Mistral

Mistral Large 4

Mistral flagship multimodal reasoning model with European multilingual excellence, Apache-compatible toolcalling syntax, and precision coding.

#17dirilis 25 Sep 2026·Proprietary·Not disclosed
textimage256K ctxpenalaran
Inteligensi
89.8 #17
AAQI 90.0
Kecepatan output
92 t/s
ITL 10.9 ms/tok
Harga gabungan (3:1)
$3.5 /1M
Input $2/M · Output $6/M
Konteks
256K
≈ 640 halaman A4 · output maks 32,768

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Mistral Large 4
Claude Mythos Preview (#1)
Average (68)
Coding (84.5)Mathematics (87)Hard Science (GPQA) (89.5)Agentic & Tool Use (81)Knowledge (MMLU) (91)Vision / Multimodal (90)

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

EU-compliant deployments
European data-residency enterprise workloads.
Multilingual products
Cross-European-language assistants.
Coding copilots
Agentic development in regulated industries.

Quickstart Developer & API

Atur MISTRAL_API_KEY dulu — dapatkan kunci API
curl 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."}]
  }'

Sumber Daya & Tautan Resmi

Deployment API

Bandingkan host & latensi

Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Lihat matriks penyedia →

Skor per sumber

Duel Head-to-head Live

Spesifikasi Live & Arsitektur

Di balik kap
Mistral Large 4 — undisclosed flagship
  • European multilingual excellence across 40+ languages
  • Reasoning, coding and multimodal categories
  • 256K context with 32K output window
Tanggal rilis
25 Sep 2026
Arsitektur
Mistral Large 4 — undisclosed flagship
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
256,000 tokens
Output maks
32,768 tokens
Modalitas
text + image
Harga cache
baca $0.2 · tulis $2 /1M
Penalaran
Level effort
Harga input
$2/M
Harga output
$6/M
Kecepatan output
92 t/s
Waktu ke token pertama
—
Data diperbarui
28 Sep 2026

Estimasi tagihan bulanan

Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…

Kutip & sematkan

Badge Markdown GitHub
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BibTeX
@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.

Pratinjau
Mistral Large 4 LLMPodium Score
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Lainnya dari Mistral

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