Capability
51.6/100
field median 58.8
#122 of 228 ranked models
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Data as of August 29, 2026 · How the score is built
Multimodal & Grounded ranks #26. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
41 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
51.6/100
field median 58.8
#122 of 228 ranked models
Price
Not listed
input median $1
No comparable first-party hosted token rate
Speed
124tok/s
field median 86 tok/s
First token 45.65 s
Context
262Ktokens
field median 256,000
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.
Qwen3.6-35B-A3B 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.
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersScores 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 #88 of 140Percentile 37thWeight 22%11 benchmarksVerified | 45.2 | #88 of 140 | 37th | 22% | 11 benchmarks | Verified |
| CodingRank #76 of 146Percentile 48thWeight 20%6 benchmarksVerified | 50.5 | #76 of 146 | 48th | 20% | 6 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #59 of 61Percentile 3rdWeight 12%5 benchmarksVerified | 42.8 | #59 of 61 | 3rd | 12% | 5 benchmarks | Verified |
| MathRank Not rankedWeight 5%5 benchmarksVerified | 71.6 | Not ranked | Not available | 5% | 5 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #26 of 35Percentile 26thWeight 12%14 benchmarksVerified | 42.4 | #26 of 35 | 26th | 12% | 14 benchmarks | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
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 | Score80.4% | Versus best verified row Best verified: Qwen3.7 Max · 91.6% | Gap11.2 behind | WeightWeighted 38% | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score73.4% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap22.6 behind | WeightWeighted 16% | Provider exact |
| SWE-bench Pro | Score49.5% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap30.8 behind | WeightWeighted 10% | Provider exact |
| SWE Multilingual | Score67.2% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap22.3 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.0 | Score51.5% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap40.4 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score29.4% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 61.5% | Gap32.1 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score51.5% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap40.4 behind | WeightWeighted 38% | Provider exact |
| Claw-Eval | Score68.7% | Versus best verified row Best verified: Ornith-1.5-397B · 81.4% | Gap12.7 behind | WeightDisplay only | Provider exact |
| QwenClawBench | Score52.6% | Versus best verified row Best verified: Qwen3.7 Max · 64.3% | Gap11.7 behind | WeightDisplay only | Provider exact |
| QwenWebBench | Score1397 | Versus best verified row Best verified: Qwen3.7 Max · 1568 | Gap171 behind | WeightDisplay only | Provider exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score67.2% | Versus best verified row Best verified: Mistral Medium 3.5 128B · 91.4% | Gap24.2 behind | WeightDisplay only | Provider exact |
| VITA-Bench | Score35.6% | Versus best verified row Best verified: Qwen3.7 Max · 47.9% | Gap12.3 behind | WeightDisplay only | Provider exact |
| DeepPlanning | Score25.9% | Versus best verified row Best verified: Qwen3.7 Plus · 62.3% | Gap36.4 behind | WeightDisplay only | Provider exact |
| Toolathlon | Score26.9% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | Gap48.7 behind | WeightDisplay only | Provider exact |
| MCP Atlas | Score62.8% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | Gap25.3 behind | WeightDisplay only | Provider exact |
| WideResearch | Score60.1% | Versus best verified row Best verified: Hy4 preview · 83.9% | Gap23.8 behind | WeightDisplay only | Provider exact |
| Gert LabsGert Labs Composite Game Benchmark | Score42.65% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap30.3 behind | WeightDisplay only | Benchmark exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score21.4% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap43.3 behind | WeightWeighted 45% | Provider exact |
| MMLU-ProMassive Multitask Language Understanding Professional | Score85.2% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap4.4 behind | WeightWeighted 30% | Provider exact |
| SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines | Score64.7% | Versus best verified row Best verified: Qwen 3.6 Max (preview) · 73.9% | Gap9.2 behind | WeightWeighted 7% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score86% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap9.5 behind | WeightWeighted 7% | Provider exact |
| C-Eval | Score90% | Versus best verified row Best verified: Qwen3.6 Plus · 93.3% | Gap3.3 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026 | Score83.6% | Versus best verified row Best verified: Qwen3.7 Max · 97.1% | Gap13.5 behind | WeightWeighted 25% | Provider exact |
| AIME26AIME 2026 | Score92.7% | Versus best verified row Best verified: GLM-5.2 · 99.2% | Gap6.5 behind | WeightWeighted 25% | Provider exact |
| HMMT Feb 2025Harvard-MIT Mathematics Tournament February 2025 | Score90.7% | Versus best verified row Best verified: Qwen3.6 Plus · 96.7% | Gap6 behind | WeightDisplay only | Provider exact |
| HMMT Nov 2025Harvard-MIT Mathematics Tournament November 2025 | Score89.1% | Versus best verified row Best verified: Qwen3.6 Plus · 94.6% | Gap5.5 behind | WeightDisplay only | Provider exact |
| MMAnswerBench | Score78.9% | Versus best verified row Best verified: GLM-5.2 · 91.0% | Gap12.1 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score75.3% | Versus best verified row Best verified: GPT-5.4 Pro · 94% | Gap18.7 behind | WeightWeighted 45% | Provider exact |
| CharXivCharXiv Reasoning | Score78% | Versus best verified row Best verified: Claude Mythos 5 · 93.5% | Gap15.5 behind | WeightWeighted 25% | Provider exact |
| MMMUMassive Multi-discipline Multimodal Understanding | Score81.7% | Versus best verified row Best verified: Qwen3.6-27B · 82.9% | Gap1.2 behind | WeightDisplay only | Provider exact |
| RealWorldQA | Score85.3% | Versus best verified row Best verified: Qwen3.8-Flash-Next · 88.5% | Gap3.2 behind | WeightDisplay only | Provider exact |
| OmniDocBench 1.5 | Score89.9% | Versus best verified row Best verified: Qwen3.8 Max · 92.1% | Gap2.2 behind | WeightDisplay only | Provider exact |
| SimpleVQA | Score58.9% | Versus best verified row Best verified: Qwen3.7 Plus · 81.7% | Gap22.8 behind | WeightDisplay only | Provider exact |
| CC-OCR | Score81.9% | Versus best verified row Best verified: Qwen3.6-35B-A3B · 81.9% | GapBest verified | WeightDisplay only | Provider exact |
| AI2D_TESTAI2D test split | Score92.7% | Versus best verified row Best verified: Qwen3.6-35B-A3B · 92.7% | GapBest verified | WeightDisplay only | Provider exact |
| RefCOCO (avg)RefCOCO average | Score92.0% | Versus best verified row Best verified: Qwen3.6-27B · 92.5% | Gap0.5 behind | WeightDisplay only | Provider exact |
| ODINW13 | Score50.8% | Versus best verified row Best verified: Qwen3.7 Plus · 51.1% | Gap0.3 behind | WeightDisplay only | Provider exact |
| Video-MME (with subtitle)Video-MME with subtitle | Score86.6% | Versus best verified row Best verified: Qwen3.8 Max · 90.4% | Gap3.8 behind | WeightDisplay only | Provider exact |
| Video-MME (w/o subtitle)Video-MME without subtitle | Score82.5% | Versus best verified row Best verified: Qwen3.6-35B-A3B · 82.5% | GapBest verified | WeightDisplay only | Provider exact |
| VideoMMMU | Score83.7% | Versus best verified row Best verified: Qwen3.8 Max · 88.7% | Gap5 behind | WeightDisplay only | Provider exact |
| MLVU (M-Avg)MLVU mean average | Score86.2% | Versus best verified row Best verified: Qwen3.8 Max · 90.8% | Gap4.6 behind | WeightDisplay only | 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 15, 2026 · you are here
Qwen3.6-35B-A3BScore 51.5 · 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.
Qwen3.6-35B-A3B ranks #122 of 228 on the public leaderboard with a score of 51.55/100. It does not yet have enough sourced coverage for a verified position.
Qwen3.6-35B-A3B is a open weight model with a 262K 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 the Qwen/Qwen3.6-35B-A3B Hugging Face model card. The public repository was created on April 15, 2026, and the model card states a native 262,144-token context window extensible to 1,010,000 tokens.
41 of 408 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multimodal & Grounded at #26, while its lowest eligible position is Agentic at #88. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Alibaba · Model release
Radar confirmed these at the source. Start the free Radar Brief
Qwen3.6-35B-A3B ranks #122 out of 228 models on the public BenchAlign leaderboard, with a score of 51.55/100. Its evidence status is Estimated, and this profile shows 41 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Qwen3.6-35B-A3B ranks #59 out of 61 eligible models for knowledge and understanding, with a public category score of 42.8/100. 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.
Qwen3.6-35B-A3B ranks #76 out of 146 eligible models for coding and programming, with a public category score of 50.5/100. 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.
Qwen3.6-35B-A3B 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.
Qwen3.6-35B-A3B ranks #88 out of 140 eligible models for agentic tool use and computer tasks, with a public category score of 45.2/100. 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.
Qwen3.6-35B-A3B ranks #26 out of 35 eligible models for multimodal and grounded tasks, with a public category score of 42.4/100. 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.
Qwen3.6-35B-A3B is an open-weight model from Alibaba. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
No. Qwen3.6-35B-A3B currently has 57 source-displayable rows across 408 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.
Qwen3.6-35B-A3B has a reported context window of 262K 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 29, 2026. Runtime fields remain blank until a sourced snapshot exists.
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