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Data

Qwen3.5-35B-A3B vs Qwen3.6 Plus

Updated October 13, 2026. Rank says Qwen3.6 Plus is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Qwen3.6 Plus has the higher public score estimate, 53.66 versus 45.86, but the 90% score intervals overlap. Treat that as a lead, not a settled winner. 16 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

45.86/100

Supported · Public rank #110

90% interval 35.0–56.7

Model B
Alibaba logo

Alibaba

53.66/100

Supported · Public rank #74

90% interval 44.1–63.2

Shared results
16
Qwen3.5-35B-A3B only
4
Qwen3.6 Plus only
33
Like-for-like categories
3 / 8
Supported: Qwen3.5-35B-A3B and Qwen3.6 PlusHow 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 Plus

    Qwen3.6 Plus 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

    Qwen3.5-35B-A3B 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

    Qwen3.5-35B-A3B is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    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.

26.5Qwen3.5-35B-A3B40.5Qwen3.6 Plus

Directional only · BenchAlign v5.8

Qwen3.6 Plus 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.

3 categories rest 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.

Multimodal

Like-for-like
Qwen3.5-35B-A3B
64.6
#42/54
Qwen3.6 Plus
76.1
#21/54
Basis
Provisional lane · 2 vs 2 weighted rows
Reading
Qwen3.6 Plus leads

Knowledge

Like-for-like
Qwen3.5-35B-A3B
43.3
Supported · #103/180
Qwen3.6 Plus
53.1
Supported · #66/180
Basis
BenchAlign v5.8 lane · 3 vs 8 public rows
Reading
Qwen3.6 Plus leads · intervals overlap

Multilingual

Like-for-like
Qwen3.5-35B-A3B
83.8
#11/17
Qwen3.6 Plus
93.8
#4/17
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Qwen3.6 Plus leads

Agentic

Directional only
Qwen3.5-35B-A3B
33.1
Estimated · #80/123
Qwen3.6 Plus
33.5
Supported · #79/123
Basis
BenchAlign v5.8 lane · 4 vs 13 public rows
Reading
Directional only

Coding

Directional only
Qwen3.5-35B-A3B
26.5
Estimated · #101/148
Qwen3.6 Plus
40.5
Supported · #64/148
Basis
BenchAlign v5.8 lane · 4 vs 9 public rows
Reading
Directional only

Instruction following

Directional only
Qwen3.5-35B-A3B
88.8
#32/127
Qwen3.6 Plus
85.8
#45/127
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Directional only

Reasoning

Not comparable
Qwen3.5-35B-A3B
65.3
Unranked · 3 rankable rows
Qwen3.6 Plus
74.7
Unranked · 4 rankable rows
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Qwen3.5-35B-A3B
Not ranked
Qwen3.6 Plus
69.5
#6/12
Basis
Provisional lane · 0 vs 3 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

Qwen3.5-35B-A3B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.5-35B-A3B has no comparable published API token rate. Qwen3.6 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Qwen3.5-35B-A3B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.5-35B-A3B has no comparable published API token rate. Qwen3.6 Plus has no comparable published API token rate.

Cache-heavy agent loop

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

Qwen3.5-35B-A3B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Qwen3.6 Plus
API rate not published
Fits in one request
Cached-input rate unavailable

Qwen3.5-35B-A3B has no comparable published API token rate. Qwen3.6 Plus 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.

Qwen3.5-35B-A3B

262K

Qwen3.6 Plus

1M

API model ID

Qwen3.5-35B-A3B

Not sourced

Qwen3.6 Plus

Not sourced

Cached-input rate

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

Qwen3.5-35B-A3B

No comparable hosted API rate

Qwen3.6 Plus

No comparable hosted API rate

Documented inputs

Qwen3.5-35B-A3B

Not sourced

Qwen3.6 Plus

Not sourced

Documented outputs

Qwen3.5-35B-A3B

Not sourced

Qwen3.6 Plus

Not sourced

Provider availability

Qwen3.5-35B-A3B

Not sourced

Qwen3.6 Plus

Not sourced

Reasoning profile

Qwen3.5-35B-A3B

Reasoning

Qwen3.6 Plus

Reasoning

Weight access

Qwen3.5-35B-A3B

Open Weight

Qwen3.6 Plus

Proprietary

License

Qwen3.5-35B-A3B

Open Weight

Qwen3.6 Plus

Proprietary

Release date

Qwen3.5-35B-A3B

2026-03-04

Qwen3.6 Plus

2026-04-02

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
Qwen3.6 Plus has the higher public score estimate, 53.66 versus 45.86, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Qwen3.6 Plus has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Qwen3.5-35B-A3B or Qwen3.6 Plus?

Qwen3.6 Plus has the higher public score estimate, 53.66 versus 45.86, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Qwen3.5-35B-A3B or Qwen3.6 Plus?

Qwen3.6 Plus scores higher for coding on the public lane, 40.5 to 26.5. Qwen3.5-35B-A3B 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, Qwen3.5-35B-A3B or Qwen3.6 Plus?

Qwen3.6 Plus scores higher for agentic tasks on the public lane, 33.5 to 33.1. Qwen3.5-35B-A3B is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Qwen3.5-35B-A3B or Qwen3.6 Plus?

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, Qwen3.5-35B-A3B or Qwen3.6 Plus?

Qwen3.6 Plus has the larger documented context window: 1M, compared with 262K.

Benchmark evidence

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

Browse raw public benchmark evidence53 rows

Agentic

  • Terminal-Bench 2.0

    Qwen3.5-35B-A3B40.5%
    Source
    Qwen3.6 Plus61.6%
    Source

    Qwen3.6 Plus leads this result

  • BrowseComp

    Qwen3.5-35B-A3B61%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • OSWorld-Verified

    Qwen3.5-35B-A3B54.5%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • Qwen3.5-35B-A3B28.96%
    Qwen3.6 Plus50.60%

    Qwen3.6 Plus leads this result

  • Claw-Eval

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus58.8%
    Source

    Not directly comparable

  • QwenClawBench

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus57.2%
    Source

    Not directly comparable

  • τ³-bench results

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus70.7%
    Source

    Not directly comparable

  • VITA-Bench

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus44.3%
    Source

    Not directly comparable

  • DeepPlanning

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus41.5%
    Source

    Not directly comparable

  • Toolathlon

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus39.8%
    Source

    Not directly comparable

  • MCP Atlas

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus48.2%
    Source

    Not directly comparable

  • MCP-Tasks

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus74.1%
    Source

    Not directly comparable

  • WideResearch

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus74.3%
    Source

    Not directly comparable

  • ResearchClawBench

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus18.0%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus53.2%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Qwen3.5-35B-A3B69.2%
    Source
    Qwen3.6 Plus78.8%
    Source

    Qwen3.6 Plus leads this result

  • LiveCodeBench v6

    Qwen3.5-35B-A3B74.6%
    Source
    Qwen3.6 Plus87.1%
    Source

    Qwen3.6 Plus leads this result

  • SWE-Rebench

    Qwen3.5-35B-A3B53.7%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • Terminal-Bench 2.0

    Qwen3.5-35B-A3B40.5%
    Source
    Qwen3.6 Plus61.6%
    Source

    Qwen3.6 Plus leads this result

  • SWE-bench Pro

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus56.6%
    Source

    Not directly comparable

  • SWE Multilingual

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus73.8%
    Source

    Not directly comparable

  • NL2Repo

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus37.9%
    Source

    Not directly comparable

  • Vibe Code Bench

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus25.56%
    Source

    Not directly comparable

  • LiveCodeBench (Vals)

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus86.0%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus73.4%
    Source

    Not directly comparable

Reasoning

  • LongBench v2

    Qwen3.5-35B-A3B59%
    Source
    Qwen3.6 Plus62%
    Source

    Qwen3.6 Plus leads this result

  • AI-Needle

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus68.3%
    Source

    Not directly comparable

Multimodal

  • MMMU

    Qwen3.5-35B-A3B81.4%
    Source
    Qwen3.6 Plus86.0%
    Source

    Qwen3.6 Plus leads this result

  • MMVU

    Qwen3.5-35B-A3B72.3%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • MMMU-Pro

    Qwen3.5-35B-A3B75.1%
    Source
    Qwen3.6 Plus78.8%
    Source

    Qwen3.6 Plus leads this result

  • CharXiv

    Qwen3.5-35B-A3B77.5%
    Source
    Qwen3.6 Plus81.5%
    Source

    Qwen3.6 Plus leads this result

  • MathVision

    Qwen3.5-35B-A3B83.9%
    Source
    Qwen3.6 Plus88.0%
    Source

    Qwen3.6 Plus leads this result

  • V*

    Qwen3.5-35B-A3B92.7%
    Source
    Qwen3.6 Plus96.9%
    Source

    Qwen3.6 Plus leads this result

  • VideoMMMU

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus84.0%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus68.2%
    Source

    Not directly comparable

Knowledge

  • MMLU-Pro

    Qwen3.5-35B-A3B85.3%
    Source
    Qwen3.6 Plus88.5%
    Source

    Qwen3.6 Plus leads this result

  • SuperGPQA

    Qwen3.5-35B-A3B63.4%
    Source
    Qwen3.6 Plus71.6%
    Source

    Qwen3.6 Plus leads this result

  • GPQA

    Qwen3.5-35B-A3B84.2%
    Source
    Qwen3.6 Plus90.4%
    Source

    Qwen3.6 Plus leads this result

  • MMLU-Redux

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus94.5%
    Source

    Not directly comparable

  • C-Eval

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus93.3%
    Source

    Not directly comparable

  • HLE

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus28.8%
    Source

    Not directly comparable

  • GPQA Diamond (Vals)

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus87.4%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus87.7%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Qwen3.5-35B-A3B81%
    Source
    Qwen3.6 Plus84.7%
    Source

    Qwen3.6 Plus leads this result

  • NOVA-63

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus57.9%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Qwen3.5-35B-A3B91.9%
    Source
    Qwen3.6 Plus94.3%
    Source

    Qwen3.6 Plus leads this result

  • IFBench

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus75.8%
    Source

    Not directly comparable

Math

  • AIME26

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus95.3%
    Source

    Not directly comparable

  • HMMT Feb 2025

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus96.7%
    Source

    Not directly comparable

  • HMMT Nov 2025

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus94.6%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus87.8%
    Source

    Not directly comparable

  • MMAnswerBench

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus83.8%
    Source

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Qwen3.5-35B-A3B—
    Qwen3.6 Plus38.246%
    Source

    Not directly comparable

53 public results · 16 shared

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Last updated October 13, 2026