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WizardLM-2 8x22B vs Mistral Large 2407

Head-to-head API cost, context, and performance comparison. Synced at 2:32:29 PM.

Executive Summary

When evaluating WizardLM-2 8x22B against Mistral Large 2407, the pricing structure is a key differentiator. WizardLM-2 8x22B is approximately 85% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Mistral Large 2407 leads with a statistical ELO score of 1437. For tasks involving complex logic, coding, or instruction-following, developers might prefer Mistral Large 2407, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
WizardLM-2 8x22B
Mistral Large 2407
Performance (ELO)
1437
1437
Input Cost / 1M
$0.62
$2.00
Output Cost / 1M
$0.62
$6.00
Context Window
65,535 tokens
131,072 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, WizardLM-2 8x22B wins out aggressively in pricing.

People Also Ask

Is WizardLM-2 8x22B cheaper than Mistral Large 2407?

Yes. WizardLM-2 8x22B is cheaper for both input and output generation compared to Mistral Large 2407. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Mistral Large 2407 model has the advantage in memory, offering a massive 131,072 token limit for document ingestion.

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