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Mistral: Ministral 3 3B 2512 vs Qwen: Qwen3 235B A22B Thinking 2507

Head-to-head API cost, context, and performance comparison. Synced at 1:48:01 PM.

Executive Summary

When evaluating Mistral: Ministral 3 3B 2512 against Qwen: Qwen3 235B A22B Thinking 2507, the pricing structure is a key differentiator. Mistral: Ministral 3 3B 2512 is approximately 92% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen3 235B A22B Thinking 2507 leads with a statistical ELO score of 1425. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3 235B A22B Thinking 2507, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Mistral: Ministral 3 3B 2512
Qwen: Qwen3 235B A22B Thinking 2507
Performance (ELO)
1425
1425
Input Cost / 1M
$0.10
$0.23
Output Cost / 1M
$0.10
$2.30
Context Window
131,072 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: Ministral 3 3B 2512 wins out aggressively in pricing.

People Also Ask

Is Mistral: Ministral 3 3B 2512 cheaper than Qwen: Qwen3 235B A22B Thinking 2507?

Yes. Mistral: Ministral 3 3B 2512 is cheaper for both input and output generation compared to Qwen: Qwen3 235B A22B Thinking 2507. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

Both models offer an identical context window of 131,072 tokens.

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