Atlas / Models / Mistral AI / Mistral Large 2407

Mistral Large 2407✓ Catalog verified

mistralai/mistral-large-2407

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement here. It supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash. Its long context window allows precise information recall from large documents.

Input price
$2.00 /1M
Output price
$6.00 /1M
Context
131K
Modalities
text
Released
Nov 19, 2024
Tool calling
✓ Yes
Atlas signal
85/100
01

Overview

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement here. It supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash. Its long context window allows precise information recall from large documents.

Access: available through the official Mistral AI API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifiermistralai/mistral-large-2407
ProviderMistral AI
Model typeText LLM
Context window131K catalog
Input modalitiestext
Output modalitiestext
ReleasedNov 19, 2024
TokenizerMistral
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltymax_tokenspresence_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "temperature": 0.3
}
03

Pricing

Live pricing components for mistralai/mistral-large-2407 as published in the catalog.

$2.00
Input /1M
$6.00
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.000002$2.00 / 1MPer input token
Completion tokens$0.000006$6.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$2.2Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Mistral Large 2407
MMLU Signal (Reasoning)
85signal
Coding Signal (HumanEval proxy)
97signal
Math Signal (GSM8K proxy)
79signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Mistral Large 2407 through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistralai/mistral-large-2407",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Mistral Large 2407 cost?

$2.00 per 1M input tokens and $6.00 per 1M output tokens on the official Mistral AI API.

What is the context window of Mistral Large 2407?

Mistral Large 2407 supports up to 131K tokens of context.

Does Mistral Large 2407 support tool / function calling?

Yes, Mistral Large 2407 supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Mistral Large 2407?

Use the official Mistral AI API with the model id `mistralai/mistral-large-2407`. See the Quick start section above for code examples.