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Qwen: Qwen3 Next 80B A3B Instruct

qwen/qwen3-next-80b-a3b-instruct

Qwen: Qwen3 Next 80B A3B Instruct is a 262,144-token model served on Composite at $0.0900 per million tokens in and $1.10 per million tokens out.

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Specifications

Specifications and pricing as served by Composite
Model IDqwen/qwen3-next-80b-a3b-instruct
ProviderDeepInfra
Context window262,144 tokens
Acceptstext
Returnstext
Input price$0.0900 per million tokens
Output price$1.10 per million tokens
Prompt cachingNot offered for this model
ModeratedNo
Cost on a monthly planAbout 1.5 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-next-80b-a3b-instruct:cheapThink DeepInfra $0.0900 per million tokens input · $1.10 per million tokens output

Pricing

$0.0900 per million tokens input · $1.10 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 1.5 plan credits, at the provider's own price.

Provider

DeepInfra

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 262,144-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 is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.

From the provider

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...

Supplied by DeepInfra, not written by Composite.