Mistral
Mistral Large
mistral-largeKonteks
262K
Input / 1M token
$0.5000
Output / 1M token
$1.50
Rumus weighted token
1× provider × 1× tier
Tentang model ini
Mistral Large
Mistral Large — Mistral AI's flagship dense model. Strong general-purpose quality with particularly good multilingual performance for European languages.
Rilis
2024-07
Batas data latih
2024-07
Parameter
123B (dense)
Paling cocok untuk
Kasus penggunaan
- ✓European-language customer support
- ✓GDPR-resident workloads (data processed in EU)
- ✓Code generation
- ✓Structured output + function calling
Kelebihan
Yang dikerjakan dengan baik
- ●EU data residency by default
- ●Native function calling + JSON mode
- ●Strong on French, German, Spanish, Italian benchmarks
- ●Code quality matches GPT-4-class on common tasks
Keterbatasan
Pahami trade-off-nya
- !Trails frontier on the hardest reasoning tasks
- !Knowledge cutoff trails newer models
- !Premium price relative to open-weights at similar quality
Benchmark
Skor terpublikasi
Skor dari model card resmi dan leaderboard publik. Makin tinggi makin baik kecuali disebutkan lain.
| Benchmark | Skor | Mengukur |
|---|---|---|
| MMLU | 84.0 | General knowledge across 57 subjects |
| HumanEval | 92.0 | Python code generation, pass@1 |
| MATH | 60.4 | Mathematics, mixed difficulty |
Contoh kode
Chat completion dengan Mistral Large
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="mistral-large",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Weighted token
weighted_tokens = raw_tokens × 1 (provider) × 1 (tier)
Paket Pro: 20 jt weighted token/bulan. Multiplier gabungan 1×: 20,000,000 raw token tersedia.
Alternatif
Model serupa di katalog kami
Beban kerja yang cocok dengan Mistral Large sering cocok dengan ini juga. Bandingkan benchmark dan harga sebelum menetapkan default.