Mistral Small 3.1 is Mistral's cheapest model at $0.1/1M input tokens — 97% less than the flagship Mistral Large 2. It is also the best capability-per-dollar pick in the lineup.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Mistral Small 3.1 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.
Codestral 25.01 is the better pick when response speed matters more than maximum reasoning depth.
Mistral Small 3.1 is the lowest-cost Mistral model: $0.1/1M input, $0.3/1M output.
Mistral Small 3.1 is the best capability-per-dollar pick (budget score 98/100).
Mistral Large 2 costs 30x more on input — reserve it for work where quality is the bottleneck.
Choose Mistral Small 3.1 for high-volume, low-stakes tasks like classification, extraction, and drafts.
Choose Mistral Small 3.1 as the everyday default if you want one budget model.
Route only the hardest tasks to Mistral Large 2 — a two-tier setup usually cuts spend 60–80%.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Mistral / Balanced / Aug 7, 2026
Best balanced generalist for EU teams with data residency needs.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You want best-in-class performance for any specific use case — the frontier leaders win.
The fastest way to see where the recommendation shifts when your priority changes.
Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.
Best budget-focused coding specialist for high-volume developer teams.
Best balanced generalist for EU teams with data residency needs.
One of the cheapest models in the directory at $0.10/1M input
Multimodal — handles images alongside text at this price point
Fast and efficient for simple, well-defined tasks
Weak on complex reasoning, hard coding, and nuanced writing
Not suitable for tasks requiring deep context retention or multi-step logic
Limited to simpler use cases compared to Codestral or DeepSeek V3
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Mistral Small 3.1 at $0.1/1M input and $0.3/1M output tokens. Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.
Mistral Small 3.1 is the best capability-per-dollar pick in Mistral's lineup (budget score 98/100). It handles ultra-high-volume classification well — step up to Mistral Large 2 only where quality visibly falls short.
Mistral Small 3.1 costs $0.1/1M input vs $3/1M for Mistral Large 2 — a 97% saving on input tokens.
Codestral 25.01 — 256K tokens at $0.9/1M input.