What is Large 2407 API?
Large 2407 is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 131,072 tokens / Max output: —
- Endpoint: /chat/completions
Performance Benchmarks
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Large 2407 API Pricing
- Input: $2.6 / 1M tokens
- Output: $7.8 / 1M tokens
Where to Use Large 2407
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.
The model is documented as suitable for complex business applications through parallel and sequential function calling. It is also described as useful for creating conversational applications.
It is documented for tool use and function calling, including making function calls in application workflows. The model is also described as an agentic model with native function calling and JSON outputting.
It is documented as suited to reasoning, code, JSON, and chat tasks. It is also described as capable of handling large documents with precise information recall.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/mistral-large-2407", "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-large-2407", "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-large-2407","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 6.8 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Math | 0 | Composite score across standardised mathematics evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Large 2407 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Large 2407 has a 131,072 tokens context window.
Large 2407 takes image, text as input and returns text.
Use mistralai/mistral-large-2407 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Large 2407 is priced at input $2.7508 / 1M tokens, output $8.2524 / 1M tokens, cached input $0.27508 / 1M tokens.
Yes, Large 2407 can stream responses as they are generated.
Yes, Large 2407 accepts image input alongside text.
Large 2407 was built by Mistral AI.
It is a chat model built by Mistral AI, supporting text and image inputs with text output, reasoning, and web search capabilities.
Yes, it supports function calling, tool use, and parallel tool calls.
