Author's Description
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 planning, and reports strong results across knowledge, reasoning, coding, alignment, and multilingual evaluations. Compared with prior Qwen3 variants, it emphasizes stability under long chains of thought and efficient scaling during inference, and it is tuned to follow complex instructions while reducing repetitive or off-task behavior. The model is suitable for agent frameworks and tool use (function calling), retrieval-heavy workflows, and standardized benchmarking where step-by-step solutions are required. It supports long, detailed completions and leverages throughput-oriented techniques (e.g., multi-token prediction) for faster generation. Note that it operates in thinking-only mode.
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
Qwen3-Next-80B-A3B-Thinking, created on September 11, 2025, is a reasoning-first chat model designed for complex multi-step problems. It operates in a thinking-only mode, outputting structured "thinking" traces by default, making it highly suitable for agent frameworks, tool use, and retrieval-heavy workflows. The model exhibits exceptional reliability, achieving a 100% success rate across all benchmarks, indicating consistent and usable responses. However, it tends to have longer response times, ranking in the 8th percentile for speed, and is positioned at premium pricing levels, ranking in the 5th percentile for cost. In terms of performance, Qwen3-Next-80B-A3B-Thinking demonstrates significant strengths in specialized areas. It achieves outstanding accuracy in Coding (94.9%), Reasoning (96.0%), and Ethics (100%), with the Ethics benchmark highlighting it as the most accurate model at its price point and among models of similar speed. Its General Knowledge (99.5%) and Email Classification (99.0%) capabilities are also strong. A notable weakness is its Instruction Following, where it scored only 14.7% accuracy, indicating challenges with highly complex, multi-layered instructions despite its design for structured thinking. This suggests that while it excels at generating detailed thought processes, translating those into precise, multi-faceted instruction adherence remains an area for improvement.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.5 |
Completion | $6 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Alibaba
|
Alibaba | qwen/qwen3-next-80b-a3b-thinking-2509 | 262K | $0.5 / 1M tokens | $6 / 1M tokens |
Novita
|
Novita | qwen/qwen3-next-80b-a3b-thinking-2509 | 65K | $0.15 / 1M tokens | $1.5 / 1M tokens |
Chutes
|
Chutes | qwen/qwen3-next-80b-a3b-thinking-2509 | 262K | $0.147 / 1M tokens | $0.587 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
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Other Models by qwen
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Qwen: Qwen3 Next 80B A3B Instruct | Sep 11, 2025 | 80B | 262K |
Text input
Text output
|
★★★★ | ★★★★ | $$$$ |
Qwen: Qwen Plus 0728 | Sep 08, 2025 | ~20B | 1M |
Text input
Text output
|
★★★★★ | ★★ | $$$ |
Qwen: Qwen3 Max | Sep 05, 2025 | — | 256K |
Text input
Text output
|
★★★★ | ★★★★★ | $$$$ |
Qwen: Qwen3 30B A3B Thinking 2507 | Aug 28, 2025 | 30B | 262K |
Text input
Text output
|
★★ | ★★★ | $$$$ |
Qwen: Qwen3 Coder 30B A3B Instruct | Jul 31, 2025 | 30B | 262K |
Text input
Text output
|
★★★★ | ★★ | $$ |
Qwen: Qwen3 30B A3B Instruct 2507 | Jul 29, 2025 | 30B | 131K |
Text input
Text output
|
★★★★ | ★★★ | $$$ |
Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Coder 480B A35B | Jul 22, 2025 | 480B | 1M |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
Text input
Text output
|
★★ | ★★★ | $$$ |
Qwen: Qwen3 30B A3B | Apr 28, 2025 | 30B | 40K |
Text input
Text output
|
★ | ★★★★★ | $$$ |
Qwen: Qwen3 8B | Apr 28, 2025 | 8B | 128K |
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Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 14B | Apr 28, 2025 | 14B | 40K |
Text input
Text output
|
★★ | ★★★★★ | $$$ |
Qwen: Qwen3 32B | Apr 28, 2025 | 32B | 40K |
Text input
Text output
|
★ | ★★★★ | $$$ |
Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
Qwen: Qwen2.5 VL 32B Instruct | Mar 24, 2025 | 32B | 128K |
Image input
Text input
Text output
|
★★★ | ★★★★ | $$$ |
Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
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Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen VL Plus | Feb 04, 2025 | — | 7K |
Image input
Text input
Text output
|
★★★★ | ★★ | $$$ |
Qwen: Qwen VL Max | Feb 01, 2025 | — | 7K |
Image input
Text input
Text output
|
★★★★ | ★★ | $$$$ |
Qwen: Qwen-Turbo | Feb 01, 2025 | — | 1M |
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Text output
|
★★★★ | ★★★★ | $$ |
Qwen: Qwen2.5 VL 72B Instruct | Feb 01, 2025 | 72B | 32K |
Image input
Text input
Text output
|
★★★★ | ★★★★ | $$ |
Qwen: Qwen-Plus | Feb 01, 2025 | — | 131K |
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Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
Text input
Text output
|
★★★ | ★★★★ | $$$$ |
Qwen: QwQ 32B Preview | Nov 27, 2024 | 32B | 32K |
Text input
Text output
|
— | ★ | $$ |
Qwen2.5 Coder 32B Instruct | Nov 11, 2024 | ~500B | 32K |
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Text output
|
★★★★★ | ★★★★★ | $ |
Qwen2.5 7B Instruct | Oct 15, 2024 | ~500B | 32K |
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Text output
|
★ | ★★ | $$ |
Qwen2.5 72B Instruct | Sep 18, 2024 | ~500B | 32K |
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Text output
|
★★★ | ★★★ | $$$ |
Qwen: Qwen2.5-VL 7B Instruct | Aug 27, 2024 | ~500B | 32K |
Image input
Text input
Text output
|
★★★★ | ★★★ | $$$ |
Qwen 2 72B Instruct Unavailable | Jun 06, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$$ |