Magnum v4 72B Rank
Magnum v4 72B has an overall score of 45 out of 100, tied for rank 282 of 291. The published scores are price 46, 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 282 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 60 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 27 | 32.8K tokens, output 4.1K | AI Context Window |
| Parameters | 46 | 72B total | AI Parameter Count |
| Price | 46 | $3.13 / 1M blended, $2.5 / 1M input, $5 / 1M output | AI Token Price |
281 listed models have a higher overall score. Among Magnum v4 72B models, it ranks 1 of 1.
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).
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Frequently asked questions
What is the Magnum v4 72B rank?
Magnum v4 72B has an overall score of 45 out of 100, tied for rank 282 of 291. The published scores are price 46, 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 Magnum v4 72B rank?
Magnum v4 72B is tied for rank 282 of 291. 281 listed models have a higher overall score. Among Magnum v4 72B models, it ranks 1 of 1.
What scores make up Magnum v4 72B?
Magnum v4 72B scores price 46 (AI Token Price), context 27 (AI Context Window), parameters 46 (AI Parameter Count), and freshness 60 (AI Knowledge Cutoff). The overall score of 45 is the average of those 4.