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Data

Qwen3.6-27B vs Qwen 3.6 Max (preview)

Updated October 28, 2026. Rank says Qwen 3.6 Max (preview) is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Qwen 3.6 Max (preview) has the higher public point estimate, 55.48 versus 48.41. Their conditional score ranges overlap. These ranges do not establish rank confidence. 7 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Alibaba logo

Alibaba

48.41/100

Estimated · Public rank #109

Conditional range 34.1–62.8

Model B
Alibaba logo

Alibaba

55.48/100

Estimated · Public rank #72

Conditional range 45.8–65.2

Shared results
7
Qwen3.6-27B only
33
Qwen 3.6 Max (preview) only
1
Like-for-like categories
0 / 8
Estimated: Qwen3.6-27B and Qwen 3.6 Max (preview). Conditional ranges do not establish rank confidence.How the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Qwen3.6-27B

    Qwen3.6-27B has the larger documented context window.

    Confidence: documented
Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Qwen 3.6 Max (preview) is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited
  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Qwen 3.6 Max (preview) is not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited
  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates
  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates
  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

35.1Qwen3.6-27B42.8Qwen 3.6 Max (preview)

Directional only · BenchAlign v5.8

Qwen 3.6 Max (preview) has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Coding

Directional only
Qwen3.6-27B
35.1
Supported · #82/155
Qwen 3.6 Max (preview)
42.8
Estimated · #62/155
Basis
BenchAlign v5.8 lane · 7 vs 5 public rows
Reading
Directional only

Agentic

Not comparable
Qwen3.6-27B
29.6
Supported · #101/134
Qwen 3.6 Max (preview)
Not ranked
Basis
BenchAlign v5.8 lane · 6 vs 2 public rows
Reading
Not comparable

Reasoning

Not comparable
Qwen3.6-27B
78.1
Unranked · 2 rankable rows
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Qwen3.6-27B
67.4
#42/58
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 2 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Qwen3.6-27B
46.8
Estimated · #93/189
Qwen 3.6 Max (preview)
Not ranked
Basis
BenchAlign v5.8 lane · 6 vs 1 public rows
Reading
Not comparable

Multilingual

Not comparable
Qwen3.6-27B
Not ranked
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Qwen3.6-27B
82.4
#59/156
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Qwen3.6-27B
65.9
#8/12
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 3 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Qwen3.6-27B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen 3.6 Max (preview)
API rate not published
Fits in one request

Qwen3.6-27B has no comparable published API token rate. Qwen 3.6 Max (preview) has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Qwen3.6-27B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen 3.6 Max (preview)
API rate not published
Fits in one request

Qwen3.6-27B has no comparable published API token rate. Qwen 3.6 Max (preview) has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Qwen3.6-27B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Qwen 3.6 Max (preview)
API rate not published
Fits in one request
Cached-input rate unavailable

Qwen3.6-27B has no comparable published API token rate. Qwen 3.6 Max (preview) has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Qwen3.6-27B

262K

Qwen 3.6 Max (preview)

256K

API model ID

Qwen3.6-27B

Not sourced

Qwen 3.6 Max (preview)

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Qwen3.6-27B

No comparable hosted API rate

Qwen 3.6 Max (preview)

No comparable hosted API rate

Documented inputs

Qwen3.6-27B

Not sourced

Qwen 3.6 Max (preview)

Not sourced

Documented outputs

Qwen3.6-27B

Not sourced

Qwen 3.6 Max (preview)

Not sourced

Provider availability

Qwen3.6-27B

Not sourced

Qwen 3.6 Max (preview)

Not sourced

Reasoning profile

Qwen3.6-27B

Reasoning

Qwen 3.6 Max (preview)

Reasoning

Weight access

Qwen3.6-27B

Open Weight

Qwen 3.6 Max (preview)

Proprietary

License

Qwen3.6-27B

Open Weight

Qwen 3.6 Max (preview)

Proprietary

Release date

Qwen3.6-27B

2026-04-21

Qwen 3.6 Max (preview)

2026-04-20

If you already use one of these models

Deployment change
Both entries list Alibaba as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
Quality signal
Qwen 3.6 Max (preview) has the higher public point estimate, 55.48 versus 48.41. Their conditional score ranges overlap. These ranges do not establish rank confidence.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Qwen3.6-27B has the larger documented window (262K).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Qwen3.6-27B or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) has the higher public point estimate, 55.48 versus 48.41. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Qwen3.6-27B or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) scores higher for coding on the public lane, 42.8 to 35.1. Qwen 3.6 Max (preview) is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Qwen3.6-27B or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Qwen3.6-27B or Qwen 3.6 Max (preview)?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Qwen3.6-27B or Qwen 3.6 Max (preview)?

Qwen3.6-27B has the larger documented context window: 262K, compared with 256K.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Qwen3.6-27B
API / mo$0
Self-host / mo$298
Break-even—
Qwen 3.6 Max (preview)
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence41 rows

Agentic

  • Terminal-Bench 2.0

    Qwen3.6-27B59.3%
    Source
    Qwen 3.6 Max (preview)65.4%
    Source

    Qwen 3.6 Max (preview) leads this result

  • Claw-Eval

    Qwen3.6-27B72.4%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • QwenClawBench

    Qwen3.6-27B53.4%
    Source
    Qwen 3.6 Max (preview)59.0%
    Source

    Qwen 3.6 Max (preview) leads this result

  • QwenWebBench

    Qwen3.6-27B1487
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • AndroidWorld

    Qwen3.6-27B70.3%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • Gert Labs

    Qwen3.6-27B54.84%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

Coding

  • SWE-bench Verified

    Qwen3.6-27B77.2%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SWE Multilingual

    Qwen3.6-27B71.3%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SWE-bench Pro

    Qwen3.6-27B53.5%
    Source
    Qwen 3.6 Max (preview)57.3%
    Source

    Qwen 3.6 Max (preview) leads this result

  • Terminal-Bench 2.0

    Qwen3.6-27B59.3%
    Source
    Qwen 3.6 Max (preview)65.4%
    Source

    Qwen 3.6 Max (preview) leads this result

  • LiveCodeBench v6

    Qwen3.6-27B83.9%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • NL2Repo

    Qwen3.6-27B36.2%
    Source
    Qwen 3.6 Max (preview)42.9%
    Source

    Qwen 3.6 Max (preview) leads this result

  • SWE-bench (Vals)

    Qwen3.6-27B70.0%
    Source
    Qwen 3.6 Max (preview)72.8%
    Source

    Qwen 3.6 Max (preview) leads this result

  • SciCode

    Qwen3.6-27B—
    Qwen 3.6 Max (preview)47%
    Source

    Not directly comparable

Multimodal

  • MMMU

    Qwen3.6-27B82.9%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • MMMU-Pro

    Qwen3.6-27B75.8%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • RealWorldQA

    Qwen3.6-27B84.1%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • DynaMath

    Qwen3.6-27B85.6%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • MStar

    Qwen3.6-27B81.4%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SimpleVQA

    Qwen3.6-27B56.1%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • CharXiv

    Qwen3.6-27B78.4%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • CC-OCR

    Qwen3.6-27B81.2%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • CountBench

    Qwen3.6-27B97.8%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • RefCOCO (avg)

    Qwen3.6-27B92.5%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • ERQA

    Qwen3.6-27B62.5%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • Video-MME (with subtitle)

    Qwen3.6-27B87.7%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • VideoMMMU

    Qwen3.6-27B84.4%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • MLVU (M-Avg)

    Qwen3.6-27B86.6%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • V*

    Qwen3.6-27B94.7%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

Knowledge

  • MMLU-Pro

    Qwen3.6-27B86.2%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • MMLU-Redux

    Qwen3.6-27B93.5%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SuperGPQA

    Qwen3.6-27B66%
    Source
    Qwen 3.6 Max (preview)73.9%
    Source

    Qwen 3.6 Max (preview) leads this result

  • C-Eval

    Qwen3.6-27B91.4%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • GPQA

    Qwen3.6-27B87.8%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • HLE

    Qwen3.6-27B24%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

Math

  • HMMT Feb 2025

    Qwen3.6-27B93.8%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • HMMT Nov 2025

    Qwen3.6-27B90.7%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • HMMT Feb 2026

    Qwen3.6-27B84.3%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • MMAnswerBench

    Qwen3.6-27B80.8%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • AIME26

    Qwen3.6-27B94.1%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Qwen3.6-27B35.088%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

41 public results · 7 shared

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Last updated October 28, 2026