Qwen3 Next 80B A3B Instruct
qwen3-next-80b-a3b-instructQwen3-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... Built by Qwen.
Prices updated
Input price
$0.15
per 1M tokens · Standard
Output price
$1.50
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
236K
tokens
Input formats
Output formats
Qwen3 Next 80B A3B Instruct price history
4 price records since 9/25/2026 · 2 changes
Qwen3 Next 80B A3B Instruct cost calculator
$11/month
Standard pricing
Overview
What is Qwen3 Next 80B A3B Instruct?
Qwen3 Next 80B A3B Instruct is a text & reasoning model from Qwen. 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... Its 262K context window and $0.15 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Qwen3 Next 80B A3B Instruct benchmarks & speed
How Qwen3 Next 80B A3B Instruct scores on standardized evaluations, and where it lands among every model we track.
9.6
Intelligence Index
179tok/s
Output speed
Reasoning
GPQA Diamond
73.8%
Graduate-level scientific reasoning · top 65%
HLE
7.6%
Humanity's Last Exam · top 68%
Latency & design
- Time to first token
- 2.17s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Qwen3 Next 80B A3B Instruct 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
$0.07
Per 1M tokens
Capabilities
Qwen3 Next 80B A3B Instruct Tools
Tools available when using Qwen3 Next 80B A3B Instruct through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
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 10× 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.
Same provider