Qwen: Qwen3.5-35B-A3B vs Mistral: Mistral Small 3.1 24B
Head-to-head API cost, context, and performance comparison. Synced at 2:35:08 PM.
Executive Summary
When evaluating Qwen: Qwen3.5-35B-A3B against Mistral: Mistral Small 3.1 24B, the pricing structure is a key differentiator. Mistral: Mistral Small 3.1 24B is approximately 38% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Mistral: Mistral Small 3.1 24B leads with a statistical ELO score of 1434. For tasks involving complex logic, coding, or instruction-following, developers might prefer Mistral: Mistral Small 3.1 24B, 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 3.1 24B wins out aggressively in pricing.
People Also Ask
Is Qwen: Qwen3.5-35B-A3B cheaper than Mistral: Mistral Small 3.1 24B?
No. Mistral: Mistral Small 3.1 24B is the more cost-effective model, operating at a lower price point per 1 million tokens.
Which model has the larger context window?
The Qwen: Qwen3.5-35B-A3B model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.