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Mistral Medium 3.5
Mistral's 128B merged flagship — open weights, coding+reasoning+instructions
0Visit Mistral Medium 3.5
https://mistral.ai/news/vibe-remote-agents-mistral-medium-3-5/
About Mistral Medium 3.5
Mistral's first flagship merged model, released May 22, 2026. A dense 128B model with a 256k context window that handles instruction-following, reasoning, and coding in a single set of weights. Available as open weights (modified MIT license) and powers Mistral Vibe remote coding agents and Le Chat's new Work mode. SWE-Bench Verified: 77.6%. API: $1.5/M input, $7.5/M output.
Key Features
Mistral Medium 3.5 Pros & Cons
✅ Pros
- +Open weights under modified MIT license — genuinely self-hostable on 4 GPUs, unlike most frontier models
- +Strong coding benchmark: 77.6% on SWE-Bench Verified, outperforming Devstral 2 and Qwen3.5 397B A17B
- +Merged model architecture means instruction-following, reasoning, and coding in one set of weights — no routing overhead
- +Configurable reasoning effort per request — tune latency vs. quality per call
- +256k context window handles long documents and extended agentic sessions
- +Competitive API pricing: $1.5/$7.5 per million tokens (vs Claude Opus 4.8 at $5/$25)
- +Powers Mistral Vibe remote agents — async cloud coding with Slack, GitHub, Linear, Jira integrations
⚠️ Cons
- −128B dense model requires significant GPU resources for self-hosting at scale (4 GPUs minimum for inference)
- −Open weights use a modified MIT license — not standard MIT, review commercial terms for enterprise use
- −Newer and less battle-tested than GPT-4o or Claude Sonnet in production agentic pipelines
- −Vision capabilities are present but Mistral has not published detailed vision benchmarks for Medium 3.5
- −Vibe remote agents and Work mode are on Pro/Team/Enterprise plans — not available on free Le Chat
Who Is Mistral Medium 3.5 Best For?
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