Mistral · Open weights

Mistral Large 4

Added Oct 6, 2026Open weights

Mistral Large 4 is an open-weight multimodal mixture-of-experts model with 1.05T total and 49B active parameters, built for reasoning, coding, tool use, and structured output. It supports a 512K-token context window.

Reasoning
Tools
Vision
Structured output

Input: Text, Images
Output: Text
Reasoning effort: none · high
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $0.68
Output: $2.09
Cache read: $0.07

Reference prices as published by the model provider. API example

Specifications

Context window: 524.3K
Max output: —

Side by side

Mistral Large 4 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Mistral Large 4MistralThis model	Mistral Medium 3.5 ThinkingMistralRemove
Provider	Mistral	Mistral
Discovery tier	Open weights	Open weights
Added	Oct 6, 2026	Apr 30, 2026
Context window	524.29KBest	256K
Max output	—	32.77K
Pricing, USD per 1M tokens
Input	$0.68Best	$1.50
Output	$2.09Best	$7.50
Cache read	$0.07	—
Performance
Request success (24h)	68.9%	—
Capabilities
Reasoning	Yes	Yes
Tools	Yes	Yes
Vision	Yes	Yes
Structured output	Yes	Yes
Reasoning effort	none, high	none, high

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits: 57.2%; About $0.33 per 1M input tokens with caching
Request success (24h): 68.8%; Failing

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 5.1%

Healthy (98% or more)
Degraded (90–98%)
Down (under 90%)
No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-large-4",
    "reasoning_effort": "none",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="mistralai/mistral-large-4",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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