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Qwen: Qwen3 235B A22B Thinking 2507

qwen/qwen3-235b-a22b-thinking-2507

Qwen: Qwen3 235B A22B Thinking 2507 is a 128,000-token model served on Composite at $0.563 per million tokens in and $4.38 per million tokens out.

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Specifications

Specifications and pricing as served by Composite
Model IDqwen/qwen3-235b-a22b-thinking-2507
Providercv11
Context window128,000 tokens
Acceptstext
Returnstext
Input price$0.563 per million tokens
Output price$4.38 per million tokens
Prompt cachingNot offered for this model
ThinkingAlways on for this model
ModeratedNo
Cost on a monthly planAbout 7.1 plan credits per typical call (8k in, 1k out)
Routing endpoints2 (base plus 1 routing variant)

Measured on Composite

This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.

Routing variants

The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.

RouteModel IDProviderPrice
cheapThink qwen/qwen3-235b-a22b-thinking-2507:cheapThink cv11 $0.563 per million tokens input · $4.38 per million tokens output

Pricing

$0.563 per million tokens input · $4.38 per million tokens output

Credits pay the provider’s price plus 25%; cache hits cost less.

On a monthly plan, a typical call (8k tokens in, 1k out) uses about 7.1 plan credits, at the provider's own price.

Provider

cv11

Roleplay fit

Qwen models pair large context windows with solid multilingual ability, useful for roleplay that switches languages or references long lore documents.

Context behavior

With a 128,000-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.

Cost for regular use

It sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.

From the provider

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

Supplied by cv11, not written by Composite.