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Mistral Models

Explore all 3 models from Mistral with detailed pricing, pros & cons, and developer recommendations.

3
Models
$0.400
Lowest Input
131K
Max Context
2
Quality Tiers

Quick Recommendations

Best Value: Mistral Medium 3 ($0.400/1M)
Best Quality: Mistral Large 2

Mistral Large 2

Flagship

Multilingual, complex tasks

Official Pricing

When to use: Top pick for multilingual enterprise apps, especially EU-based deployments.

Upgrade Highlights

  • ◆MMLU: 84.0% — competitive with GPT-4 class models
  • ◆Fine-tuning available — customize for domain-specific tasks
  • ◆EU-based (GDPR compliant) — only major flagship with EU sovereignty
  • ◆12 languages optimized — best-in-class for French, German, Spanish
  • ◆128K context is smaller vs 1M competitors — trade-off for EU compliance
Input Price
$2.00
per 1M tokens
Output Price
$6.00
per 1M tokens
Cached Input
—
per 1M tokens
Batch Input
—
per 1M tokens
Context Window: 131K
Max Output: 8,192 tokens
Knowledge Cutoff: 2024-07
VisionFunction CallingFine-tuningJSON ModeFree Tier

Pros

  • Excellent multilingual (French, German, etc.)
  • Fine-tuning available
  • EU-based (GDPR friendly)

Cons

  • No vision
  • 128K context is small vs competitors
  • No cached/batch pricing

Performance

Output Speed~55 tok/s
Rate Limit3,000 RPM

Multimodal

Image InputImage OutputAudio InputAudio Output

Benchmarks

MMLU
84.0%
HumanEval
82.0%
MATH
65.0%

Mistral Medium 3

Mid-tier

Balanced multilingual

Official Pricing

When to use: Cost-effective multilingual + vision for European market applications.

Upgrade Highlights

  • ◆Vision added at mid-tier — multimodal capability at $0.40/M input
  • ◆5x cheaper than Mistral Large ($0.40 vs $2/M) for lighter tasks
  • ◆EU-based infrastructure — GDPR compliant for European data
  • ◆128K context — sufficient for most enterprise document processing
  • ◆No fine-tuning — upgrade to Large 2 for custom model training
Input Price
$0.400
per 1M tokens
Output Price
$2.00
per 1M tokens
Cached Input
—
per 1M tokens
Batch Input
—
per 1M tokens
Context Window: 131K
Max Output: 8,192 tokens
Knowledge Cutoff: 2024-07
VisionFunction CallingFine-tuningJSON ModeFree Tier

Pros

  • Vision at mid-tier price
  • Good multilingual balance
  • EU-based

Cons

  • No fine-tuning
  • No cached/batch pricing
  • Smaller context than competitors

Performance

Output Speed~75 tok/s
Rate Limit5,000 RPM

Multimodal

Image InputImage OutputAudio InputAudio Output

Benchmarks

MMLU
80.5%
HumanEval
78.0%

Mixtral 8x22B

Mid-tier

Open-weight, high throughput

Official Pricing

When to use: For self-hosting or fine-tuning on domain-specific data with high throughput needs.

Upgrade Highlights

  • ◆Open-weight MoE: 8x22B params, only 39B active per token — high throughput
  • ◆Fine-tunable — full weight access for domain adaptation
  • ◆Function calling + JSON mode — enterprise-ready tool integration
  • ◆65K context — smaller than newer models but sufficient for most tasks
  • ◆Self-hostable — no per-token cost when running on own infrastructure
Input Price
$0.900
per 1M tokens
Output Price
$2.70
per 1M tokens
Cached Input
—
per 1M tokens
Batch Input
—
per 1M tokens
Context Window: 66K
Max Output: 4,096 tokens
Knowledge Cutoff: 2024-01
VisionFunction CallingFine-tuningJSON ModeFree Tier

Pros

  • Open-weight MoE architecture
  • Fine-tunable
  • High throughput via sparse activation

Cons

  • Only 65K context
  • No vision
  • Older knowledge cutoff (2024-01)

Performance

Output Speed~85 tok/s
Rate Limit—

Multimodal

Image InputImage OutputAudio InputAudio Output

Benchmarks

MMLU
77.8%
HumanEval
75.5%
MATH
58.0%

Side-by-Side Comparison

ModelTierInputOutputContext
Mistral Large 2Flagship$2.00$6.00131K
Mistral Medium 3Mid-tier$0.400$2.00131K
Mixtral 8x22BMid-tier$0.900$2.7066K