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Mistral: Devstral Medium vs Qwen: Qwen3.5 Plus 2026-02-15

Head-to-head API cost, context, and performance comparison. Synced at 11:28:48 AM.

Executive Summary

When evaluating Mistral: Devstral Medium against Qwen: Qwen3.5 Plus 2026-02-15, the pricing structure is a key differentiator. Qwen: Qwen3.5 Plus 2026-02-15 is approximately 24% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen3.5 Plus 2026-02-15 leads with a statistical ELO score of 1120. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.5 Plus 2026-02-15, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Mistral: Devstral Medium
Qwen: Qwen3.5 Plus 2026-02-15
Performance (ELO)
1120
1120
Input Cost / 1M
$0.40
$0.26
Output Cost / 1M
$2.00
$1.56
Context Window
131,072 tokens
1,000,000 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 Plus 2026-02-15 wins out aggressively in pricing.

People Also Ask

Is Mistral: Devstral Medium cheaper than Qwen: Qwen3.5 Plus 2026-02-15?

No. Qwen: Qwen3.5 Plus 2026-02-15 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 Plus 2026-02-15 model has the advantage in memory, offering a massive 1,000,000 token limit for document ingestion.

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