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

Updated September 27, 2026. Rank says Qwen3.5 Flash is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Qwen3.5 Flash

Alibaba

45.49/100

Estimated · Public rank #93

90% interval 36.4–54.6

Model B

Qwen3.6-35B-A3B

Alibaba

41.88/100

Estimated · Public rank #107

90% interval 33.5–50.2

Shared results: 0
Qwen3.5 Flash only: 6
Qwen3.6-35B-A3B only: 41
Like-for-like categories: 0 / 8

Estimated: Qwen3.5 Flash and Qwen3.6-35B-A3BHow 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
Qwen3.5 Flash
Qwen3.5 Flash 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 Flash and Qwen3.6-35B-A3B are 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 Flash 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: rate-fallback
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.

Pick the job you would use them for

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 Flash36.4Qwen3.6-35B-A3B

Directional only · BenchAlign v5.7

Qwen3.6-35B-A3B scores higher, but at least one score rests on Estimated evidence or a different benchmark set. Directional only, no winner.

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

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

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.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.7 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 Flash: 26.5; Estimated · #97/135
Qwen3.6-35B-A3B: 36.4; Estimated · #68/135
Basis: BenchAlign v5.7 lane · 2 vs 6 public rows
Reading: Directional only

Knowledge

Directional only

Qwen3.5 Flash: 43.0; Estimated · #80/158
Qwen3.6-35B-A3B: 42.1; Estimated · #82/158
Basis: BenchAlign v5.7 lane · 2 vs 5 public rows
Reading: Directional only

Agentic

Not comparable

Qwen3.5 Flash: Not ranked
Qwen3.6-35B-A3B: 29.6; Estimated · #67/105
Basis: BenchAlign v5.7 lane · 0 vs 11 public rows
Reading: Not comparable

Reasoning

Not comparable

Qwen3.5 Flash: Not ranked
Qwen3.6-35B-A3B: 71.4; Unranked · 2 rankable rows
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Multimodal

Not comparable

Qwen3.5 Flash: Not ranked
Qwen3.6-35B-A3B: 50.0; #39/50
Basis: Provisional lane · 0 vs 2 weighted rows
Reading: Not comparable

Multilingual

Not comparable

Qwen3.5 Flash: Not ranked
Qwen3.6-35B-A3B: Not ranked
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Instruction following

Not comparable

Qwen3.5 Flash: Not ranked
Qwen3.6-35B-A3B: 76.8; #57/124
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Math

Not comparable

Qwen3.5 Flash: 28.4; Unranked · 2 rankable rows
Qwen3.6-35B-A3B: 70.7; Unranked · 5 rankable rows
Basis: Provisional lane · 2 vs 2 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Qwen3.5 Flash and Qwen3.6-35B-A3B
Category	Qwen3.5 Flash	Qwen3.6-35B-A3B	Basis	Reading
Coding	26.5Estimated · #97/135	36.4Estimated · #68/135	Directional onlyBenchAlign v5.7 lane · 2 vs 6 public rows	Directional only
Knowledge	43.0Estimated · #80/158	42.1Estimated · #82/158	Directional onlyBenchAlign v5.7 lane · 2 vs 5 public rows	Directional only
Agentic	Not ranked	29.6Estimated · #67/105	Not comparableBenchAlign v5.7 lane · 0 vs 11 public rows	Not comparable
Reasoning	Not ranked	71.4Unranked · 2 rankable rows	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Multimodal	Not ranked	50.0#39/50	Not comparableProvisional lane · 0 vs 2 weighted rows	Not comparable
Multilingual	Not ranked	Not ranked	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Instruction following	Not ranked	76.8#57/124	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Math	28.4Unranked · 2 rankable rows	70.7Unranked · 5 rankable rows	Not comparableProvisional lane · 2 vs 2 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) 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.

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 Flash: $0.0003; Fits in one request
Qwen3.6-35B-A3B: API rate not published; Fits in one request

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

Repository review

50K fresh input + 3K output tokens

Qwen3.5 Flash: $0.0062; Fits in one request
Qwen3.6-35B-A3B: API rate not published; Fits in one request

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

Cache-heavy agent loop

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

Qwen3.5 Flash: $0.026; Fits in one request; Cached input priced at the published list-input rate
Qwen3.6-35B-A3B: API rate not published; Fits in one request; Cached-input rate unavailable

Qwen3.5 Flash has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.6-35B-A3B 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.

SpecificationQwen3.5 FlashQwen3.6-35B-A3B

Context window

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

Qwen3.5 Flash

Qwen3.6-35B-A3B

262K

API model ID

Qwen3.5 Flash

Not sourced

Qwen3.6-35B-A3B

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 Flash

Not published

Qwen3.6-35B-A3B

No comparable hosted API rate

Documented inputs

Qwen3.5 Flash

Not sourced

Qwen3.6-35B-A3B

Not sourced

Documented outputs

Qwen3.5 Flash

Not sourced

Qwen3.6-35B-A3B

Not sourced

Provider availability

Qwen3.5 Flash

Not sourced

Qwen3.6-35B-A3B

Not sourced

Reasoning profile

Qwen3.5 Flash

Reasoning

Qwen3.6-35B-A3B

Reasoning

Weight access

Qwen3.5 Flash

Proprietary

Qwen3.6-35B-A3B

Open Weight

License

Qwen3.5 Flash

Proprietary

Qwen3.6-35B-A3B

Open Weight

Release date

Qwen3.5 Flash

2026-03-04

Qwen3.6-35B-A3B

2026-04-15

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: The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Qwen3.5 Flash has the larger documented window (1M).

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

Questions

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

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

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

Qwen3.6-35B-A3B scores higher for coding on the public lane, 36.4 to 26.5. Qwen3.5 Flash and Qwen3.6-35B-A3B are 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 Flash or Qwen3.6-35B-A3B?

Qwen3.5 Flash is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

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

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 Flash or Qwen3.6-35B-A3B?

Qwen3.5 Flash 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 evidence47 rows

Agentic

Terminal-Bench 2.0
Qwen3.5 Flash—
Qwen3.6-35B-A3B51.5%
Source
Not directly comparable
Claw-Eval
Qwen3.5 Flash—
Qwen3.6-35B-A3B68.7%
Source
Not directly comparable
QwenClawBench
Qwen3.5 Flash—
Qwen3.6-35B-A3B52.6%
Source
Not directly comparable
QwenWebBench
Qwen3.5 Flash—
Qwen3.6-35B-A3B1397
Source
Not directly comparable
τ³-bench results
Qwen3.5 Flash—
Qwen3.6-35B-A3B67.2%
Source
Not directly comparable
VITA-Bench
Qwen3.5 Flash—
Qwen3.6-35B-A3B35.6%
Source
Not directly comparable
DeepPlanning
Qwen3.5 Flash—
Qwen3.6-35B-A3B25.9%
Source
Not directly comparable
Toolathlon
Qwen3.5 Flash—
Qwen3.6-35B-A3B26.9%
Source
Not directly comparable
MCP Atlas
Qwen3.5 Flash—
Qwen3.6-35B-A3B62.8%
Source
Not directly comparable
WideResearch
Qwen3.5 Flash—
Qwen3.6-35B-A3B60.1%
Source
Not directly comparable
Gert Labs
Qwen3.5 Flash—
Qwen3.6-35B-A3B42.65%
Source
Not directly comparable

Coding

LiveCodeBench (Vals)
Qwen3.5 Flash83.3%
Source
Qwen3.6-35B-A3B—
Not directly comparable
SWE-bench (Vals)
Qwen3.5 Flash64.4%
Source
Qwen3.6-35B-A3B—
Not directly comparable
SWE-bench Verified
Qwen3.5 Flash—
Qwen3.6-35B-A3B73.4%
Source
Not directly comparable
SWE Multilingual
Qwen3.5 Flash—
Qwen3.6-35B-A3B67.2%
Source
Not directly comparable
SWE-bench Pro
Qwen3.5 Flash—
Qwen3.6-35B-A3B49.5%
Source
Not directly comparable
Terminal-Bench 2.0
Qwen3.5 Flash—
Qwen3.6-35B-A3B51.5%
Source
Not directly comparable
LiveCodeBench
Qwen3.5 Flash—
Qwen3.6-35B-A3B80.4%
Source
Not directly comparable
NL2Repo
Qwen3.5 Flash—
Qwen3.6-35B-A3B29.4%
Source
Not directly comparable

Multimodal

MMMU
Qwen3.5 Flash—
Qwen3.6-35B-A3B81.7%
Source
Not directly comparable
MMMU-Pro
Qwen3.5 Flash—
Qwen3.6-35B-A3B75.3%
Source
Not directly comparable
RealWorldQA
Qwen3.5 Flash—
Qwen3.6-35B-A3B85.3%
Source
Not directly comparable
OmniDocBench 1.5
Qwen3.5 Flash—
Qwen3.6-35B-A3B89.9%
Source
Not directly comparable
CharXiv
Qwen3.5 Flash—
Qwen3.6-35B-A3B78%
Source
Not directly comparable
SimpleVQA
Qwen3.5 Flash—
Qwen3.6-35B-A3B58.9%
Source
Not directly comparable
CC-OCR
Qwen3.5 Flash—
Qwen3.6-35B-A3B81.9%
Source
Not directly comparable
AI2D_TEST
Qwen3.5 Flash—
Qwen3.6-35B-A3B92.7%
Source
Not directly comparable
RefCOCO (avg)
Qwen3.5 Flash—
Qwen3.6-35B-A3B92.0%
Source
Not directly comparable
ODINW13
Qwen3.5 Flash—
Qwen3.6-35B-A3B50.8%
Source
Not directly comparable
Video-MME (with subtitle)
Qwen3.5 Flash—
Qwen3.6-35B-A3B86.6%
Source
Not directly comparable
Video-MME (w/o subtitle)
Qwen3.5 Flash—
Qwen3.6-35B-A3B82.5%
Source
Not directly comparable
VideoMMMU
Qwen3.5 Flash—
Qwen3.6-35B-A3B83.7%
Source
Not directly comparable
MLVU (M-Avg)
Qwen3.5 Flash—
Qwen3.6-35B-A3B86.2%
Source
Not directly comparable

Knowledge

GPQA Diamond (Vals)
Qwen3.5 Flash82.8%
Source
Qwen3.6-35B-A3B—
Not directly comparable
MMLU-Pro (Vals)
Qwen3.5 Flash84.1%
Source
Qwen3.6-35B-A3B—
Not directly comparable
MMLU-Pro
Qwen3.5 Flash—
Qwen3.6-35B-A3B85.2%
Source
Not directly comparable
SuperGPQA
Qwen3.5 Flash—
Qwen3.6-35B-A3B64.7%
Source
Not directly comparable
C-Eval
Qwen3.5 Flash—
Qwen3.6-35B-A3B90%
Source
Not directly comparable
GPQA
Qwen3.5 Flash—
Qwen3.6-35B-A3B86%
Source
Not directly comparable
HLE
Qwen3.5 Flash—
Qwen3.6-35B-A3B21.4%
Source
Not directly comparable

Math

FrontierMath v2 (Tiers 1-3)
Qwen3.5 Flash6.207%
Source
Qwen3.6-35B-A3B—
Not directly comparable
FrontierMath v2 (Tier 4)
Qwen3.5 Flash0.000%
Source
Qwen3.6-35B-A3B—
Not directly comparable
HMMT Feb 2025
Qwen3.5 Flash—
Qwen3.6-35B-A3B90.7%
Source
Not directly comparable
HMMT Nov 2025
Qwen3.5 Flash—
Qwen3.6-35B-A3B89.1%
Source
Not directly comparable
HMMT Feb 2026
Qwen3.5 Flash—
Qwen3.6-35B-A3B83.6%
Source
Not directly comparable
MMAnswerBench
Qwen3.5 Flash—
Qwen3.6-35B-A3B78.9%
Source
Not directly comparable
AIME26
Qwen3.5 Flash—
Qwen3.6-35B-A3B92.7%
Source
Not directly comparable

47 public results · 0 shared

Related comparisons

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Last updated September 27, 2026

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

Decision reading

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Coding

Knowledge

Agentic

Reasoning

Multimodal

Multilingual

Instruction following

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

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

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

Which is better for agentic tasks, Qwen3.5 Flash or Qwen3.6-35B-A3B?

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

Which has the larger context window, Qwen3.5 Flash or Qwen3.6-35B-A3B?

Benchmark evidence

Agentic

Coding

Multimodal

Knowledge

Math

Related comparisons

Watch Qwen3.5 Flash vs Qwen3.6-35B-A3B