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Model profile · Alibaba

Qwen3.8 Max

CurrentReleased Aug 3, 2026ProprietaryReasoning1M context
Qwen3.8 Max scores 65.4 out of 100 and ranks #31 of 215. This profile shows 52 source-displayable benchmark rows; its strongest eligible category is Reasoning at #1. No comparable first-party API price is published in the catalog.

Data as of August 3, 2026 · How the score is built

Strongest published evidence

Reasoning ranks #1. Particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.

Validate before choosing

52 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

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

65.4/100

field median 57.4

#31 of 215 ranked models

Price

API rate not published

input median $1

No comparable first-party hosted token rate

Speed

Not measured

field median 108 tok/s

Time to first token not measured

Context

1Mtokens

field median 256,000

Maximum output length is tracked separately

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

  • Agentic88th percentile
  • Coding81st percentile
  • Reasoning100th percentile
  • KnowledgeNot eligible
  • MathNot eligible
  • MultilingualNot eligible
  • Multimodal97th percentile
  • Instruction following97th percentile

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#16/129
  2. Coding#25/130
  3. Reasoning#1/2
  4. KnowledgeNot ranked
  5. MathNot ranked
  6. MultilingualNot ranked
  7. Multimodal#2/34
  8. Inst. Following#2/33
Top decileTop quartileMid-fieldNot eligible

How 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.

  1. Agentic14/14 verified
  2. Coding7/7 verified
  3. Reasoning2/2 verified
  4. Knowledge4/4 verified
  5. MathNot measured
  6. MultilingualNot measured
  7. Multimodal24/24 verified
  8. Inst. Following1/1 verified
Verified sourceProvisionalNot measured

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
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Available through QwenCloud as qwen3.8-max with low, medium, and xhigh reasoning effort. Qwen says the 2.4T-parameter model's open weights will follow the hosted release next week.
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
Weights are not published
Rate limits
Not tracked yet

Category 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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #16 of 129Percentile 88thWeight 22%14 benchmarksVerified59.0
CodingRank #25 of 130Percentile 81stWeight 20%7 benchmarksVerified59.5
ReasoningRank #1 of 2Percentile 100thWeight 17%2 benchmarksVerified95.5
KnowledgeRank Not rankedWeight 12%4 benchmarksVerified66.4
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank #2 of 34Percentile 97thWeight 12%24 benchmarksVerified88.1
Inst. FollowingRank #2 of 33Percentile 97thWeight 5%1 benchmarkVerified93.9

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.

Coding7 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore67.7%Versus best verified row

Best verified: Claude Mythos 5 · 80.3%

Gap12.6 behindWeightWeighted 10%
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score86.6%Versus best verified row

Best verified: Qwen3.8 Max · 86.6%

GapBest verifiedWeightDisplay only
deepSweScore56.6%Versus best verified row

Best verified: GPT-5.6 Sol · 72.7%

Gap16.1 behindWeightDisplay only
NL2RepoScore55.9%Versus best verified row

Best verified: Qwen3.8 Max · 55.9%

GapBest verifiedWeightDisplay only
FrontierSWEScore73.5%Versus best verified row

Best verified: Kimi K3 · 81.2%

Gap7.7 behindWeightDisplay only
MLS-Bench LiteScore41.0%Versus best verified row

Best verified: Kimi K3 · 48.3%

Gap7.3 behindWeightDisplay only
PaperBenchScore93.0%Versus best verified row

Best verified: Qwen3.8 Max · 93.0%

GapBest verifiedWeightDisplay only
Agentic14 rows
Agentic benchmark values, best verified comparison, weight, and source status
OSWorld-VerifiedScore86.1%Versus best verified row

Best verified: Qwen3.8 Max · 86.1%

GapBest verifiedWeightWeighted 34%
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score86.6%Versus best verified row

Best verified: Qwen3.8 Max · 86.6%

GapBest verifiedWeightDisplay only
CoWorkBenchScore74.8%Versus best verified row

Best verified: Qwen3.8 Max · 74.8%

GapBest verifiedWeightDisplay only
JobBenchScore53.4%Versus best verified row

Best verified: Muse Spark 1.1 · 54.7%

Gap1.3 behindWeightDisplay only
skillsBenchScore70.2%Versus best verified row

Best verified: Qwen3.8 Max · 70.2%

GapBest verifiedWeightDisplay only
Agents' Last ExamScore52.4%Versus best verified row

Best verified: Qwen3.8 Max · 52.4%

GapBest verifiedWeightDisplay only
AutomationBenchScore27.3%Versus best verified row

Best verified: Kimi K3 · 30.8%

Gap3.5 behindWeightDisplay only
Toolathlon-VerifiedScore72.5%Versus best verified row

Best verified: Claude Opus 5 · 80.6%

Gap8.1 behindWeightDisplay only
WideResearchScore81.9%Versus best verified row

Best verified: Qwen3.8 Max · 81.9%

GapBest verifiedWeightDisplay only
HLE w/ toolsHumanity's Last Exam with toolsScore56.2%Versus best verified row

Best verified: Claude Opus 5 · 64.7%

Gap8.5 behindWeightDisplay only
OSWorld 2.0Score19.4%Versus best verified row

Best verified: Claude Opus 5 · 70.6%

Gap51.2 behindWeightDisplay only
WebArena-VerifiedWebArena-Verified Browser Agent BenchmarkScore66.8%Versus best verified row

Best verified: Muse Spark 1.1 · 69%

Gap2.2 behindWeightDisplay only
AndroidWorldScore85.3%Versus best verified row

Best verified: Qwen3.8 Max · 85.3%

GapBest verifiedWeightDisplay only
MobileWorldScore77.8%Versus best verified row

Best verified: Qwen3.8 Max · 77.8%

GapBest verifiedWeightDisplay only
Reasoning2 rows
Reasoning benchmark values, best verified comparison, weight, and source status
LongBench v2Score66.3%Versus best verified row

Best verified: Qwen3.8 Max · 66.3%

GapBest verifiedWeightWeighted 38%
MRCRv2Score92.9%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.6%

Gap0.7 behindWeightWeighted 31%
Knowledge4 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore43.6%Versus best verified row

Best verified: Claude Opus 5 · 64.7%

Gap21.1 behindWeightWeighted 45%
GPQAGraduate-Level Google-Proof Q&AScore92.6%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap2.9 behindWeightWeighted 7%
GPQA-DGPQA DiamondScore92.6%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap2.9 behindWeightDisplay only
HLE w/o toolsHumanity's Last Exam without toolsScore43.6%Versus best verified row

Best verified: Claude Mythos 5 · 59%

Gap15.4 behindWeightDisplay only
Multimodal24 rows
Multimodal benchmark values, best verified comparison, weight, and source status
MMMU-ProMassive Multi-discipline Multimodal Understanding ProScore82.3%Versus best verified row

Best verified: GPT-5.4 Pro · 94%

Gap11.7 behindWeightWeighted 45%
CharXivCharXiv ReasoningScore93.5%Versus best verified row

Best verified: Claude Mythos 5 · 93.5%

GapBest verifiedWeightWeighted 25%
MathVisionScore95.2%Versus best verified row

Best verified: Qwen3.8 Max · 95.2%

GapBest verifiedWeightDisplay only
MathVision w/ PythonMathVision with PythonScore97.7%Versus best verified row

Best verified: Kimi K3 · 97.8%

Gap0.1 behindWeightDisplay only
BabyVisionScore82.0%Versus best verified row

Best verified: Qwen3.8 Max · 82.0%

GapBest verifiedWeightDisplay only
BabyVision w/ PythonBabyVision with PythonScore91.3%Versus best verified row

Best verified: Qwen3.8 Max · 91.3%

GapBest verifiedWeightDisplay only
ZeroBenchScore24.0%Versus best verified row

Best verified: Muse Spark · 33.0%

Gap9 behindWeightDisplay only
ZeroBench w/ PythonZeroBench_main with PythonScore49.0%Versus best verified row

Best verified: Qwen3.8 Max · 49.0%

GapBest verifiedWeightDisplay only
MedXpertQA (MM)MedXpertQA MultimodalScore80.4%Versus best verified row

Best verified: Qwen3.8 Max · 80.4%

GapBest verifiedWeightDisplay only
ScreenSpot ProScore84.5%Versus best verified row

Best verified: Claude Opus 4.8 · 87.9%

Gap3.4 behindWeightDisplay only
Vision2WebScore69.0%Versus best verified row

Best verified: Qwen3.8 Max · 69.0%

GapBest verifiedWeightDisplay only
CharXiv w/o toolsCharXiv Reasoning without toolsScore88.4%Versus best verified row

Best verified: Claude Mythos 5 · 88.9%

Gap0.5 behindWeightDisplay only
OmniDocBench 1.5Score92.1%Versus best verified row

Best verified: Qwen3.8 Max · 92.1%

GapBest verifiedWeightDisplay only
OCRBench V2Score74.2%Versus best verified row

Best verified: Qwen3.8 Max · 74.2%

GapBest verifiedWeightDisplay only
CC-OCRScore79.6%Versus best verified row

Best verified: Qwen3.6-35B-A3B · 81.9%

Gap2.3 behindWeightDisplay only
RealWorldQAScore88.0%Versus best verified row

Best verified: Qwen3.8 Max · 88.0%

GapBest verifiedWeightDisplay only
ERQAScore77.8%Versus best verified row

Best verified: Qwen3.8 Max · 77.8%

GapBest verifiedWeightDisplay only
SimpleVQAScore75.0%Versus best verified row

Best verified: Qwen3.7 Plus · 81.7%

Gap6.7 behindWeightDisplay only
PerceptionBenchPerceptionBench (Internal)Score63.5%Versus best verified row

Best verified: Qwen3.8 Max · 63.5%

GapBest verifiedWeightDisplay only
Video-MME (with subtitle)Video-MME with subtitleScore90.4%Versus best verified row

Best verified: Qwen3.8 Max · 90.4%

GapBest verifiedWeightDisplay only
VideoMMMUScore88.7%Versus best verified row

Best verified: Qwen3.8 Max · 88.7%

GapBest verifiedWeightDisplay only
MMVUMultimodal Multi-disciplinary Video UnderstandingScore82.4%Versus best verified row

Best verified: Qwen3.8 Max · 82.4%

GapBest verifiedWeightDisplay only
MLVU (M-Avg)MLVU mean averageScore90.8%Versus best verified row

Best verified: Qwen3.8 Max · 90.8%

GapBest verifiedWeightDisplay only
LVBenchScore81.8%Versus best verified row

Best verified: Qwen3.8 Max · 81.8%

GapBest verifiedWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore82.8%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap2.2 behindWeightWeighted 65%

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Aug 3, 2026 · you are here

Qwen3.8 Max

Score 65.4 · Price not listed

Base entry

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 #31 of 215 on the public leaderboard with a score of 65.4/100. It does not yet have enough sourced coverage for a verified position.

Qwen3.8 Max 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.

Available through QwenCloud as qwen3.8-max with low, medium, and xhigh reasoning effort. Qwen says the 2.4T-parameter model's open weights will follow the hosted release next week.

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 reports 2.4T total parameters with 95B active, multimodal input, and a 1,000,000-token context window; the weights are scheduled for release after launch and are not yet public.

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 381 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 Coding at #25. particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.

Radar

Qwen3.8 Max release history

Full release history

Frequently asked questions

How does Qwen3.8 Max perform overall in AI benchmarks?

Qwen3.8 Max ranks #31 out of 215 models on the public BenchAlign leaderboard, with a score of 65.4/100. Its evidence status is Estimated, 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.

Is Qwen3.8 Max good for knowledge and understanding?

Qwen3.8 Max has source-displayable benchmark coverage for knowledge and understanding, 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 coding and programming?

Qwen3.8 Max ranks #25 out of 130 eligible models for coding and programming, with a public category score of 59.5/100. 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 good for reasoning and logic?

Qwen3.8 Max ranks #1 out of 2 eligible models for reasoning and logic, with a public category score of 95.5/100. 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 agentic tool use and computer tasks?

Qwen3.8 Max ranks #16 out of 129 eligible models for agentic tool use and computer tasks, with a public category score of 59/100. 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 #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.

Is Qwen3.8 Max good for instruction following?

Qwen3.8 Max ranks #2 out of 33 eligible models for instruction following, with a public category score of 93.9/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

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 53 source-displayable rows across 381 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.

Last updated August 3, 2026. Runtime fields remain blank until a sourced snapshot exists.

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