Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
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Measured against all 386 chat models CoreAI serves, Mistral: Mistral Medium 3.5 sits at #155 for context capacity — 262K tokens, roughly 196,608 words or 393 pages of text in a single conversation. On price, it is the #153 cheapest of 180 standard-tier models by input cost. It joined the catalog on 2026-04-30. It supports step-by-step reasoning (thinking mode) and accepts image input.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Mistral: Mistral Medium 3.5 and Mistral Large 2407 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00525 on Mistral: Mistral Medium 3.5's raw per-token rates; a heavy session with a 50K-token document costs about $0.113. On CoreAI you don't juggle these numbers — one subscription covers Mistral: Mistral Medium 3.5 and 300+ other models under a plan usage limit, with no API keys. See plans.
Mistral: Mistral Medium 3.5 handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.
Mistral: Mistral Medium 3.5's underlying rates are $1.5 per 1M input tokens and $7.5 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — Mistral: Mistral Medium 3.5 accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. Mistral: Mistral Medium 3.5 can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick Mistral: Mistral Medium 3.5 in the model selector, and chat — no API key, no per-token billing. One subscription covers Mistral: Mistral Medium 3.5 and 300+ other models.
The closest alternatives on CoreAI are Mistral Large 2407, Sakana: Sakana Namazu, inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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