Alibaba · Model release
Data as of September 30, 2026 · How the score is built
Qwen3.8 Max
Decision readingQwen3.8 Max scores 72.1 out of 100 and ranks #16 of 211. This profile shows 60 source-displayable benchmark rows; its strongest eligible category is Multimodal & Grounded at #5. No comparable first-party API price is published in the catalog.
Released Aug 3, 2026 — see all recent releases
Qwen3.8 Max will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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Decision snapshot
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
72.1/100
field median 52.4#16 of 211 ranked models
Public
#16of 211
Verified #9 of 74
Price
API rate not published
input median $1No comparable first-party hosted token rate
Speed
39tok/s
field median 89 tok/sFirst token 53.87 s
Context
1Mtokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Multimodal & Grounded ranks #5. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Validate before choosing
60 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 60 displayable benchmark rows
Follow model changesCategory score record
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 #14 of 119Percentile 89thWeight 22%15 benchmarksVerified | 65.4 | 15 benchmarks | Verified | |||
| CodingRank #30 of 144Percentile 80thWeight 20%12 benchmarksVerified | 55.4 | 12 benchmarks | Verified | |||
| ReasoningRank Not rankedWeight 17%2 benchmarksVerified | 87.7 | 2 benchmarks | Verified | |||
| MultimodalRank #5 of 49Percentile 92ndWeight 12%24 benchmarksVerified | 88.4 | 24 benchmarks | Verified | |||
| KnowledgeRank #23 of 170Percentile 87thWeight 12%6 benchmarksVerified | 66.1 | 6 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #16 of 124Percentile 88thWeight 5%1 benchmarkVerified | 90.5 | 1 benchmark | Verified | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
60 of 496 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
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.
- Agentic15/15 verified
- Coding12/12 verified
- Reasoning2/2 verified
- Multimodal24/24 verified
- Knowledge6/6 verified
- MultilingualNot measured
- Inst. Following1/1 verified
- MathNot measured
Capability shape
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
- Agentic89th percentile
- Coding80th percentile
- ReasoningNot eligible
- Multimodal92nd percentile
- Knowledge87th percentile
- MultilingualNot eligible
- Instruction following88th percentile
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#14/119
- Coding#30/144
- ReasoningNot ranked
- Multimodal#5/49
- Knowledge#23/170
- MultilingualNot ranked
- Inst. Following#16/124
- MathNot ranked
Benchmark ledger
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.
Coding12 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score67.7% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap22.2 behind | Weight26% ref. weight | Provider exact |
| FrontierSWE v2 | Score15.8% | Versus best verified row Best verified: GPT-6 Astra · 65.5% | Gap49.7 behind | Weight8% ref. weight | Benchmark exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score87.9% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap2.6 behind | Weight8% ref. weight | |
| VulcanBench v3 | Score81.2% | Versus best verified row Best verified: Grok 4.5 · 89.9% | Gap8.7 behind | Weight3% ref. weight | Benchmark exact |
| DeepSWE | Score56.6% | Versus best verified row Best verified: Gemini 4 Argon · 77.9% | Gap21.3 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1 | Score86.6% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap6.2 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score55.9% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 65.4% | Gap9.5 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 |
| OpenHarmony BenchOpenHarmony Bench v1.0 | Score60.8% | Versus best verified row Best verified: Qwen3.8 Max · 60.8% | GapBest verified | WeightDisplay only | Benchmark exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score85.6% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap11.4 behind | WeightDisplay only | Verified |
Agentic15 rows
| 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 | Weight6% ref. weight | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score67.4% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap19.9 behind | Weight3% ref. weight | |
| OSWorld 2.0 | Score19.4% | Versus best verified row Best verified: GPT-6 Astra · 72.6% | Gap53.2 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1 | Score86.6% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap6.2 behind | WeightDisplay only | Provider exact |
| JobBench | Score53.4% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap11.5 behind | WeightDisplay only | Provider exact |
| AutomationBench | Score27.3% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 54.8% | Gap27.5 behind | WeightDisplay only | Provider exact |
| Agents' Last Exam | Score52.4% | Versus best verified row Best verified: GPT-6 Astra · 59.3% | Gap6.9 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 |
| HLE w/ toolsHumanity's Last Exam with tools | Score56.2% | Versus best verified row Best verified: Claude Opus 5.5 · 67.7% | Gap11.5 behind | WeightDisplay only | Provider exact |
| CoWorkBench | Score74.8% | Versus best verified row Best verified: Qwen3.8-Omni-Flash · 75.3% | Gap0.5 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 |
| WideResearch | Score81.9% | Versus best verified row Best verified: Hy4 preview · 83.9% | Gap2 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-Omni-Flash · 87.1% | Gap1.8 behind | WeightDisplay only | Provider exact |
| MobileWorld | Score77.8% | Versus best verified row Best verified: Qwen3.8 Max · 77.8% | GapBest verified | WeightDisplay only | Provider exact |
Reasoning2 rows
| 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 25% | Provider exact |
| MRCRv2 | Score92.9% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.6% | Gap0.7 behind | WeightWeighted 20% | Provider exact |
Multimodal24 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score82.3% | Versus best verified row Best verified: Gemini 3.5 Flash · 83.6% | Gap1.3 behind | WeightWeighted 40% | Provider exact |
| CharXivCharXiv Reasoning | Score93.5% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | GapBest verified | WeightWeighted 20% | 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: GPT-6 Astra · 92.7% | Gap8.2 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-Flash-Next · 88.5% | Gap0.5 behind | 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: Gemini 4 Argon · 91.7% | Gap9.9 behind | WeightDisplay only | Provider exact |
Knowledge6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score43.6% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap21.4 behind | Weight44% ref. weight | Provider exact |
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score88.6% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap3.8 behind | Weight6% ref. weight | Verified |
| GPQAGraduate-Level Google-Proof Q&A | Score92.6% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap3.4 behind | Weight3% ref. weight | Provider exact |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score93.7% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap1.8 behind | Weight2% ref. weight | |
| HLE w/o toolsHumanity's Last Exam without tools | Score43.6% | Versus best verified row Best verified: Claude Opus 5.5 · 64.4% | Gap20.8 behind | WeightDisplay only | Provider exact |
| GPQA-DGPQA Diamond | Score92.6% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap3.4 behind | WeightDisplay only | Provider exact |
Inst. Following1 row
| 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 70% | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 60 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Qwen3.8 Max PreviewQwen3.8 Max release history
Radar confirmed these at the source. Use Qwen3.8 Max in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- qwen3.8-maxAlibaba Cloud Model Studio pricing
- Context window
- 1MAlibaba Cloud Model Studio pricing
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- 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.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordAlibaba Cloud Model Studio pricing
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Qwen3.8 Max ranks #16 of 211 on the public leaderboard with a score of 72.1/100. Its source-verified position is #9 of 74.
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. 60 of 496 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multimodal & Grounded at #5, while its lowest eligible position is Coding at #30. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Last updated September 30, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
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 parametersQuestions
How does Qwen3.8 Max perform overall in AI benchmarks?
Qwen3.8 Max ranks #16 out of 211 models on the public BenchAlign leaderboard, with a score of 72.1/100. Its evidence status is Supported, and this profile shows 60 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Qwen3.8 Max good for knowledge and understanding?
Qwen3.8 Max ranks #23 out of 170 eligible models for knowledge and understanding, with a public category score of 66.1/100. 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.
Is Qwen3.8 Max good for coding and programming?
Qwen3.8 Max ranks #30 out of 144 eligible models for coding and programming, with a public category score of 55.4/100. 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.
Is Qwen3.8 Max good for reasoning and logic?
Qwen3.8 Max 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.
Is Qwen3.8 Max good for agentic tool use and computer tasks?
Qwen3.8 Max ranks #14 out of 119 eligible models for agentic tool use and computer tasks, with a public category score of 65.4/100. 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.
Is Qwen3.8 Max good for multimodal and grounded tasks?
Qwen3.8 Max ranks #5 out of 49 eligible models for multimodal and grounded tasks, with a public category score of 88.4/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Qwen3.8 Max good for instruction following?
Qwen3.8 Max ranks #16 out of 124 eligible models for instruction following, with a public category score of 90.5/100. 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.
Is Qwen3.8 Max open source?
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.
Which sibling models are related to Qwen3.8 Max?
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.
Does Qwen3.8 Max have full benchmark coverage on BenchLM?
No. Qwen3.8 Max currently has 61 source-displayable rows across 496 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.
What is the context window size of Qwen3.8 Max?
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.