Qwen: Qwen3 Coder Next
Qwen's Qwen3 Coder Next is a budget-friendly coding-oriented model with tool use support and a 262K context window, though its benchmark scores are modest — best suited for lighter coding assistance tasks where cost is a priority, with some regional accessibility considerations.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Qwen |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 Coder Next stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
qwen/qwen3-coder-next
|
| Provider | qwen |
| Release Date | February 4, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.80 | $0.000800 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 15, 2026 8:53 pm