Qwen3 Next 80B A3B Thinking

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

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

LLMCompare cannot run Qwen3 Next 80B A3B Thinking 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 Thinking at a glance

Context length
262,144 tokens
Maximum output
235,929 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 Thinking pricing by route

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

Prices of Qwen3 Next 80B A3B Thinking on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.15$1.20openrouter.ai/qwen/qwen3-next-80b-a3b-thinking

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 Thinking costs. The starting numbers are examples. Change them to match your task.

Cost per call
$0.00075
1 credits
Cost of 100 calls
$0.075
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 Thinking
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 235,929Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About Qwen3 Next 80B A3B Thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...

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

Models to compare with Qwen3 Next 80B A3B Thinking

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 Thinking
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Qwen3.6 FlashQwenqwen/qwen3.6-flash1M65.5k$0.1875$1.13JSONToolsVisionNo route yet
Qwen3.8 27BQwenqwen/qwen3.8-27b1M65.5k$0.04$1.35ReasoningJSONToolsCacheVisionNo route yet
Qwen3 Coder 480B A35BQwenqwen/qwen3-coder262k65.5k$0.30$1.00JSONToolsCacheNo route yet
Step 3.7 FlashStepFunstepfun/step-3.7-flash262k230k$0.20$1.15ReasoningJSONToolsCacheVisionNo route yet
Skyfall 36B V2TheDrummerthedrummer/skyfall-36b-v232.8k29.5k$0.55$0.80JSONCacheNo route yet
MiMo-V2.6-ProXiaomixiaomi/mimo-v2.6-pro1.05M131k$0.435$0.87JSONToolsCacheVisionNo route yet

Questions about Qwen3 Next 80B A3B Thinking

How much does Qwen3 Next 80B A3B Thinking cost?
On the OpenRouter route, Qwen3 Next 80B A3B Thinking costs $0.15 per 1 million input tokens and $1.20 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 Thinking?
Qwen3 Next 80B A3B Thinking has a context length of 262,144 tokens and returns up to 235,929 output tokens in one call.
What inputs does Qwen3 Next 80B A3B Thinking accept?
Qwen3 Next 80B A3B Thinking accepts these inputs: Text. Qwen3 Next 80B A3B Thinking returns: Text.
Can I test Qwen3 Next 80B A3B Thinking on my own data?
Not yet. LLMCompare lists the prices and parameters of Qwen3 Next 80B A3B Thinking, but no route to Qwen3 Next 80B A3B Thinking is configured on LLMCompare, so it cannot be selected for an evaluation.