text | non english | 29 | 1449.7 | 15,935 | N/A | |
| text | french | 30 | 1475.6 | 1,129 | N/A | |
| text | industry mathematical | 30 | 1477.3 | 1,464 | N/A | |
| text | polish | 30 | 1455.1 | 567 | N/A | |
| vision | creative writing vision | 30 | 1267.7 | 389 | N/A | |
| text | overall | 31 | 1456.5 | 28,111 | N/A | |
| text | chinese | 31 | 1509.3 | 1,500 | N/A | |
| text | english | 31 | 1459.4 | 12,175 | N/A | |
| text | exclude ties | 31 | 1457.4 | 20,624 | N/A | |
| text | korean | 31 | 1421.4 | 509 | N/A | |
| text factuality | creative writing | 31 | 1444.6 | 4,441 | N/A | |
| vision style control | overall | 31 | 1262.1 | 7,200 | N/A | |
| vision | diagram | 32 | 1281.4 | 1,955 | N/A | |
| vision style control | ocr | 32 | 1277.7 | 5,170 | N/A | |
| text | multi turn | 33 | 1463.8 | 4,735 | N/A | |
| vision | english | 33 | 1269.5 | 2,827 | N/A | |
| text style control | industry mathematical | 34 | 1480.9 | 1,464 | N/A | |
| vision | homework | 34 | 1281.8 | 838 | N/A | |
| vision style control | creative writing vision | 35 | 1247.9 | 389 | N/A | |
| text factuality | expert | 36 | 1487.1 | 2,554 | N/A | |
| text style control | math | 36 | 1471.4 | 1,292 | N/A | |
| vision style control | english | 36 | 1253.3 | 2,827 | N/A | |
| text | industry life and physical and social science | 37 | 1468.1 | 4,487 | N/A | |
| text | industry software and it services | 37 | 1476.1 | 11,526 | N/A | |
| text | longer query | 37 | 1459.9 | 12,484 | N/A | |
| text style control | chinese | 37 | 1505.1 | 1,500 | N/A | |
| vision style control | diagram | 37 | 1279.4 | 1,955 | N/A | |
| text | hard prompts | 38 | 1463.5 | 18,775 | N/A | |
| text | industry writing and literature and language | 38 | 1443.5 | 6,942 | N/A | |
| text factuality | coding | 38 | 1506.2 | 8,244 | N/A | |
| text style control | french | 38 | 1482.7 | 1,129 | N/A | |
| text factuality | industry life and physical and social science | 39 | 1478.3 | 4,090 | N/A | |
| vision style control | homework | 39 | 1275.6 | 838 | N/A | |
| text | hard prompts english | 40 | 1463.1 | 8,359 | N/A | |
| text | industry entertainment and sports and media | 40 | 1425.4 | 6,400 | N/A | |
| text factuality | industry writing and literature and language | 40 | 1444.6 | 6,866 | N/A | |
| text factuality | longer query | 40 | 1470.3 | 12,470 | N/A | |
| text | instruction following | 41 | 1442.8 | 9,675 | N/A | |
| text factuality | exclude ties | 41 | 1457.6 | 20,610 | N/A | |
| text factuality | instruction following | 41 | 1453.5 | 9,657 | N/A | |
| text style control | russian | 41 | 1465.6 | 2,985 | N/A | |
| text | coding | 42 | 1478.4 | 8,269 | N/A | |
| text | expert | 42 | 1471.0 | 2,983 | N/A | |
| text | industry legal and government | 42 | 1458.1 | 2,338 | N/A | |
| text factuality | industry software and it services | 42 | 1491.0 | 11,508 | N/A | |
| text factuality | non english | 42 | 1441.7 | 15,927 | N/A | |
| text factuality | english | 43 | 1463.8 | 12,155 | N/A | |
| text factuality | hard prompts english | 43 | 1485.3 | 8,343 | N/A | |
| text factuality | overall | 44 | 1453.8 | 28,095 | N/A | |
| text factuality | industry entertainment and sports and media | 44 | 1431.0 | 6,266 | N/A | |
| text factuality | multi turn | 44 | 1465.3 | 4,188 | N/A | |
| text style control | expert | 44 | 1487.4 | 2,983 | N/A | |
| text | industry business and management and financial operations | 45 | 1438.0 | 5,728 | N/A | |
| text | japanese | 45 | 1412.0 | 366 | N/A | |
| text style control | korean | 45 | 1417.1 | 509 | N/A | |
| text style control | longer query | 45 | 1470.5 | 12,484 | N/A | |
| text style control | spanish | 45 | 1454.9 | 865 | N/A | |
| text factuality | hard prompts | 46 | 1474.5 | 18,764 | N/A | |
| text style control | non english | 46 | 1448.1 | 15,935 | N/A | |
| text style control | instruction following | 47 | 1450.2 | 9,675 | N/A | |
| text style control | creative writing | 48 | 1436.9 | 4,908 | N/A | |
| text factuality | industry legal and government | 49 | 1462.6 | 1,928 | N/A | |
| text style control | overall | 49 | 1457.8 | 28,111 | N/A | |
| text style control | exclude ties | 49 | 1461.3 | 20,624 | N/A | |
| text style control | industry software and it services | 49 | 1493.1 | 11,526 | N/A | |
| text style control | coding | 50 | 1505.5 | 8,269 | N/A | |
| text style control | industry writing and literature and language | 53 | 1442.5 | 6,942 | N/A | |
| text style control | hard prompts | 54 | 1477.2 | 18,775 | N/A | |
| text style control | industry life and physical and social science | 54 | 1473.8 | 4,487 | N/A | |
| text style control | multi turn | 54 | 1468.1 | 4,735 | N/A | |
| text style control | japanese | 55 | 1418.8 | 366 | N/A | |
| text style control | english | 57 | 1463.9 | 12,175 | N/A | |
| text style control | hard prompts english | 57 | 1479.9 | 8,359 | N/A | |
| text style control | industry medicine and healthcare | 58 | 1473.4 | 1,954 | N/A | |
| text factuality | industry business and management and financial operations | 61 | 1448.7 | 5,374 | N/A | |
| text style control | industry legal and government | 61 | 1460.6 | 2,338 | N/A | |
| text style control | industry entertainment and sports and media | 62 | 1422.3 | 6,400 | N/A |
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| Alibaba Coding Plan (China) | qwen3.7-plus | global | N/A | N/A | 1M | |
| Alibaba Coding Plan | qwen3.7-plus | global | N/A | N/A | 1M | |
| Alibaba Token Plan | qwen3.7-plus | global | N/A | N/A | 1M | |
| Alibaba Token Plan (China) | qwen3.7-plus | global | N/A | N/A | 1M | |
| AIHubMix | qwen3.7-plus | global | $0.282 | $1.13 | 991K | |
| Pioneer | qwen3.7-plus | global | $0.32 | $1.28 | 1M | |
| OpenCode Go | qwen3.7-plus | global | $0.40 | $1.6 | 1M | |
| NanoGPT | qwen3.7-plus | global | $0.40 | $1.6 | 991.8K | |
| LLM Gateway | qwen3.7-plus | global | $0.40 | $1.6 | 1M | |
| Alibaba (China) | qwen3.7-plus | global | $0.50 | $3 | 1M | |
| Charm Hyper | qwen3.7-plus | global | $1.2 | $4.8 | 1M |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Qwen3.7-Plus | 73.1 | N/A | 1M | 64K | No | Proprietary |
A concise description based on the published model registry.
Qwen3.7-Plus is Alibaba Cloud Qwen Team's multimodal agent model that unifies vision and language into a single agent foundation. Built on the Qwen3.7 text backbone, it operates as a multimodal interactive hybrid agent—perceiving real-world scenes, reading screens and operating GUIs, writing code from visual references, navigating mobile apps end-to-end, and answering search-augmented visual questions—while blending GUI and CLI interactions within a single agent loop. It is a versatile coding agent and productivity assistant with full-modality input, generalizing across scaffolds such as Claude Code, OpenClaw, and Qwen Code. Features a 1 million token context window, up to 65,536 output tokens, always-on thinking, and a preserve_thinking mode for agentic tasks. Available via Alibaba Cloud Model Studio (DashScope).
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Qwen3.7 Plus.
Qwen3.7 Plus's default version was released on May 31, 2026.
Qwen3.7 Plus's official API price is $0.50 per million input tokens and $3 per million output tokens via Alibaba (China). The lowest tracked third-party offer starts at $0.282 input and $1.13 output via AIHubMix.
Qwen3.7 Plus is published under Alibaba Cloud / Qwen Team in the model registry.
The default version has a 1M token context window.
No. The default version is not marked as having publicly available weights.
11 published provider offerings are linked to the default version.
Nearby ranked alternatives include Nova 2 Pro, Gemma 4 31B, Claude Sonnet 3.5.