Claude Sonnet 4.6 vs Devstral 2
Side-by-side comparison across metrics, pricing, and overall score — every value traced to a source.
Verdict: Claude Sonnet 4.6 ranks highest overall (#6) with a score of 36.0.
The best choice still depends on which metrics matter for your workload — per-metric winners are marked below.
What the numbers hide
Computed from the published values below — no estimates, no generated claims.
Fragile verdict
The overall winner flips to Claude Sonnet 4.6 if Context Window is weighted at 30% (it counts for 18% today). If context window drives your decision, the ranking above may not be your ranking.
Fragile verdict
The overall winner flips to Claude Sonnet 4.6 if Output Price is weighted at 0% (it counts for 18% today). If output price drives your decision, the ranking above may not be your ranking.
Real tradeoff
Claude Sonnet 4.6 clearly beats Devstral 2 on Context Window but clearly loses on Input Price — this pair is a priorities question, not a quality question.
What nobody reports
Cache Read Price (1 of 2 missing) · SWE-Bench Pro Score (1 of 2 missing) — the questions worth asking vendors directly.
AI hot take
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| Metric | Claude Sonnet 4.6Anthropic | Devstral 2Mistral |
|---|---|---|
| Overall OptiSift Score | 36.0#6 | 22.4#14 |
| Input Price | $3 | $0.4 |
| Output Price | $15 | $2 |
| Cache Read Price | $0.3 | — |
| Context Window | 1M | 262K |
| Max Output Tokens | 128K | 262K |
| SWE-Bench Pro Score | 14.9% | — |
| Tool Calling | Yes | Yes |
| Extended Reasoning | Yes | No |
About these models
#6Claude Sonnet 4.6
Anthropic
Claude Sonnet 4.6 is Anthropic's reasoning-capable model: $3/$15 per 1M input/output tokens, 1M token context window, 14.9% on SWE-Bench Pro.
#14Devstral 2
Mistral
Devstral 2 is Mistral's general-purpose model: $0.40/$2 per 1M input/output tokens, 262K token context window.