QwenQwen3.5 35B A3B

External Link

Qwen3.5-35B-A3B is an open-weight vision-language model published by Qwen.

Token context
262K tokens
Inputs
Text, Image
Outputs
Text
Released
Not reported

Benchmark Market Position

Intelligence, Cost, and Efficiency

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Cost

Not ranked in current cohort

Cost not rankedPublished LiveBench output tokens and a current USD output rate are both required.
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Efficiency

Not ranked in current cohort

Efficiency not rankedBoth an eligible intelligence score and a comparable cost estimate are required.
* Provisional: fewer than 3 sources
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The orange outline marks Qwen3.5 35B A3B. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.14$1.00$0.050—Oct 19, 2026Provider-reported
$0.15$1.00$0.050—Oct 19, 2026Provider-reported
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,394.73rating—30,457qwen3.5-35b-a3b; 95% CI [1390.52780278, 1398.93686884]; votes 30457; rank 161unknownOriginal sourcewinner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
Qwen/Qwen3.5-35B-A3B
Released
Not reported
Version
Qwen3.5-35B-A3B
License
apache-2.0

Capacity

Token context
262K tokens
Maximum output
Unknown
Total parameters
36B
Active parameters
3B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
Yes
Vision
Yes
Tool calling
Yes
Capabilities
chat, generation, reasoning, tools

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
AliasesQwen/Qwen3.5-35B-A3B, Qwen/Qwen3.5-35B-A3B

Explicit Unknowns

  • Release date
  • Maximum output
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

Comparable Peers

Related Model Comparisons

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Questions

Qwen3.5 35B A3B FAQs

What is Qwen3.5 35B A3B?+

Qwen3.5-35B-A3B is an open-weight vision-language model published by Qwen. It is developed by Qwen and its current sourced lifecycle status is active.

What inputs and outputs does Qwen3.5 35B A3B support?+

Qwen3.5 35B A3B's current record lists Text and Image as input and Text as output.

How much context does Qwen3.5 35B A3B support?+

The current record lists a 262K-token context window and does not report a maximum output length.

Is Qwen3.5 35B A3B available through an API?+

Qwen3.5 35B A3B is marked as API-available. The directly sourced provider records currently include Deepinfra, Hugging Face, Openrouter, and Together Ai.

How large is Qwen3.5 35B A3B?+

The current record lists 36B total parameters and 3B active parameters. Its architecture is Qwen3_5MoeForConditionalGeneration.

What capabilities and tasks does Qwen3.5 35B A3B support?+

Qwen3.5 35B A3B's recorded capabilities are chat, generation, reasoning, and tools. Its supported tasks are image and text.

How much does Qwen3.5 35B A3B cost through an API?+

The lowest directly sourced prices currently attached to Qwen3.5 35B A3B are $0.14 per million input tokens through Deepinfra and $1.00 per million output tokens through Deepinfra. Prices are provider-specific and should be checked against each cited observation date.

Can Qwen3.5 35B A3B be self-hosted?+

Qwen3.5 35B A3B is an open-weight model. Self-hosting is supported, and the recorded license is apache-2.0.

Does Qwen3.5 35B A3B have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are Qwen/Qwen3.5-35B-A3B.

Which models can Qwen3.5 35B A3B be compared with?+

The current compatible peer set includes Qwen3.8 27B, Gemma 4 31B, Ministral 3 14B Reasoning 2512, Ministral 3 3B Instruct 2512, and Ministral 3 3B Reasoning 2512. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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