Mistral Medium 3.5 is Mistral's best model for research — it scores 82/100 vs 71/100 for Mistral Large 2, at $1.5/1M input tokens. Across all providers, Claude Fable 5 still leads research at 100/100 — 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 Large 2 is the better pick when large documents, transcripts, or knowledge-heavy work lead the decision.
Mistral Medium 3.5 leads Mistral's lineup for research at 82/100 ($1.5/1M input, 256K context).
Mistral Medium 3.5 is the value pick at $1.5/1M input with a research score of 82/100.
Claude Fable 5 (Anthropic) is the overall research leader at 100/100 if provider choice is open.
Choose Mistral Medium 3.5 when research quality is the priority and you're staying on Mistral.
Choose Mistral Medium 3.5 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.
Best budget-focused coding specialist for high-volume developer teams.
Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.
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 82/100 on research in this directory, ahead of Mistral Large 2 at 71/100. Best self-hostable multimodal model — European, dense, MIT-licensed.
Not overall. Claude Fable 5 (Anthropic) leads the directory for research at 100/100 vs Mistral Medium 3.5's 82/100. Mistral Medium 3.5 is the best pick if you're staying within Mistral's ecosystem.
Mistral Medium 3.5 at $1.5/1M input tokens (research score: 82/100). 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.