Mistral: Mistral Small 3 vs Qwen: Qwen3 235B A22B Instruct 2507
Head-to-head API cost, context, and performance comparison. Synced at 2:36:03 PM.
Executive Summary
When evaluating Mistral: Mistral Small 3 against Qwen: Qwen3 235B A22B Instruct 2507, the pricing structure is a key differentiator. Mistral: Mistral Small 3 is approximately 24% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Qwen: Qwen3 235B A22B Instruct 2507 leads with a statistical ELO score of 1052. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3 235B A22B Instruct 2507, provided their budget allows for the API burn rate.
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Raw Technical comparison
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 3 wins out aggressively in pricing.
People Also Ask
Is Mistral: Mistral Small 3 cheaper than Qwen: Qwen3 235B A22B Instruct 2507?
Yes. Mistral: Mistral Small 3 is cheaper for both input and output generation compared to Qwen: Qwen3 235B A22B Instruct 2507. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
The Qwen: Qwen3 235B A22B Instruct 2507 model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.