Mistral Medium 3.5
Mistral's efficiency model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
Mistral Medium 3.5 is characterized by high reliability in complex reasoning and adherence to identity. With perfect 5/5 internal scores in strategic analysis, faithfulness, and persona consistency, the model excels at tasks requiring strict factual grounding and the maintenance of a specific professional or character voice across long interactions.
The model offers a substantial 262K context window, supported by a 4/5 score in long-context performance. However, this capability comes at a premium price point. With a blended cost of $6.00 per million tokens and output costs five times higher than input costs, it is an expensive option relative to its #40 overall rank among 76 evaluated models.
A significant technical trade-off is found in its safety calibration, which scores a 2/5. This indicates a potential lack of alignment or a tendency to bypass standard safety guardrails, which may necessitate additional external filtering layers depending on the deployment environment.
Use this model for high-stakes strategic planning, multilingual applications, or complex persona-driven agents where factual precision is non-negotiable. Skip this model if you are operating on a tight token budget or require a model with rigorous, built-in safety calibrations.
Strengths — Top 3
Relative weaknesses — Bottom 3
Similar models