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Model A
Qwen3.5-27B

Alibaba

58.31/100

Supported · Public rank #85

90% interval 48.967.7

Qwen3.5-27B vs Qwen3 Max

Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

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Model B
Qwen3 Max

Alibaba

43.82/100

Estimated · Public rank #173

90% interval 38.149.6

Decision reading

Qwen3.5-27B has the higher public score estimate, 58.31 versus 43.82, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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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 Max

    Qwen3 Max 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

    Qwen3 Max 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

    Qwen3 Max 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

What is actually comparable

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

Shared results
1
Qwen3.5-27B only
15
Qwen3 Max only
1
Like-for-like categories
0 / 8

3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign 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
Qwen3.5-27B
40.7
Supported · #139/183
Qwen3 Max
45.4
Estimated · #107/183
Basis
BenchAlign lane · 2 vs 1 public rows
Reading
Directional only

Knowledge

Directional only
Qwen3.5-27B
48.5
Supported · #100/181
Qwen3 Max
43.8
Estimated · #123/181
Basis
BenchAlign lane · 3 vs 0 public rows
Reading
Directional only

Instruction following

Directional only
Qwen3.5-27B
92.6
#13/120
Qwen3 Max
51.7
#78/120
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Directional only

Agentic

Not comparable
Qwen3.5-27B
48.5
Estimated · #75/151
Qwen3 Max
Not ranked
Basis
BenchAlign lane · 4 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
Qwen3.5-27B
50.9
Unranked · 3 rankable rows
Qwen3 Max
55.7
Unranked · 2 rankable rows
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Qwen3.5-27B
Not ranked
Qwen3 Max
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Qwen3.5-27B
36.8
#9/12
Qwen3 Max
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Qwen3.5-27B
70.5
Unranked · 3 rankable rows
Qwen3 Max
Not ranked
Basis
Provisional lane · 0 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) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

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

Qwen3.5-27B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3 Max
API rate not published
Fits in one request

Qwen3.5-27B has no comparable published API token rate. Qwen3 Max has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Qwen3.5-27B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3 Max
API rate not published
Fits in one request

Qwen3.5-27B has no comparable published API token rate. Qwen3 Max has no comparable published API token rate.

Cache-heavy agent loop

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

Qwen3.5-27B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Qwen3 Max
API rate not published
Fits in one request
Cached-input rate unavailable

Qwen3.5-27B has no comparable published API token rate. Qwen3 Max has no comparable published API token rate.

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.

Qwen3.5-27B

262K

Qwen3 Max

1M

API model ID

Qwen3.5-27B

Not sourced

Qwen3 Max

Not sourced

Cached-input rate

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

Qwen3.5-27B

No comparable hosted API rate

Qwen3 Max

No comparable hosted API rate

Documented inputs

Qwen3.5-27B

Not sourced

Qwen3 Max

Not sourced

Documented outputs

Qwen3.5-27B

Not sourced

Qwen3 Max

Not sourced

Provider availability

Qwen3.5-27B

Not sourced

Qwen3 Max

Not sourced

Reasoning profile

Qwen3.5-27B

Reasoning

Qwen3 Max

Reasoning

Weight access

Qwen3.5-27B

Open Weight

Qwen3 Max

Proprietary

License

Qwen3.5-27B

Open Weight

Qwen3 Max

Proprietary

Release date

Qwen3.5-27B

2026-03-04

Qwen3 Max

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
Qwen3.5-27B has the higher public score estimate, 58.31 versus 43.82, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Qwen3 Max has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

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

Browse raw public benchmark evidence17 rows

Agentic

  • Terminal-Bench 2.0

    Qwen3.5-27B41.6%
    Source
    Qwen3 Max

    Not directly comparable

  • BrowseComp

    Qwen3.5-27B61%
    Source
    Qwen3 Max

    Not directly comparable

  • OSWorld-Verified

    Qwen3.5-27B56.2%
    Source
    Qwen3 Max

    Not directly comparable

  • Qwen3.5-27B39.41%
    Qwen3 Max43.74%

    Qwen3 Max leads this result

Coding

  • SWE-bench Verified

    Qwen3.5-27B72.4%
    Source
    Qwen3 Max

    Not directly comparable

  • SWE-Rebench

    Qwen3.5-27B58.9%
    Source
    Qwen3 Max

    Not directly comparable

  • Vibe Code Bench

    Qwen3.5-27B
    Qwen3 Max3.51%
    Source

    Not directly comparable

Reasoning

  • LongBench v2

    Qwen3.5-27B60.6%
    Source
    Qwen3 Max

    Not directly comparable

Knowledge

  • MMLU-Pro

    Qwen3.5-27B86.1%
    Source
    Qwen3 Max

    Not directly comparable

  • SuperGPQA

    Qwen3.5-27B65.6%
    Source
    Qwen3 Max

    Not directly comparable

  • GPQA

    Qwen3.5-27B85.5%
    Source
    Qwen3 Max

    Not directly comparable

Multilingual

  • MMLU-ProX

    Qwen3.5-27B82.2%
    Source
    Qwen3 Max

    Not directly comparable

Multimodal

  • MMMU

    Qwen3.5-27B82.3%
    Source
    Qwen3 Max

    Not directly comparable

  • MMVU

    Qwen3.5-27B73.3%
    Source
    Qwen3 Max

    Not directly comparable

  • MathVision

    Qwen3.5-27B86.0%
    Source
    Qwen3 Max

    Not directly comparable

  • V*

    Qwen3.5-27B93.7%
    Source
    Qwen3 Max

    Not directly comparable

Instruction following

  • IFEval

    Qwen3.5-27B95%
    Source
    Qwen3 Max

    Not directly comparable

Frequently asked questions

Which is better, Qwen3.5-27B or Qwen3 Max?

Qwen3.5-27B has the higher public score estimate, 58.31 versus 43.82, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Qwen3.5-27B or Qwen3 Max?

Qwen3 Max scores higher for coding on the public lane, 45.4 to 40.7. Qwen3 Max 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, Qwen3.5-27B or Qwen3 Max?

Qwen3 Max is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Qwen3.5-27B or Qwen3 Max?

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, Qwen3.5-27B or Qwen3 Max?

Qwen3 Max has the larger documented context window: 1M, compared with 262K.

Related comparisons

Last updated September 4, 2026

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