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OpenAI: GPT-3.5 Turbo Instruct vs Mistral: Mistral Small 4

Head-to-head API cost, context, and performance comparison. Synced at 2:33:56 PM.

Executive Summary

When evaluating OpenAI: GPT-3.5 Turbo Instruct against Mistral: Mistral Small 4, the pricing structure is a key differentiator. Mistral: Mistral Small 4 is approximately 79% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Mistral: Mistral Small 4 leads with a statistical ELO score of 1438. For tasks involving complex logic, coding, or instruction-following, developers might prefer Mistral: Mistral Small 4, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-3.5 Turbo Instruct
Mistral: Mistral Small 4
Performance (ELO)
1438
1438
Input Cost / 1M
$1.50
$0.15
Output Cost / 1M
$2.00
$0.60
Context Window
4,095 tokens
262,144 tokens

Verdict

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

People Also Ask

Is OpenAI: GPT-3.5 Turbo Instruct cheaper than Mistral: Mistral Small 4?

No. Mistral: Mistral Small 4 is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Mistral: Mistral Small 4 model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.

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