Qwen3 Next 80B A3B Instruct

by Qwenqwen/qwen3-next-80b-a3b-instruct

  • Text
  • No route yet
  • Released
  • Knowledge cutoff 30 September 2025

LLMCompare cannot run Qwen3 Next 80B A3B Instruct yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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Qwen3 Next 80B A3B Instruct at a glance

Context length
262,144 tokens
Maximum output
16,384 tokens
Accepts
Text
Returns
Text
Features
JSON outputTool calling
Reasoning effort levels
Not supported
Released
11 Sep 2025
Knowledge cutoff
30 September 2025

Model facts synced from the OpenRouter model list on 21 Oct 2026.

Qwen3 Next 80B A3B Instruct pricing by route

A route is the service LLMCompare calls to reach the model. Qwen3 Next 80B A3B Instruct has 1 route. Prices are in US dollars.

Prices of Qwen3 Next 80B A3B Instruct on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.09$1.10openrouter.ai/qwen/qwen3-next-80b-a3b-instruct

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to Qwen3 Next 80B A3B Instruct costs. The starting numbers are examples. Change them to match your task.

Cost per call
$0.00064
1 credits
Cost of 100 calls
$0.064
100 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of Qwen3 Next 80B A3B Instruct
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 16,384Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About Qwen3 Next 80B A3B Instruct

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...

Description as published for this model. LLMCompare has not edited it.

Models to compare with Qwen3 Next 80B A3B Instruct

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with Qwen3 Next 80B A3B Instruct
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Qwen3 Coder FlashQwenqwen/qwen3-coder-flash1M65.5k$0.195$0.975JSONToolsCacheNo route yet
Qwen3.5-35B-A3BQwenqwen/qwen3.5-35b-a3b262k81.9k$0.14$1.00JSONToolsCacheVisionNo route yet
Qwen3 VL 30B A3B ThinkingQwenqwen/qwen3-vl-30b-a3b-thinking262k236k$0.29$1.00JSONToolsVisionNo route yet
GLM 4.6VZ.aiz-ai/glm-4.6v131k32.8k$0.30$0.90JSONToolsCacheVisionNo route yet
DeepSeek V3.1DeepSeekdeepseek/deepseek-chat-v3.1164k32.8k$0.25$0.95JSONToolsCacheNo route yet
Codestral 2508Mistralmistralai/codestral-2508256k205k$0.30$0.90JSONToolsCacheNo route yet

Questions about Qwen3 Next 80B A3B Instruct

How much does Qwen3 Next 80B A3B Instruct cost?
On the OpenRouter route, Qwen3 Next 80B A3B Instruct costs $0.09 per 1 million input tokens and $1.10 per 1 million output tokens, in US dollars. LLMCompare verified this price on 21 Oct 2026.
What is the context length of Qwen3 Next 80B A3B Instruct?
Qwen3 Next 80B A3B Instruct has a context length of 262,144 tokens and returns up to 16,384 output tokens in one call.
What inputs does Qwen3 Next 80B A3B Instruct accept?
Qwen3 Next 80B A3B Instruct accepts these inputs: Text. Qwen3 Next 80B A3B Instruct returns: Text.
Can I test Qwen3 Next 80B A3B Instruct on my own data?
Not yet. LLMCompare lists the prices and parameters of Qwen3 Next 80B A3B Instruct, but no route to Qwen3 Next 80B A3B Instruct is configured on LLMCompare, so it cannot be selected for an evaluation.