Devstral 2 2512
Mistral's efficiency model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
Devstral 2 2512 is optimized for high-precision formatting and long-range retrieval. It achieves perfect scores in structured output, constrained rewriting, and long context handling, making it a reliable choice for developers needing strict adherence to schemas or processing documents within its 262K context window. Its multilingual capabilities are equally strong, providing consistent performance across different languages.
The pricing is competitive for a specialized model, with a blended cost of $1.60/MTok. While it ranks in the middle of the pack overall (#48 of 71), its value lies in its specific technical strengths rather than general-purpose reasoning. However, the model has a significant failure point in safety calibration, scoring 1/5, which indicates a lack of built-in guardrails or a tendency to ignore safety constraints.
Performance is mediocre when handling tabular data or simple classification tasks. Developers should not rely on this model for data extraction from tables or high-accuracy labeling, as these areas underperform relative to its strengths in structured generation.
Use this model if your workflow requires strict JSON/schema adherence, extensive context windows, or complex rewriting tasks. Skip this model if your application requires rigorous safety filtering or high-precision classification and tabular analysis.
Strengths — Top 3
Relative weaknesses — Bottom 3
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