alibaba

Qwen3 Next 80B A3B Thinking

text inputtext outputlanguageGateway catalog

Use an endpoint supported by this model.

Get a key for this setup →
const response = await fetch('https://api.minirouter.sh/v1/chat/completions', {  method: 'POST',  headers: {    Authorization: `Bearer ${process.env.MINIROUTER_KEY}`,    'Content-Type': 'application/json',  },  body: JSON.stringify({    model: 'alibaba/qwen3-next-80b-a3b-thinking',    messages: [{ role: 'user', content: 'Why is the sky blue?' }],    max_tokens: 1024,  }),}) const data = await response.json()console.log(data.choices[0].message.content)
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Input / 1M
$0.1575
Output / 1M
$1.26
Context
262K
Max output
262K
Overview

Overview

Qwen3-Next uses a highly sparse MoE design: 80B total parameters, but only ~3B activated per inference step. Experiments show that, with global load balancing, increasing total expert parameters while keeping activated experts fixed steadily reduces training loss.Compared to Qwen3’s MoE (128 total experts, 8 routed), Qwen3-Next expands to 512 total experts, combining 10 routed experts + 1 shared expert — maximizing resource usage without hurting performance. The Qwen3-Next-80B-A3B-Thinking excels at complex reasoning tasks — outperforming higher-cost models like Qwen3-30B-A3B-Thinking-2507 and Qwen3-32B-Thinking, outpeforming the closed-source Gemini-2.5-Flash-Thinking on multiple benchmarks, and approaching the performance of our top-tier model Qwen3-235B-A22B-Thinking-2507. MiniRouter supports text input only.
Model type
language
Context window
262,144
Maximum output
262,144
Input / 1M tokens
$0.1575
Output / 1M tokens
$1.26
Released
2025-09-11

Prices include the MiniRouter fee. Compatibility snapshot: 2026-08-06. Input: text. Output: text.

Endpoints

Endpoints

Platform-funded routing only. Caller BYOK credentials and OIDC-based upstream authentication are intentionally excluded; authenticate with a MiniRouter bearer key.
Paths
/v1/chat/completions/v1/messages/v1/responses
Structured output

Not enforced; a requested format is dropped and the answer is plain text. How it works

Captured parameters: max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoning.

API

API

Switch between Chat Completions, Messages and client configurations in the setup panel. Every snippet keeps the model ID unchanged.
Base URLhttps://api.minirouter.sh/v1
Model IDalibaba/qwen3-next-80b-a3b-thinking
Providers

Providers

MiniRouter selects from the configured routes below. Priority is the catalog order, not a latency or availability score.
ProviderPriorityInput / 1MOutput / 1MParametersAccess
vercel
1$0.1575$1.26max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoningMiniRouter balance

Every model, one key.