Large overview
Large specs
- Model ID
mistralai/mistral-large- Developer
- Mistral AI
- Context window
- 128,000 tokens
- Input
- Image, Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
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.
Use cases
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.
Capabilities
- Function calling
- Reasoning
- Streaming
- Structured outputs
- Web search
Large benchmarks by 
Artificial Analysis
See how Large scores on independent evaluations. Data retrieved Nov 3, 2026.
Benchmark results
Compare 11 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
LiveCodeBench
Competitive programming problems published after training cutoffs.
MMLU-Pro
Multiple-choice knowledge and reasoning across 14 subjects.
MATH-500
Competition mathematics problems.
Large API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $2.12 | 1M tokens |
| Output | $6.35 | 1M tokens |
| Cached input | $0.2116 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Large vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Large | $2.12 | $6.35 |
| Small 4 | $0.1984 | $0.7935 |
| Mistral Large 4 | $1.36 | $4.18 |
| Aion-3.0 | $3.17 | $6.35 |
| Medium 3.5 | $1.59 | $7.93 |
How to use the Large API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl '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": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "mistralai/mistral-large",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = 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": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Large
Related articles
Large FAQ
What is the context window of Large?
Large has a 128,000 tokens context window.
What inputs and outputs does Large support?
Large takes image, text as input and returns text.
What is the model ID for Large?
Use mistralai/mistral-large as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
How much does Large cost?
Large costs $2.12 input and $6.35 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does Large support streaming?
Yes, Large can stream responses as they are generated.
Can Large read images?
Yes, Large accepts image input alongside text.
Who created Large?
Large was built by Mistral AI.
Where can I access the Mistral Large API?
It is available via the endpoint https://api.aimlapi.com/v1/chat/completions.
Does Mistral Large support reasoning tasks?
Yes, reasoning is listed among its features and capabilities.
Can Large call external tools or functions?
Yes, it supports function calling, tools, and parallel tool calls.