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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 use, while remaining robust on alignment and formatting. Compared with prior Qwen3 instruct variants, it focuses on higher throughput and stability on ultra-long inputs and multi-turn dialogues, making it well-suited for RAG, tool use, and agentic workflows that require consistent final answers rather than visible chain-of-thought. The model employs scaling-efficient training and decoding to improve parameter efficiency and inference speed, and has been validated on a broad set of public benchmarks where it reaches or approaches larger Qwen3 systems in several categories while outperforming earlier mid-sized baselines. It is best used as a general assistant, code helper, and long-context task solver in production settings where deterministic, instruction-following outputs are preferred.
Quality Index
20.1
185th of 442
Top 42%
Coding Index
15.3
191st of 352
Top 54%
Math Index
66.3
103rd of 268
Top 39%
Price/1M
$0.88
465th cheapest
182% above median
Top 69%
Speed
172 tok/s
Top 10%
TTFT
0.97s
Context Window
262K
61st largest
Top 25%
Input
$0.50
per 1M tokens
Output
$2.00
per 1M tokens
Blended
$0.88
per 1M tokens
Cheaper than 31% of models. Median price is $0.31/1M tokens.
Daily
$0.88
Monthly
$26.25
172
tokens/sec
Faster than 90% of models
0.97
seconds
Faster than 31% of models
0.97
seconds
Faster than 39% of models
Market Median
46 tok/s
277% faster
Median TTFT
0.42s
133% slower
Throughput/Dollar
197
tok/s per $/1M
Speed Comparison
Context Window
262K
tokens
Larger than 75% of models
885.2K
950
Multi-GPU
8x A100 / H100