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Magnum v4 72B vs Google: Gemini 3.1 Pro Preview Custom Tools

Head-to-head API cost, context, and performance comparison. Synced at 11:18:11 AM.

Executive Summary

When evaluating Magnum v4 72B against Google: Gemini 3.1 Pro Preview Custom Tools, the pricing structure is a key differentiator. Magnum v4 72B is approximately 43% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Google: Gemini 3.1 Pro Preview Custom Tools leads with a statistical ELO score of 1300. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Gemini 3.1 Pro Preview Custom Tools, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Magnum v4 72B
Google: Gemini 3.1 Pro Preview Custom Tools
Performance (ELO)
1300
1300
Input Cost / 1M
$3.00
$2.00
Output Cost / 1M
$5.00
$12.00
Context Window
16,384 tokens
1,048,576 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Magnum v4 72B wins out aggressively in pricing.

People Also Ask

Is Magnum v4 72B cheaper than Google: Gemini 3.1 Pro Preview Custom Tools?

Yes. Magnum v4 72B is cheaper for both input and output generation compared to Google: Gemini 3.1 Pro Preview Custom Tools. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Google: Gemini 3.1 Pro Preview Custom Tools model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.

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