Context
262K tokens (~131 books)
Input $/1M
$0.12
Output $/1M
$0.80
Type
text
License
Open Source
Benchmarks
3 tested
Data updated today
About
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...
Tested on 3 benchmarks with 0.0% average. Top scores: Artificial Analysis — Agentic Index (42.1%), Artificial Analysis — Quality Index (28.3%), Artificial Analysis — Coding Index (22.9%).
Capabilities
speed
51.8
#35 globally
Benchmark Scores
Compare AllTested on 3 benchmarks · Ranked across 1 categories
Score Distribution (all 233 models)
0255075100
speedCompare speed →
Artificial Analysis — Agentic Index
42.1—Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.
Artificial Analysis — Quality Index
28.3—Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.
Artificial Analysis — Coding Index
22.9—Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
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BenchGecko API
qwen3-coder-next
Specifications
- Typetext
- Context262K tokens (~131 books)
- ReleasedFeb 2026
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.001
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Frequently Asked Questions
Qwen3 Coder Next is an open-source text AI model by Alibaba Qwen, released in February 2026. Context window: 262K tokens.