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Google: Gemma 4 31B vs Magnum v4 72B

Head-to-head API cost, context, and performance comparison. Synced at 8:54:38 PM.

Executive Summary

When evaluating Google: Gemma 4 31B against Magnum v4 72B, the pricing structure is a key differentiator. Google: Gemma 4 31B is approximately 93% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Google: Gemma 4 31B leads with a statistical ELO score of 1583. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Gemma 4 31B, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Google: Gemma 4 31B
Magnum v4 72B
Performance (ELO)
1583
1502
Input Cost / 1M
$0.14
$3.00
Output Cost / 1M
$0.40
$5.00
Context Window
262,144 tokens
16,384 tokens

Verdict

If you are looking for pure performance and capability, Google: Gemma 4 31B is statistically superior. However, if API burn rate is the primary concern, Google: Gemma 4 31B wins out aggressively in pricing.

People Also Ask

Is Google: Gemma 4 31B cheaper than Magnum v4 72B?

Yes. Google: Gemma 4 31B is cheaper for both input and output generation compared to Magnum v4 72B. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Google: Gemma 4 31B model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.

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