Key Specifications

Vendormistral
Versionlarge-2
Release Date2024-07-24
Context Window128000 tokens
Input Modalitiestext
Output Modalitiestext
LicenseMistral Research License
Documentationhttps://docs.mistral.ai/

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU84%2024-07-245-shotview
HUMANEVAL92pass@12024-07-24view
GSM8K93%2024-07-240-shot CoTview
MATH71%2024-07-240-shot CoTview
BBH81%2024-07-243-shot CoTview

Pricing

TierPriceCurrency
Input$2 / MtokUSD
Output$6 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://mistral.ai/technology/ · as of 2024-08-01

Compliance

  • Data Residency: EU
  • SOC2: ✓
  • HIPAA: ✗
  • GDPR: ✓
  • ISO 27001: ✓

Mistral Large 2

Model Overview

Mistral Large 2 is Mistral AI’s flagship model, released on July 24, 2024. With 123B parameters and a 128K context window, it is designed to compete with GPT-4o and Claude 3.5 Sonnet on coding, mathematics, and multilingual reasoning. Mistral Large 2 is particularly notable for its European sovereignty story: it is developed by a Paris-headquartered company, supports EU data residency, and is compliant with GDPR and ISO 27001 — making it a preferred choice for European enterprises and public sector organizations with strict data sovereignty requirements. The model supports dozens of languages natively and achieves a 92.0 pass@1 on HumanEval, placing it among the top coding models. Mistral Large 2 is available via the Mistral API, La Plateforme, Azure AI, and Google Cloud Vertex AI.

Key Specifications

AttributeValue
VendorMistral AI
Versionlarge-2
Release Date2024-07-24
Context Window128,000 tokens
Input Modalitiestext
Output Modalitiestext
LicenseMistral Research License
Documentationhttps://docs.mistral.ai/

Benchmark Performance

BenchmarkScoreUnitNotes
MMLU84.0%5-shot
HumanEval92.0pass@1
GSM8K93.0%0-shot CoT
MATH71.0%0-shot CoT
BBH81.0%3-shot CoT

Pricing

TierPrice (per 1M tokens)
Input$2.00
Output$6.00
Cache Read$0.00
Cache Write$0.00

Pricing source: https://mistral.ai/technology/ (as of 2024-08-01).

Strengths

  • Top-tier coding performance (HumanEval 92.0), matching Claude 3.5 Sonnet.
  • EU data residency with GDPR and ISO 27001 compliance.
  • Strong multilingual coverage across European languages.
  • Competitive pricing — 20% cheaper than GPT-4o on input tokens.

Weaknesses

  • Text-only model; no native multimodal support.
  • Mistral Research License restricts commercial use for non-Mistral customers.
  • MMLU score (84.0) trails leading flagships like GPT-4o (88.7).

Use Cases

  • European enterprise deployments requiring GDPR-compliant data residency.
  • Code generation and refactoring workflows.
  • Multilingual customer service across EU markets.
  • Public sector and regulated industries needing ISO 27001 certification.

References