Mistral Large 4
Mistral flagship multimodal reasoning model with European multilingual excellence, Apache-compatible toolcalling syntax, and precision coding.
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.
Kelebihan & Trade-off
Di mana ia menang
- Top European frontier model — multilingual depth
- Strong coding and reasoning tier
- $2/$6 pricing below US frontier peers
Hal yang perlu diperhatikan
- 256K context is small vs. 1M-token competitors
- Proprietary hosted API
Kasus Penggunaan Killer
Quickstart Developer & API
MISTRAL_API_KEY dulu — dapatkan kunci APIcurl https://api.mistral.ai/v1/chat/completions \
-H "Authorization: Bearer $MISTRAL_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "mistral-large-4",
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.mistral.ai/v1",
api_key=os.environ["MISTRAL_API_KEY"],
)
resp = client.chat.completions.create(
model="mistral-large-4",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://api.mistral.ai/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.MISTRAL_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "mistral-large-4",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);Sumber Daya & Tautan Resmi
Bandingkan host & latensi
Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.
Skor per sumber
Skor per kategori
Hasil benchmark
Duel Head-to-head Live
Spesifikasi Live & Arsitektur
- European multilingual excellence across 40+ languages
- Reasoning, coding and multimodal categories
- 256K context with 32K output window
Estimasi tagihan bulanan
Kutip & sematkan
Loading badge markdown...@misc{llmpodium2026mistrallarge4,
title = {Benchmark Analysis and Intelligence Evaluation of Mistral Large 4},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/mistral-large-4}
}Sematkan Lencana Skor
Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.
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Model Alternatif
Alternatif terdekat untuk Mistral Large 4 berdasarkan kemampuan, harga, dan skor benchmark.