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Model profile · Alibaba

Qwen 3.6 Max (preview)

CurrentReleased Apr 20, 2026ProprietaryReasoning256K context
Qwen 3.6 Max (preview) scores 59.3 out of 100 and ranks #60 of 215. This profile shows 9 source-displayable benchmark rows; its strongest eligible category is Agentic at #20. No comparable first-party API price is published in the catalog.

Data as of July 29, 2026 · How the score is built

Strongest published evidence

Agentic ranks #20. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

9 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

59.3/100

field median 57.2

#60 of 215 ranked models

Price

Not listed

input median $1

No comparable first-party hosted token rate

Speed

Not measured

field median 107 tok/s

Time to first token not measured

Context

256Ktokens

field median 256,000

Reported for this model; direct source link not stored

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.

Qwen 3.6 Max (preview) category percentile values

  • Agentic85th percentile
  • Coding78th percentile
  • ReasoningNot eligible
  • KnowledgeNot eligible
  • MathNot eligible
  • MultilingualNot eligible
  • MultimodalNot eligible
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#20/129
  2. Coding#30/130
  3. ReasoningNot ranked
  4. KnowledgeNot ranked
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. FollowingNot ranked
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. Agentic2/2 verified
  2. Coding4/4 verified
  3. ReasoningNot measured
  4. Knowledge1/1 verified
  5. Math2/2 verified
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. FollowingNot measured
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
Not published
Context window
256K
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
Not sourced yet
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 record
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 #20 of 129Percentile 85thWeight 22%2 benchmarksVerified56.8
CodingRank #30 of 130Percentile 78thWeight 20%4 benchmarksVerified57.4
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%1 benchmarkVerified68.1
MathRank Not rankedWeight 5%2 benchmarksVerified41.8
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

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.

Coding4 rows
Coding benchmark values, best verified comparison, weight, and source status
SciCodeScientific Code BenchmarkScore47%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap13.1 behindWeightWeighted 16%
SWE-bench ProScore57.3%Versus best verified row

Best verified: Claude Mythos 5 · 80.3%

Gap23 behindWeightWeighted 10%
NL2RepoScore42.9%Versus best verified row

Best verified: GLM-5.2 · 48.9%

Gap6 behindWeightDisplay only
Terminal-Bench 2.0Score65.4%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap26.5 behindWeightDisplay only
Agentic2 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score65.4%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap26.5 behindWeightWeighted 38%
QwenClawBenchScore59.0%Versus best verified row

Best verified: Qwen3.7 Max · 64.3%

Gap5.3 behindWeightDisplay only
Knowledge1 row
Knowledge benchmark values, best verified comparison, weight, and source status
SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate DisciplinesScore73.9%Versus best verified row

Best verified: Qwen 3.6 Max (preview) · 73.9%

GapBest verifiedWeightWeighted 7%
Math2 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score23.103%Versus best verified row

Best verified: GPT-5.6 Sol · 89.000%

Gap65.9 behindWeightWeighted 30%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score4.167%Versus best verified row

Best verified: GPT-5.6 Sol · 83.000%

Gap78.8 behindWeightWeighted 10%

Lineage

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

preview · preview

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.

Qwen 3.6 Max (preview) ranks #60 of 215 on the public leaderboard with a score of 59.29/100. Its source-verified position is #44 of 103.

Qwen 3.6 Max (preview) is a proprietary model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

9 of 371 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #20, while its lowest eligible position is Coding at #30. particularly useful for coding agents, browser research, and computer-use workflows.

Frequently asked questions

How does Qwen 3.6 Max (preview) perform overall in AI benchmarks?

Qwen 3.6 Max (preview) ranks #60 out of 215 models on the public BenchAlign leaderboard, with a score of 59.29/100. Its evidence status is Supported, and this profile shows 9 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Qwen 3.6 Max (preview) good for knowledge and understanding?

Qwen 3.6 Max (preview) 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 Qwen 3.6 Max (preview) good for coding and programming?

Qwen 3.6 Max (preview) ranks #30 out of 130 eligible models for coding and programming, with a public category score of 57.4/100. 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 Qwen 3.6 Max (preview) good for mathematics?

Qwen 3.6 Max (preview) 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.

Is Qwen 3.6 Max (preview) good for agentic tool use and computer tasks?

Qwen 3.6 Max (preview) ranks #20 out of 129 eligible models for agentic tool use and computer tasks, with a public category score of 56.8/100. 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.

Does Qwen 3.6 Max (preview) have full benchmark coverage on BenchLM?

No. Qwen 3.6 Max (preview) currently has 21 source-displayable rows across 371 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 Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) has a reported context window of 256K 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.

Last updated July 29, 2026. Runtime fields remain blank until a sourced snapshot exists.

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