# Qwen3-Coder-Next

Qwen3-Coder-Next is an AI model released by Qwen on Feb 3 2026. It has 80B parameters, a 256k context window and open weight. At release it scored 70.6% on SWE-Bench Verified, 44.3% on SWE-Bench Pro and 62.8% on SWE-Bench Multilingual.

## Facts

| Field | Value |
| --- | --- |
| Model | Qwen3-Coder-Next |
| Developer | Qwen |
| Release date | Tuesday, Feb 3 2026 |
| Licensing | Open Weight |
| Parameters | 80B |
| Context window | 256k |

## API pricing

All rates in USD per 1,000,000 tokens, pay-as-you-go.

| Tier | Input | Output |
| --- | --- | --- |
| Up to 32K input tokens | $0.30 | $1.50 |
| Over 32K and up to 128K | $0.50 | $2.50 |
| Over 128K and up to 256K | $0.80 | $4.00 |

Deployment: International (Singapore).
Verified August 18, 2026 against the first-party source: https://www.alibabacloud.com/help/en/model-studio/model-pricing

## Benchmark scores published at release

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| SWE-Bench Pro | 44.3% | Lab | Can the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. |
| SWE-Bench Verified | 70.6% | Lab | Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. |
| SWE-Bench Multilingual | 62.8% | Lab | Like SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. |
| Terminal-Bench 2.0 | 36.2% | Lab | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. |

## Questions and answers

### When was Qwen3-Coder-Next released?

Qwen3-Coder-Next was released by Qwen on Tuesday, Feb 3 2026.

### Who made Qwen3-Coder-Next?

Qwen3-Coder-Next was built by Qwen. Alibaba's AI lab, building the Qwen family. The most prolific publisher of open-weight models of any major lab, alongside a proprietary Max and Plus tier sold through Alibaba Cloud.

### How much does Qwen3-Coder-Next cost?

Qwen3-Coder-Next costs $0.30 per million input tokens and $1.50 per million output tokens through the Qwen API. Those are the rates for the “Up to 32K input tokens” tier; 2 other pricing tiers are published for this model. Rates are pay-as-you-go API prices verified against Qwen's published pricing on August 18, 2026.

### What benchmark scores did Qwen3-Coder-Next get?

Qwen3-Coder-Next reports 4 tracked benchmark scores — SWE-Bench Pro: 44.3%; SWE-Bench Verified: 70.6%; SWE-Bench Multilingual: 62.8%; Terminal-Bench 2.0: 36.2%. Scores are the figures published at release by Qwen.

### What is the context window of Qwen3-Coder-Next?

Qwen3-Coder-Next has a context window of 256k. That is the maximum amount of input plus output the model can hold in a single request.

### How many parameters does Qwen3-Coder-Next have?

Qwen3-Coder-Next is reported at 80B parameters.

### Is Qwen3-Coder-Next open source?

Partly. Qwen3-Coder-Next is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

### What came before and after Qwen3-Coder-Next?

Qwen's previous tracked release was Qwen3-Max on Sep 24 2025, 132 days earlier. It was followed by Qwen3.5 on Feb 16 2026.


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Canonical page: https://aireleasetracker.com/model/qwen/qwen3-coder-next
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.