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Thinking Machines: Inkling (batch) vs Mistral: Mistral Medium 3

Head-to-head API cost, context, and performance comparison. Synced at 4:21:24 PM.

Executive Summary

When evaluating Thinking Machines: Inkling (batch) against Mistral: Mistral Medium 3, the pricing structure is a key differentiator. Mistral: Mistral Medium 3 is approximately 5% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Mistral: Mistral Medium 3 leads with a statistical ELO score of 1423. For tasks involving complex logic, coding, or instruction-following, developers might prefer Mistral: Mistral Medium 3, provided their budget allows for the API burn rate.

Raw Technical comparison

Metric
Thinking Machines: Inkling (batch)
Mistral: Mistral Medium 3
Performance (ELO)
1423
1423
Input Cost / 1M
$0.50
$0.40
Output Cost / 1M
$2.02
$2.00
Context Window
524,288 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, Mistral: Mistral Medium 3 wins out aggressively in pricing.

People Also Ask

Is Thinking Machines: Inkling (batch) cheaper than Mistral: Mistral Medium 3?

No. Mistral: Mistral Medium 3 is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Thinking Machines: Inkling (batch) model has the advantage in memory, offering a massive 524,288 token limit for document ingestion.

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