AI Observatory / Model Radar
Qwen / qwen/qwen3-coder-next
Qwen: Qwen3 Coder Next
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...
262,144
Context
262,144
Max output
$0.11 / 1M
Prompt price
2026-02-04
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Qwen | Input modalities | text |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.11 / 1M |
| Completion price | $0.80 / 1M | Request price | N/A |
| Context length | 262,144 | Max completion tokens | 262,144 |
| Supported parameters | frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p | ||
Best for
qwen/qwen3-coder-next
Qwen: Qwen3 Coder Next
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...
Coding workflows
Long context
High-volume usage
new
tool-capable
long-context
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.