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Qwen: Qwen3.5-122B-A10B vs Mistral: Devstral 2 2512

Head-to-head API cost, context, and performance comparison. Synced at 5:04:50 PM.

Executive Summary

When evaluating Qwen: Qwen3.5-122B-A10B against Mistral: Devstral 2 2512, the pricing structure is a key differentiator. Qwen: Qwen3.5-122B-A10B is approximately 3% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Mistral: Devstral 2 2512 leads with a statistical ELO score of 1442. For tasks involving complex logic, coding, or instruction-following, developers might prefer Mistral: Devstral 2 2512, provided their budget allows for the API burn rate.

Raw Technical comparison

Metric
Qwen: Qwen3.5-122B-A10B
Mistral: Devstral 2 2512
Performance (ELO)
1442
1442
Input Cost / 1M
$0.26
$0.40
Output Cost / 1M
$2.08
$2.00
Context Window
262,144 tokens
262,144 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Qwen: Qwen3.5-122B-A10B wins out aggressively in pricing.

People Also Ask

Is Qwen: Qwen3.5-122B-A10B cheaper than Mistral: Devstral 2 2512?

Yes. Qwen: Qwen3.5-122B-A10B is cheaper for both input and output generation compared to Mistral: Devstral 2 2512. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

Both models offer an identical context window of 262,144 tokens.

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