Author's Description
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment. The model is trained with a strong agentic focus and performs reliably on long-horizon coding tasks, complex tool usage, and recovery from execution failures. With a native 256k context window, it integrates cleanly into real-world CLI and IDE environments and adapts well to common agent scaffolds used by modern coding tools. The model operates exclusively in non-thinking mode and does not emit <think> blocks, simplifying integration for production coding agents.
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
Qwen3-Coder-Next, an 80B sparse MoE model with 3B activated parameters, is designed for coding agents and local development. It exhibits a strong focus on reliability, achieving an exceptional 99% success rate across benchmarks, indicating consistent and usable responses. However, its speed performance tends to be slower, ranking in the 15th percentile. Conversely, its pricing is competitive, falling in the 52nd percentile. The model demonstrates perfect accuracy in Ethics, making it the most accurate at its price point and among models of comparable speed. It also performs well in General Knowledge (99.0% accuracy) and Coding (89.5% accuracy), ranking in the 64th percentile for both. Its ability to handle long-horizon coding tasks and complex tool usage is a key strength, supported by its native 256k context window. While its Hallucinations accuracy is 94.0%, it ranks in the 50th percentile, suggesting room for improvement in acknowledging uncertainty. A notable weakness is its performance in Reasoning, where it ranks in the 1st percentile for duration, indicating significantly longer processing times for complex problems, despite a respectable 79.6% accuracy. Its Instruction Following accuracy is moderate at 59.6%. The model's exclusive non-thinking mode simplifies integration for production coding agents.
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.2 |
| Completion | $1.5 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Novita
|
Novita | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.2 / 1M tokens | $1.5 / 1M tokens |
|
Together
|
Together | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.5 / 1M tokens | $1.2 / 1M tokens |
|
Chutes
|
Chutes | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.12 / 1M tokens | $0.75 / 1M tokens |
|
Parasail
|
Parasail | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.12 / 1M tokens | $0.75 / 1M tokens |
|
Chutes
|
Chutes | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.12 / 1M tokens | $0.75 / 1M tokens |
|
Parasail
|
Parasail | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.15 / 1M tokens | $0.8 / 1M tokens |
|
Ionstream
|
Ionstream | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.12 / 1M tokens | $0.75 / 1M tokens |
|
AtlasCloud
|
AtlasCloud | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.18 / 1M tokens | $1.35 / 1M tokens |
|
Ionstream
|
Ionstream | qwen/qwen3-coder-next-2025-02-03 | 262K | $0.15 / 1M tokens | $0.8 / 1M tokens |
Benchmark Results
| Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
|---|
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|
|
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|
Speed | Ability | Cost |
|---|---|---|---|---|---|---|---|
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| Qwen: Qwen3.5-27B | Feb 25, 2026 | 27B | 262K |
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| Qwen: Qwen3 VL 32B Instruct | Oct 23, 2025 | 32B | 262K |
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| Qwen: Qwen3 VL 8B Thinking | Oct 14, 2025 | 8B | 131K |
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| Qwen: Qwen3 VL 8B Instruct | Oct 14, 2025 | 8B | 131K |
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| Qwen: Qwen3 VL 30B A3B Thinking | Oct 06, 2025 | 30B | 262K |
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| Qwen: Qwen3 VL 30B A3B Instruct | Oct 06, 2025 | 30B | 131K |
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| Qwen: Qwen3 VL 235B A22B Thinking | Sep 23, 2025 | 235B | 131K |
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| Qwen: Qwen3 VL 235B A22B Instruct | Sep 23, 2025 | 235B | 131K |
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| Qwen: Qwen3 Max | Sep 23, 2025 | — | 262K |
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★★★★ | ★★★★ | $$$$ |
| Qwen: Qwen3 Coder Plus | Sep 23, 2025 | ~480B | 1M |
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★★★★ | ★★★★ | $$$$ |
| Qwen: Qwen3 Coder Flash | Sep 17, 2025 | — | 1M |
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| Qwen: Qwen3 Next 80B A3B Thinking | Sep 11, 2025 | 80B | 131K |
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| Qwen: Qwen3 Next 80B A3B Instruct | Sep 11, 2025 | 80B | 262K |
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| Qwen: Qwen Plus 0728 | Sep 08, 2025 | ~20B | 1M |
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★★★★★ | ★★★ | $$ |
| Qwen: Qwen3 30B A3B Thinking 2507 | Aug 28, 2025 | 30B | 262K |
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★★ | ★★★ | $$$ |
| Qwen: Qwen3 Coder 30B A3B Instruct | Jul 31, 2025 | 30B | 262K |
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| Qwen: Qwen3 30B A3B Instruct 2507 | Jul 29, 2025 | 30B | 131K |
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| Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
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| Qwen: Qwen3 Coder 480B A35B | Jul 22, 2025 | 480B | 1M |
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| Qwen: Qwen3 Coder 480B A35B (exacto) Unavailable | Jul 22, 2025 | 480B | 262K |
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| Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
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| Qwen: Qwen3 4B Unavailable | Apr 30, 2025 | 4B | 131K |
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| Qwen: Qwen3 30B A3B | Apr 28, 2025 | 30B | 40K |
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| Qwen: Qwen3 8B | Apr 28, 2025 | 8B | 128K |
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| Qwen: Qwen3 14B | Apr 28, 2025 | 14B | 40K |
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| Qwen: Qwen3 32B | Apr 28, 2025 | 32B | 40K |
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| Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
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|
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— | — | $ |
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| Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
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| Qwen: Qwen VL Plus | Feb 04, 2025 | — | 131K |
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| Qwen: Qwen VL Max | Feb 01, 2025 | — | 131K |
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| Qwen: Qwen-Turbo | Feb 01, 2025 | — | 131K |
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| Qwen: Qwen2.5 VL 72B Instruct | Feb 01, 2025 | 72B | 128K |
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| Qwen: Qwen-Plus | Feb 01, 2025 | — | 1M |
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| Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
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★★★★ | ★★ | $$$$ |