Qwen3 Next 80B A3B Thinking
qwen3-next-80b-a3b-thinkingQwen3-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... Built by Qwen.
Prices updated
Input price
$0.15
per 1M tokens · Standard
Output price
$1.20
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
33K
tokens
Input formats
Output formats
Qwen3 Next 80B A3B Thinking price history
2 price records since 9/25/2026
Qwen3 Next 80B A3B Thinking cost calculator
$9.00/month
Standard pricing
Overview
What is Qwen3 Next 80B A3B Thinking?
Qwen3 Next 80B A3B Thinking is a text & reasoning model from Qwen. 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... Its 262K context window and $0.15 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
Qwen3 Next 80B A3B Thinking pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.15
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Qwen3 Next 80B A3B Thinking Tools
Tools available when using Qwen3 Next 80B A3B Thinking through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.15 per million tokens suits high-volume workloads.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 8× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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