Mistral Medium 3.5 is Mistral's best model for writing — it scores 84/100 vs 72/100 for Mistral Large 2, at $1.5/1M input tokens. Across all providers, Claude Fable 5 still leads writing at 98/100 — worth considering if you're not committed to Mistral.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Mistral Medium 3.5 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.
Mistral Small 3.1 is the better pick when response speed matters more than maximum reasoning depth.
Mistral Medium 3.5 leads Mistral's lineup for writing at 84/100 ($1.5/1M input, 256K context).
Mistral Small 3.1 is the value pick at $0.1/1M input with a writing score of 66/100.
Claude Fable 5 (Anthropic) is the overall writing leader at 98/100 if provider choice is open.
Choose Mistral Medium 3.5 when writing quality is the priority and you're staying on Mistral.
Choose Mistral Small 3.1 when token volume matters more than peak quality.
Teams open to other providers should also evaluate Claude Fable 5 before committing.
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 6, 2026
Best self-hostable multimodal model — European, dense, MIT-licensed.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
API price-performance is all that matters — DeepSeek V4-Pro is stronger and cheaper hosted.
The fastest way to see where the recommendation shifts when your priority changes.
Best self-hostable multimodal model — European, dense, MIT-licensed.
Best balanced generalist for EU teams with data residency needs.
Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.
Best budget-focused coding specialist for high-volume developer teams.
77.6% SWE-bench Verified — the strongest dense open-weights coding score at release
Single-checkpoint multimodality with function calling and structured outputs
Open weights under a modified MIT license, practical to self-host and fine-tune at 128B dense
Trails GPT-5.6, Opus-class, and Gemini frontier models on complex multi-step reasoning; sparse published benchmark disclosure
256K context is a quarter of the 1M frontier norm, and $7.50/1M output is dear for the tier
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Mistral Medium 3.5 — it scores 84/100 on writing in this directory, ahead of Mistral Large 2 at 72/100. Best self-hostable multimodal model — European, dense, MIT-licensed.
Not overall. Claude Fable 5 (Anthropic) leads the directory for writing at 98/100 vs Mistral Medium 3.5's 84/100. Mistral Medium 3.5 is the best pick if you're staying within Mistral's ecosystem.
Mistral Small 3.1 at $0.1/1M input tokens (writing score: 66/100). Use it for volume work and reserve Mistral Medium 3.5 for the tasks where quality matters most.
$1.5/1M input tokens and $7.5/1M output tokens via the API, or through Le Chat Pro at $14.99/mo for chat use. Context window: 256K tokens.