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OpenAI: GPT-3.5 Turbo (older v0613) vs Mistral: Mistral Medium 3.5 (batch)

Head-to-head API cost, context, and performance comparison. Synced at 1:43:32 PM.

Executive Summary

When evaluating OpenAI: GPT-3.5 Turbo (older v0613) against Mistral: Mistral Medium 3.5 (batch), the pricing structure is a key differentiator. OpenAI: GPT-3.5 Turbo (older v0613) is approximately 33% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Mistral: Mistral Medium 3.5 (batch) leads with a statistical ELO score of 1431. For tasks involving complex logic, coding, or instruction-following, developers might prefer Mistral: Mistral Medium 3.5 (batch), provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-3.5 Turbo (older v0613)
Mistral: Mistral Medium 3.5 (batch)
Performance (ELO)
1431
1431
Input Cost / 1M
$1.00
$0.75
Output Cost / 1M
$2.00
$3.75
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, OpenAI: GPT-3.5 Turbo (older v0613) wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-3.5 Turbo (older v0613) cheaper than Mistral: Mistral Medium 3.5 (batch)?

Yes. OpenAI: GPT-3.5 Turbo (older v0613) is cheaper for both input and output generation compared to Mistral: Mistral Medium 3.5 (batch). Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Mistral: Mistral Medium 3.5 (batch) model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.

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