mistral-medium-3-5
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It takes text and image input and is designed for agentic workflows, coding and complex tasks.
Pricing: Input 360 credits / 1M tokens (≈ $1.80), Output 1800 credits / 1M tokens (≈ $9.00).
Prices updated
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Mistral Medium 3.5 API on ModelFold
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It takes text and image input and is designed for agentic workflows, coding and complex tasks. Try Mistral Medium 3.5 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Mistral Medium 3.5 API
Mistral Medium 3.5 at a glance
Mistral Medium 3.5 is a chat model from Mistral AI. It accepts text, images and files (such as PDF) as input and returns text, with a context window of up to 262K tokens.
Use it without hosting anything
On ModelFold you call Mistral Medium 3.5 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Mistral Medium 3.5
Up to 262K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images and files (such as PDF)
Besides text, Mistral Medium 3.5 accepts images and files (such as PDF) as input, so a single request can combine instructions with visual or other media.
Function calling
Mistral Medium 3.5 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Adjustable reasoning effort
Choose a reasoning effort level (low, medium or high) per request to balance depth of thinking against speed and token usage.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Mistral Medium 3.5 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Mistral Medium 3.5 responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "mistral-medium-3-5" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Mistral Medium 3.5
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Enterprise workflows
Automate internal processes such as reporting, knowledge-base Q&A, ticket handling and document review.
Frequently Asked Questions
What is Mistral Medium 3.5?⌄
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It takes text and image input and is designed for agentic workflows, coding and complex tasks.
Which inputs does Mistral Medium 3.5 support?⌄
Mistral Medium 3.5 accepts text, images and files (such as PDF) and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Mistral Medium 3.5?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Mistral Medium 3.5 support function calling?⌄
Yes. Mistral Medium 3.5 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Mistral Medium 3.5 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Mistral Medium 3.5 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "mistral-medium-3-5", using your ModelFold API key as the Bearer token.
| Input | 360 credits 1M tokens≈ $1.80 |
| Output | 1800 credits 1M tokens≈ $9.00 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"mistral-medium-3-5","messages":[{"role":"user","content":"Hello"}]}'