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Mistral: Mistral Medium 3.5 vs OpenAI: GPT-6 Astra Pro (batch)

Head-to-head API cost, context, and performance comparison. Synced at 1:43:31 PM.

Executive Summary

When evaluating Mistral: Mistral Medium 3.5 against OpenAI: GPT-6 Astra Pro (batch), the pricing structure is a key differentiator. Mistral: Mistral Medium 3.5 is approximately 70% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-6 Astra Pro (batch) leads with a statistical ELO score of 1457. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-6 Astra Pro (batch), provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Mistral: Mistral Medium 3.5
OpenAI: GPT-6 Astra Pro (batch)
Performance (ELO)
1457
1457
Input Cost / 1M
$1.50
$5.00
Output Cost / 1M
$7.50
$25.00
Context Window
262,144 tokens
1,050,000 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 Medium 3.5 wins out aggressively in pricing.

People Also Ask

Is Mistral: Mistral Medium 3.5 cheaper than OpenAI: GPT-6 Astra Pro (batch)?

Yes. Mistral: Mistral Medium 3.5 is cheaper for both input and output generation compared to OpenAI: GPT-6 Astra Pro (batch). Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-6 Astra Pro (batch) model has the advantage in memory, offering a massive 1,050,000 token limit for document ingestion.

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