Qwen: Qwen3 Coder Next Rank
Qwen3 Coder Next has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 77, context 53, parameters 48, and recency 70. The overall score is their average. freshness is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 185 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 70 | AI Release Date | |
| Context | 53 | 262K tokens, output 236K | AI Context Window |
| Parameters | 48 | 80B total | AI Parameter Count |
| Price | 77 | $0.29 / 1M blended, $0.12 / 1M input, $0.8 / 1M output | AI Token Price |
184 listed models have a higher overall score. Among Qwen models, it ranks 23 of 38.
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...
Higher overall scores
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Frequently asked questions
What is the Qwen3 Coder Next rank?
Qwen3 Coder Next has an overall score of 62 out of 100, tied for rank 185 of 291. The published scores are price 77, context 53, parameters 48, and recency 70. The overall score is their average. freshness is not published and is left out of the average.
Where does Qwen3 Coder Next rank?
Qwen3 Coder Next is tied for rank 185 of 291. 184 listed models have a higher overall score. Among Qwen models, it ranks 23 of 38.
What scores make up Qwen3 Coder Next?
Qwen3 Coder Next scores price 77 (AI Token Price), context 53 (AI Context Window), parameters 48 (AI Parameter Count), and recency 70 (AI Release Date). The overall score of 62 is the average of those 4.