Capability
65.7/100
field median 58
#32 of 224 ranked models
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start free briefReleased Jun 3, 2026 — see all recent releases
Data as of August 22, 2026 · How the score is built
Multilingual ranks #3. A well-rounded choice across a range of tasks.
51 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
65.7/100
field median 58
#32 of 224 ranked models
Price
Not listed
input median $1
No comparable first-party hosted token rate
Speed
55tok/s
field median 91.5 tok/s
First token 38.35 s
Context
1Mtokens
field median 200,000
Reported for this model; direct source link not stored
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Qwen3.7 Plus category percentile values
The dashed outline is median of 6 nearest peers.
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #111 of 137Percentile 19thWeight 22%10 benchmarksVerified | 38.7 | #111 of 137 | 19th | 22% | 10 benchmarks | Verified |
| CodingRank #37 of 141Percentile 74thWeight 20%7 benchmarksVerified | 58.1 | #37 of 141 | 74th | 20% | 7 benchmarks | Verified |
| ReasoningRank Not rankedWeight 17%2 benchmarksVerified | 87.5 | Not ranked | Not available | 17% | 2 benchmarks | Verified |
| KnowledgeRank #39 of 60Percentile 36thWeight 12%7 benchmarksVerified | 63.6 | #39 of 60 | 36th | 12% | 7 benchmarks | Verified |
| MathRank Not rankedWeight 5%3 benchmarksVerified | 79.5 | Not ranked | Not available | 5% | 3 benchmarks | Verified |
| MultilingualRank #3 of 13Percentile 83rdWeight 7%5 benchmarksVerified | 78.9 | #3 of 13 | 83rd | 7% | 5 benchmarks | Verified |
| MultimodalRank #13 of 34Percentile 64thWeight 12%15 benchmarksVerified | 70.9 | #13 of 34 | 64th | 12% | 15 benchmarks | Verified |
| Inst. FollowingRank #9 of 41Percentile 80thWeight 5%2 benchmarksVerified | 93.0 | #9 of 41 | 80th | 5% | 2 benchmarks | Verified |
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LiveCodeBenchLiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code | Score89.6% | Versus best verified row Best verified: Qwen3.7 Max · 91.6% | Gap2 behind | WeightWeighted 38% | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score77.7% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap18.3 behind | WeightWeighted 16% | Provider exact |
| SciCodeScientific Code Benchmark | Score51.3% | Versus best verified row Best verified: Sakana Fugu · 60.1% | Gap8.8 behind | WeightWeighted 16% | Provider exact |
| SWE-bench Pro | Score57.6% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap22.7 behind | WeightWeighted 10% | Provider exact |
| Terminal-Bench 2.0 | Score70.3% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap21.6 behind | WeightDisplay only | Provider exact |
| SWE Multilingual | Score75.8% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap13.7 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score41.1% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 61.5% | Gap20.4 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score70.3% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap21.6 behind | WeightWeighted 38% | Provider exact |
| OSWorld-Verified | Score73.3% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap12.8 behind | WeightWeighted 34% | Provider exact |
| QwenClawBench | Score61.8% | Versus best verified row Best verified: Qwen3.7 Max · 64.3% | Gap2.5 behind | WeightDisplay only | Provider exact |
| Claw-Eval | Score62.7% | Versus best verified row Best verified: Ornith-1.5-397B · 81.4% | Gap18.7 behind | WeightDisplay only | Provider exact |
| BFCL v4Berkeley Function Calling Leaderboard v4 | Score72.9% | Versus best verified row Best verified: Qwen3.7 Max · 75.0% | Gap2.1 behind | WeightDisplay only | Provider exact |
| MCP Atlas | Score73.2% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | Gap14.9 behind | WeightDisplay only | Provider exact |
| VITA-Bench | Score45.6% | Versus best verified row Best verified: Qwen3.7 Max · 47.9% | Gap2.3 behind | WeightDisplay only | Provider exact |
| DeepPlanning | Score62.3% | Versus best verified row Best verified: Qwen3.7 Plus · 62.3% | GapBest verified | WeightDisplay only | Provider exact |
| AndroidWorld | Score81.0% | Versus best verified row Best verified: Qwen3.8 Max · 85.3% | Gap4.3 behind | WeightDisplay only | Provider exact |
| OSWorld 2.0 | Score2.8% | Versus best verified row Best verified: Claude Opus 5 · 70.6% | Gap67.8 behind | WeightDisplay only | Benchmark exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MRCRv2 | Score91.7% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.6% | Gap1.9 behind | WeightWeighted 31% | Provider exact |
| CritPtCritical Physics Tasks | Score9.1% | Versus best verified row Best verified: GLM-5.2 · 20.9% | Gap11.8 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score34.7% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap30 behind | WeightWeighted 45% | Provider exact |
| MMLU-ProMassive Multitask Language Understanding Professional | Score88.5% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap1.1 behind | WeightWeighted 30% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score90.3% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap5.2 behind | WeightWeighted 7% | Provider exact |
| SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines | Score71.4% | Versus best verified row Best verified: Qwen 3.6 Max (preview) · 73.9% | Gap2.5 behind | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score90.3% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap5.2 behind | WeightDisplay only | Provider exact |
| MMLU-Redux | Score94.5% | Versus best verified row Best verified: Qwen3.7 Max · 95% | Gap0.5 behind | WeightDisplay only | Provider exact |
| MMMLU | Score89.0% | Versus best verified row Best verified: Interfaze Beta · 90.9% | Gap1.9 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026 | Score92.9% | Versus best verified row Best verified: Qwen3.7 Max · 97.1% | Gap4.2 behind | WeightWeighted 25% | Provider exact |
| IMOAnswerBench | Score86.0% | Versus best verified row Best verified: dots3-note Preview · 90.9% | Gap4.9 behind | WeightDisplay only | Provider exact |
| Apex | Score22.7% | Versus best verified row Best verified: Qwen3.7 Max · 44.5% | Gap21.8 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProX | Score85.4% | Versus best verified row Best verified: Qwen3.7 Max · 87% | Gap1.6 behind | WeightWeighted 100% | Provider exact |
| NOVA-63 | Score58.8% | Versus best verified row Best verified: Qwen3.5 397B · 59.1% | Gap0.3 behind | WeightDisplay only | Provider exact |
| INCLUDE | Score83.0% | Versus best verified row Best verified: Claude Opus 5 · 89.8% | Gap6.8 behind | WeightDisplay only | Provider exact |
| MAXIFE | Score88.8% | Versus best verified row Best verified: Qwen3.7 Max · 89.2% | Gap0.4 behind | WeightDisplay only | Provider exact |
| PolyMath | Score84.0% | Versus best verified row Best verified: Qwen3.7 Max · 86.5% | Gap2.5 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score79% | Versus best verified row Best verified: GPT-5.4 Pro · 94% | Gap15 behind | WeightWeighted 45% | Provider exact |
| CharXivCharXiv Reasoning | Score85.9% | Versus best verified row Best verified: Claude Mythos 5 · 93.5% | Gap7.6 behind | WeightWeighted 25% | Provider exact |
| MathVision | Score90.3% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | Gap4.9 behind | WeightDisplay only | Provider exact |
| ERQA | Score69.8% | Versus best verified row Best verified: Qwen3.8 Max · 77.8% | Gap8 behind | WeightDisplay only | Provider exact |
| MedXpertQA (MM)MedXpertQA Multimodal | Score71.0% | Versus best verified row Best verified: Qwen3.8 Max · 80.4% | Gap9.4 behind | WeightDisplay only | Provider exact |
| ScreenSpot Pro | Score79.0% | Versus best verified row Best verified: Claude Opus 4.8 · 87.9% | Gap8.9 behind | WeightDisplay only | Provider exact |
| SimpleVQA | Score81.7% | Versus best verified row Best verified: Qwen3.7 Plus · 81.7% | GapBest verified | WeightDisplay only | Provider exact |
| MMSearch-Plus | Score41.4% | Versus best verified row Best verified: Qwen3.7 Plus · 41.4% | GapBest verified | WeightDisplay only | Provider exact |
| RealWorldQA | Score86.9% | Versus best verified row Best verified: Qwen3.8 Max · 88.0% | Gap1.1 behind | WeightDisplay only | Provider exact |
| OmniDocBench 1.5 | Score91.4% | Versus best verified row Best verified: Qwen3.8 Max · 92.1% | Gap0.7 behind | WeightDisplay only | Provider exact |
| OCRBench V2 | Score70.7% | Versus best verified row Best verified: Qwen3.8 Max · 74.2% | Gap3.5 behind | WeightDisplay only | Provider exact |
| ODINW13 | Score51.1% | Versus best verified row Best verified: Qwen3.7 Plus · 51.1% | GapBest verified | WeightDisplay only | Provider exact |
| Video-MME (with subtitle)Video-MME with subtitle | Score88.0% | Versus best verified row Best verified: Qwen3.8 Max · 90.4% | Gap2.4 behind | WeightDisplay only | Provider exact |
| VideoMMMU | Score85.4% | Versus best verified row Best verified: Qwen3.8 Max · 88.7% | Gap3.3 behind | WeightDisplay only | Provider exact |
| MLVU (M-Avg)MLVU mean average | Score87.4% | Versus best verified row Best verified: Qwen3.8 Max · 90.8% | Gap3.4 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score79.1% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap5.9 behind | WeightWeighted 65% | Provider exact |
| IFEvalInstruction-Following Eval | Score94.6% | Versus best verified row Best verified: Qwen3.5-27B · 95% | Gap0.4 behind | WeightWeighted 35% | Provider exact |
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Apr 2, 2026
Qwen3.6 PlusScore 64.6 · Price not listed
Jun 3, 2026 · you are here
Qwen3.7 PlusScore 65.7 · Price not listed
Base entry
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Qwen3.7 Plus ranks #32 of 224 on the public leaderboard with a score of 65.67/100. Its source-verified position is #26 of 104.
Qwen3.7 Plus is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official exact-value snapshot from Alibaba Cloud's June 3, 2026 Qwen3.7-Plus launch article and Model Studio API examples. BenchLM maps directly comparable table rows and leaves provider-specific rows such as CoWorkBench, SkillsBench, MCP-Mark, SpreadsheetBench-v1, KernelBench L3, QwenWorldBench, QwenVision2Code, QwenSVG, WorldVQA, BabyVision, BC-VL, MMBC, LingoQA, Ego3D-Bench, SURDS, VLADBench, TVBench, LVBench, and CountQA outside the current schema.
Its explicit predecessor is Qwen3.6 Plus. 51 of 402 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multilingual at #3, while its lowest eligible position is Agentic at #111. a well-rounded choice across a range of tasks.
Alibaba · Model release
Qwen3.7 Plus ranks #32 out of 224 models on the public BenchAlign leaderboard, with a score of 65.67/100. Its evidence status is Supported, and this profile shows 51 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Qwen3.7 Plus ranks #39 out of 60 eligible models for knowledge and understanding, with a public category score of 63.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.7 Plus ranks #37 out of 141 eligible models for coding and programming, with a public category score of 58.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.7 Plus has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Qwen3.7 Plus has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Qwen3.7 Plus ranks #111 out of 137 eligible models for agentic tool use and computer tasks, with a public category score of 38.7/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.7 Plus ranks #13 out of 34 eligible models for multimodal and grounded tasks, with a public category score of 70.9/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.7 Plus ranks #9 out of 41 eligible models for instruction following, with a public category score of 93/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.7 Plus ranks #3 out of 13 eligible models for multilingual tasks, with a public category score of 78.9/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
No. Qwen3.7 Plus currently has 69 source-displayable rows across 402 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
Qwen3.7 Plus has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Related resources
Last updated August 22, 2026. Runtime fields remain blank until a sourced snapshot exists.
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