Capability
79/100
field median 58
#6 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 Aug 3, 2026 — see all recent releases
Data as of August 22, 2026 · How the score is built
Reasoning ranks #1. Particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.
52 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
79/100
field median 58
#6 of 224 ranked models
Price
API rate not published
input median $1
No comparable first-party hosted token rate
Speed
45tok/s
field median 91.5 tok/s
First token 47.16 s
Context
1Mtokens
field median 200,000
Maximum output length is tracked separately
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.
Qwen3.8 Max 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 #5 of 137Percentile 97thWeight 22%14 benchmarksVerified | 72.9 | #5 of 137 | 97th | 22% | 14 benchmarks | Verified |
| CodingRank #13 of 141Percentile 91stWeight 20%7 benchmarksVerified | 65.7 | #13 of 141 | 91st | 20% | 7 benchmarks | Verified |
| ReasoningRank #1 of 2Percentile 100thWeight 17%2 benchmarksVerified | 94.3 | #1 of 2 | 100th | 17% | 2 benchmarks | Verified |
| KnowledgeRank #33 of 60Percentile 46thWeight 12%4 benchmarksVerified | 67.2 | #33 of 60 | 46th | 12% | 4 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #2 of 34Percentile 97thWeight 12%24 benchmarksVerified | 88.1 | #2 of 34 | 97th | 12% | 24 benchmarks | Verified |
| Inst. FollowingRank #1 of 41Percentile 100thWeight 5%1 benchmarkVerified | 97.8 | #1 of 41 | 100th | 5% | 1 benchmark | 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 |
|---|---|---|---|---|---|
| SWE-bench Pro | Score67.7% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap12.6 behind | WeightWeighted 10% | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score86.6% | Versus best verified row Best verified: GLM-5.3 · 88.2% | Gap1.6 behind | WeightDisplay only | Provider exact |
| deepSwe | Score56.6% | Versus best verified row Best verified: GPT-5.6 Sol · 72.7% | Gap16.1 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score55.9% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 61.5% | Gap5.6 behind | WeightDisplay only | Provider exact |
| FrontierSWE | Score73.5% | Versus best verified row Best verified: Kimi K3 · 81.2% | Gap7.7 behind | WeightDisplay only | Provider exact |
| MLS-Bench Lite | Score41.0% | Versus best verified row Best verified: Kimi K3 · 48.3% | Gap7.3 behind | WeightDisplay only | Provider exact |
| PaperBench | Score93.0% | Versus best verified row Best verified: Qwen3.8 Max · 93.0% | GapBest verified | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OSWorld-Verified | Score86.1% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | GapBest verified | WeightWeighted 34% | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score86.6% | Versus best verified row Best verified: GLM-5.3 · 88.2% | Gap1.6 behind | WeightDisplay only | Provider exact |
| CoWorkBench | Score74.8% | Versus best verified row Best verified: Qwen3.8 Max · 74.8% | GapBest verified | WeightDisplay only | Provider exact |
| JobBench | Score53.4% | Versus best verified row Best verified: Muse Spark 1.1 · 54.7% | Gap1.3 behind | WeightDisplay only | Provider exact |
| skillsBench | Score70.2% | Versus best verified row Best verified: Qwen3.8 Max · 70.2% | GapBest verified | WeightDisplay only | Provider exact |
| Agents' Last Exam | Score52.4% | Versus best verified row Best verified: Qwen3.8 Max · 52.4% | GapBest verified | WeightDisplay only | Provider exact |
| AutomationBench | Score27.3% | Versus best verified row Best verified: GLM-5.3 · 48.2% | Gap20.9 behind | WeightDisplay only | Provider exact |
| Toolathlon-Verified | Score72.5% | Versus best verified row Best verified: Claude Opus 5 · 80.6% | Gap8.1 behind | WeightDisplay only | Provider exact |
| WideResearch | Score81.9% | Versus best verified row Best verified: Qwen3.8 Max · 81.9% | GapBest verified | WeightDisplay only | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score56.2% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap8.5 behind | WeightDisplay only | Provider exact |
| OSWorld 2.0 | Score19.4% | Versus best verified row Best verified: Claude Opus 5 · 70.6% | Gap51.2 behind | WeightDisplay only | Provider exact |
| WebArena-VerifiedWebArena-Verified Browser Agent Benchmark | Score66.8% | Versus best verified row Best verified: Muse Spark 1.1 · 69% | Gap2.2 behind | WeightDisplay only | Provider exact |
| AndroidWorld | Score85.3% | Versus best verified row Best verified: Qwen3.8 Max · 85.3% | GapBest verified | WeightDisplay only | Provider exact |
| MobileWorld | Score77.8% | Versus best verified row Best verified: Qwen3.8 Max · 77.8% | GapBest verified | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LongBench v2 | Score66.3% | Versus best verified row Best verified: Qwen3.8 Max · 66.3% | GapBest verified | WeightWeighted 38% | Provider exact |
| MRCRv2 | Score92.9% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.6% | Gap0.7 behind | WeightWeighted 31% | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score43.6% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap21.1 behind | WeightWeighted 45% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score92.6% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap2.9 behind | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score92.6% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap2.9 behind | WeightDisplay only | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score43.6% | Versus best verified row Best verified: Claude Mythos 5 · 59% | Gap15.4 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score82.3% | Versus best verified row Best verified: GPT-5.4 Pro · 94% | Gap11.7 behind | WeightWeighted 45% | Provider exact |
| CharXivCharXiv Reasoning | Score93.5% | Versus best verified row Best verified: Claude Mythos 5 · 93.5% | GapBest verified | WeightWeighted 25% | Provider exact |
| MathVision | Score95.2% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | GapBest verified | WeightDisplay only | Provider exact |
| MathVision w/ PythonMathVision with Python | Score97.7% | Versus best verified row Best verified: Kimi K3 · 97.8% | Gap0.1 behind | WeightDisplay only | Provider exact |
| BabyVision | Score82.0% | Versus best verified row Best verified: Qwen3.8 Max · 82.0% | GapBest verified | WeightDisplay only | Provider exact |
| BabyVision w/ PythonBabyVision with Python | Score91.3% | Versus best verified row Best verified: Qwen3.8 Max · 91.3% | GapBest verified | WeightDisplay only | Provider exact |
| ZeroBench | Score24.0% | Versus best verified row Best verified: Muse Spark · 33.0% | Gap9 behind | WeightDisplay only | Provider exact |
| ZeroBench w/ PythonZeroBench_main with Python | Score49.0% | Versus best verified row Best verified: Qwen3.8 Max · 49.0% | GapBest verified | WeightDisplay only | Provider exact |
| MedXpertQA (MM)MedXpertQA Multimodal | Score80.4% | Versus best verified row Best verified: Qwen3.8 Max · 80.4% | GapBest verified | WeightDisplay only | Provider exact |
| ScreenSpot Pro | Score84.5% | Versus best verified row Best verified: Claude Opus 4.8 · 87.9% | Gap3.4 behind | WeightDisplay only | Provider exact |
| Vision2Web | Score69.0% | Versus best verified row Best verified: Qwen3.8 Max · 69.0% | GapBest verified | WeightDisplay only | Provider exact |
| CharXiv w/o toolsCharXiv Reasoning without tools | Score88.4% | Versus best verified row Best verified: Claude Mythos 5 · 88.9% | Gap0.5 behind | WeightDisplay only | Provider exact |
| OmniDocBench 1.5 | Score92.1% | Versus best verified row Best verified: Qwen3.8 Max · 92.1% | GapBest verified | WeightDisplay only | Provider exact |
| OCRBench V2 | Score74.2% | Versus best verified row Best verified: Qwen3.8 Max · 74.2% | GapBest verified | WeightDisplay only | Provider exact |
| CC-OCR | Score79.6% | Versus best verified row Best verified: Qwen3.6-35B-A3B · 81.9% | Gap2.3 behind | WeightDisplay only | Provider exact |
| RealWorldQA | Score88.0% | Versus best verified row Best verified: Qwen3.8 Max · 88.0% | GapBest verified | WeightDisplay only | Provider exact |
| ERQA | Score77.8% | Versus best verified row Best verified: Qwen3.8 Max · 77.8% | GapBest verified | WeightDisplay only | Provider exact |
| SimpleVQA | Score75.0% | Versus best verified row Best verified: Qwen3.7 Plus · 81.7% | Gap6.7 behind | WeightDisplay only | Provider exact |
| PerceptionBenchPerceptionBench (Internal) | Score63.5% | Versus best verified row Best verified: Qwen3.8 Max · 63.5% | GapBest verified | WeightDisplay only | Provider exact |
| Video-MME (with subtitle)Video-MME with subtitle | Score90.4% | Versus best verified row Best verified: Qwen3.8 Max · 90.4% | GapBest verified | WeightDisplay only | Provider exact |
| VideoMMMU | Score88.7% | Versus best verified row Best verified: Qwen3.8 Max · 88.7% | GapBest verified | WeightDisplay only | Provider exact |
| MMVUMultimodal Multi-disciplinary Video Understanding | Score82.4% | Versus best verified row Best verified: Qwen3.8 Max · 82.4% | GapBest verified | WeightDisplay only | Provider exact |
| MLVU (M-Avg)MLVU mean average | Score90.8% | Versus best verified row Best verified: Qwen3.8 Max · 90.8% | GapBest verified | WeightDisplay only | Provider exact |
| LVBench | Score81.8% | Versus best verified row Best verified: Qwen3.8 Max · 81.8% | GapBest verified | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score82.8% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap2.2 behind | WeightWeighted 65% | Provider exact |
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
May 16, 2026
Qwen3.7 MaxScore 71.4 · Price not listed
Jul 19, 2026
Qwen3.8 Max PreviewNot publicly ranked · Price not listed
Aug 3, 2026 · you are here
Qwen3.8 MaxScore 79.0 · 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.
Qwen3.8 Max ranks #6 of 224 on the public leaderboard with a score of 78.95/100. Its source-verified position is #6 of 104.
Qwen3.8 Max is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Open-weight Qwen3.8-2.4T-A95B and FP8 checkpoints are available from Qwen on Hugging Face for self-hosting. The hosted qwen3.8-max SKU remains available through QwenCloud with low, medium, and xhigh reasoning effort.
Official exact-value snapshot from Qwen's August 3, 2026 Qwen3.8-Max release post, preserving the benchmark-specific harnesses, tool settings, and paired metrics documented in the source. We keep Terminal-Bench 2.1 separate from the weighted Terminal-Bench 2.0 lane, split without-tool and tool-assisted rows where the schema supports both, and leave provider-run or internal evaluations display-only. QwenSWEBench, QwenQoderBench, QwenSVGBench, WorkSpaceBench, HealthBench, PLawBench, PRBench, and other unsupported launch rows remain outside the scored fields rather than being forced into non-equivalent keys. Qwen publishes the 2.4T-total-parameter, 95B-active text checkpoint with a 1,000,000-token context window under the custom Qwen3.8-Max License.
Qwen3.8 Max sits in the Qwen3.8 Max family with Qwen3.8 Max Preview. Its explicit predecessor is Qwen3.8 Max Preview. 52 of 402 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Reasoning at #1, while its lowest eligible position is Knowledge at #33. particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.
Alibaba · Model release
Qwen3.8 Max ranks #6 out of 224 models on the public BenchAlign leaderboard, with a score of 78.95/100. Its evidence status is Supported, and this profile shows 52 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Qwen3.8 Max ranks #33 out of 60 eligible models for knowledge and understanding, with a public category score of 67.2/100. 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.
Qwen3.8 Max ranks #13 out of 141 eligible models for coding and programming, with a public category score of 65.7/100. 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.
Qwen3.8 Max ranks #1 out of 2 eligible models for reasoning and logic, with a public category score of 94.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.8 Max ranks #5 out of 137 eligible models for agentic tool use and computer tasks, with a public category score of 72.9/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.8 Max ranks #2 out of 34 eligible models for multimodal and grounded tasks, with a public category score of 88.1/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.8 Max ranks #1 out of 41 eligible models for instruction following, with a public category score of 97.8/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Qwen3.8 Max 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.
Qwen3.8 Max belongs to the Qwen3.8 Max family. Related tracked variants include Qwen3.8 Max Preview. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
No. Qwen3.8 Max currently has 54 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.
Qwen3.8 Max has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Related resources
Last updated August 22, 2026. Runtime fields remain blank until a sourced snapshot exists.
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