Qwen2.5 72B Instruct Rank
Qwen2.5 72B Instruct has an overall score of 52 out of 100, tied for rank 260 of 291. The published scores are price 74, context 27, parameters 46, and freshness 60. 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 260 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 60 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 27 | 32.8K tokens, output 16.4K | AI Context Window |
| Parameters | 46 | 72B total | AI Parameter Count |
| Price | 74 | $0.37 / 1M blended, $0.36 / 1M input, $0.4 / 1M output | AI Token Price |
259 listed models have a higher overall score. Among Qwen2.5 72B Instruct models, it ranks 35 of 38.
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
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Frequently asked questions
What is the Qwen2.5 72B Instruct rank?
Qwen2.5 72B Instruct has an overall score of 52 out of 100, tied for rank 260 of 291. The published scores are price 74, context 27, parameters 46, and freshness 60. The overall score is their average. recency is not published and is left out of the average.
Where does Qwen2.5 72B Instruct rank?
Qwen2.5 72B Instruct is tied for rank 260 of 291. 259 listed models have a higher overall score. Among Qwen2.5 72B Instruct models, it ranks 35 of 38.
What scores make up Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct scores price 74 (AI Token Price), context 27 (AI Context Window), parameters 46 (AI Parameter Count), and freshness 60 (AI Knowledge Cutoff). The overall score of 52 is the average of those 4.