Qwen: Qwen3 14B Rank
Qwen3 14B has an overall score of 55 out of 100, tied for rank 241 of 291. The published scores are price 86, context 30, parameters 29, and freshness 73. The overall score is their average. recency 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 241 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 73 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 30 | 41K tokens, output 16.4K | AI Context Window |
| Parameters | 29 | 14.8B total | AI Parameter Count |
| Price | 86 | $0.15 / 1M blended, $0.12 / 1M input, $0.24 / 1M output | AI Token Price |
240 listed models have a higher overall score. Among Qwen models, it ranks 32 of 38.
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Higher overall scores
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Frequently asked questions
What is the Qwen3 14B rank?
Qwen3 14B has an overall score of 55 out of 100, tied for rank 241 of 291. The published scores are price 86, context 30, parameters 29, and freshness 73. The overall score is their average. recency is not published and is left out of the average.
Where does Qwen3 14B rank?
Qwen3 14B is tied for rank 241 of 291. 240 listed models have a higher overall score. Among Qwen models, it ranks 32 of 38.
What scores make up Qwen3 14B?
Qwen3 14B scores price 86 (AI Token Price), context 30 (AI Context Window), parameters 29 (AI Parameter Count), and freshness 73 (AI Knowledge Cutoff). The overall score of 55 is the average of those 4.