What is Medium 3.5 API?
Medium 3.5 is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 262,144 tokens / Max output: —
- Endpoint: /chat/completions
Performance Benchmarks
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Medium 3.5 API Pricing
- Input: $1.95 / 1M tokens
- Output: $9.75 / 1M tokens
Where to Use Medium 3.5
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
[embed]
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Agentic workflows with connectors are listed as a use case for Mistral Medium 3.5, including work that coordinates multiple tools and connected services.
Cloud and local async coding is another documented use case, reflecting suitability for coding tasks that run across environments and can be handled asynchronously.
Document parsing, including multimodal text-and-image input, is also explicitly listed, making the model suited to extracting and interpreting information from documents and screenshots.
Research assistants are named as a use case as well, covering tasks that gather, synthesize, and structure information for exploratory work.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/mistral-medium-3-5", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "mistralai/mistral-medium-3-5", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"mistralai/mistral-medium-3-5","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| SWE-bench Verified | 77.6% | Resolving verified real GitHub issues | Source | July 13, 2026 |
| Intelligence | 14.9 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 46.9 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Medium 3.5 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Medium 3.5 has a 262,144 tokens context window.
Medium 3.5 takes image, text as input and returns text.
Use mistralai/mistral-medium-3-5 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Medium 3.5 is priced at input $2.0631 / 1M tokens, output $10.3155 / 1M tokens.
Yes, Medium 3.5 can stream responses as they are generated.
Yes, Medium 3.5 accepts image input alongside text.
Medium 3.5 was built by Mistral AI.
Yes, it supports function calling, tool use, and parallel tool calls, making it suitable for agentic workflows.
Yes, it includes web search and reasoning capabilities alongside structured output support.
