alibaba/qwen3-coder-next
Qwen3 Coder Next
Qwen3-Coder-Next is an open-weight language model built specifically for coding, with strong performance on large-scale software engineering and agentic coding benchmarks. It uses a hybrid Mixture-of-Experts architecture to offer high capability at relatively modest active parameter counts, improving efficiency for real-world deployments. The model is trained on diverse code and natural language data so it can handle tasks like code generation, refactoring, debugging, repository-level reasoning, and technical explanation across multiple programming languages. It is also optimized for tool use and function calling, making it suitable as the core of coding agents that interact with shells, editors, issue trackers, and other developer tools.
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Bedrock | 256K | 256K | 288 ms | 39.5 t/s | 100.000% | $0.5 | $1.2 |
What can this model do?
Available modalities and capabilities across inference providers.
Technical profile
- Model type
- Language model
- Release date
- Jul 22, 2025
- Knowledge cutoff
- 2025-09
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
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