Qwen3 Coder Nexton Krater.ai
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
Released February 4, 2026
Specifications
Qwen3 Coder Next at a glance
Context
262.1K tokens
Max output
262.1K tokens
Input
Text
Output
Text
Input price
$0.12 / 1M
Output price
$0.80 / 1M
Capabilities
What it is good at
Catalog capabilities
- Generates text responses
- Supports tool calling
- Supports structured outputs
Good for
Benchmarks
Catalog data, not Krater benchmarks.
Coding index score
36.2
Agentic index score
8.9
Intelligence index score
21.3
Compare
Compare Qwen3 Coder Next
Qwen3 Coder Next vs Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
Open comparisonQwen3 Coder Next vs Qwen3 235B A22B
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass.
Open comparisonQwen3 Coder Next vs Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass.
Open comparisonFAQ
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