What is Large API?
Large is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 128,000 tokens / Max output: —
- Endpoint: /chat/completions
Performance Benchmarks
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Large API Pricing
- Input: $2.6 / 1M tokens
- Output: $7.8 / 1M tokens
Where to Use Large
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.
Complex multilingual reasoning tasks, including text understanding, transformation, and code generation. It is documented as suitable for these tasks in Mistral AI’s announcement for Mistral Large.
Complex enterprise tasks. Amazon Bedrock describes Mistral Large as the flagship model with strong reasoning and multilingual support for complex enterprise tasks.
Chat, agentic, and instruction-based use cases. NVIDIA’s model page for Mistral Large says the instruct post-trained version is fine-tuned for instruction tasks and is ideal for chat, agentic, and instruction-based use cases.
Production-grade assistants and retrieval-augmented systems. NVIDIA also says it is engineered for production-grade assistants, retrieval-augmented systems, scientific workloads, and complex enterprise workflows.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/mistral-large", "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", "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","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 | 5.8 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Large This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Large has a 128,000 tokens context window.
Large takes image, text as input and returns text.
Use mistralai/mistral-large as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Large is priced at input $2.7508 / 1M tokens, output $8.2524 / 1M tokens, cached input $0.27508 / 1M tokens.
Yes, Large can stream responses as they are generated.
Yes, Large accepts image input alongside text.
Large was built by Mistral AI.
It is available via the endpoint https://api.aimlapi.com/v1/chat/completions.
Yes, reasoning is listed among its features and capabilities.
Yes, it supports function calling, tools, and parallel tool calls.
