Mistral vs Llama: Battle of the Open-Source LLM Giants for Councils

Open-Source Champions

For privacy-focused councils, self-hosted models are essential. Mistral and Llama lead the open-source LLM space.

Model Families

Mistral Family

• Mistral 7B: The original, still excellent
• Mixtral 8x7B: MoE architecture, 47B total
• Mixtral 8x22B: Large MoE, 141B total
• Mistral Large: Commercial, 123B
• Codestral: Code-focused

Llama Family

• Llama 3.2 1B/3B: Edge models
• Llama 3.2 11B: Vision + text
• Llama 3.1 8B: Balanced
• Llama 3.1 70B: High quality
• Llama 3.1 405B: Flagship

Benchmark Comparison

Benchmark	Mistral Large	Llama 3.1 70B	Mixtral 8x7B
MMLU	84.0%	86.0%	70.6%
HumanEval	84.0%	80.5%	75.0%
MATH	63.0%	68.0%	37.0%
GSM8K	89.0%	95.1%	56.0%

Llama 3.1 70B leads on most benchmarks, but Mistral Large is competitive.

Deployment Comparison

Hardware Requirements

Model	Minimum RAM	Recommended GPU
Mistral 7B	16GB	RTX 3090
Llama 3.2 3B	8GB	RTX 3060
Mixtral 8x7B	48GB	2x A100
Llama 3.1 70B	140GB	4x A100

Inference Speed

Model	Tokens/sec (A100)
Mistral 7B	120
Llama 3.2 3B	200
Mixtral 8x7B	45
Llama 3.1 70B	25

Mistral Strengths

Efficiency

• MoE architecture scales well
• Good quality-to-size ratio
• Apache 2.0 license (permissive)

Commercial Support

• Mistral AI offers enterprise
• Better cloud integration
• Regular updates

European Option

• GDPR-friendly
• EU-based company
• Data sovereignty

Llama Strengths

Size Variety

• More model sizes
• Edge to enterprise
• Fine-tuning ecosystem

Performance

• 70B beats Mistral Large
• 405B competitive with Claude
• Vision capability (3.2)

Community

• Larger open-source community
• More fine-tunes available
• Better documentation

Council Configuration

Local Privacy Council

{
  "name": "Local Council",
  "models": [
    "ollama:llama3.1:70b",   // Quality
    "ollama:mistral:7b",     // Speed
    "ollama:llama3.2:3b"     // Fan-out
  ],
  "deployment": "self-hosted",
  "privacy": "complete"
}

Hybrid Open-Cloud

{
  "name": "Hybrid Council",
  "models": [
    "ollama:llama3.1:70b",   // Local primary
    "ollama:mixtral:8x7b",   // Local diversity
    "anthropic:claude-3.5-sonnet"  // Cloud synthesis
  ],
  "sensitive_routing": "local_only"
}

When to Choose Mistral

• EU data requirements: GDPR compliance
• Efficiency priority: MoE architecture
• Commercial deployment: Enterprise support
• Balanced needs: Good all-around

When to Choose Llama

• Maximum quality: 70B/405B options
• Edge deployment: Small model variety
• Community support: Larger ecosystem
• Fine-tuning: More options available

Our Recommendation

For most self-hosted councils: Llama 3.1 70B + Mistral 7B provides an excellent balance.

For EU privacy requirements: Mistral family with local deployment.

For edge/mobile: Llama 3.2 3B is unmatched for its size.

Both families are excellent—your choice depends on specific needs around licensing, geography, and ecosystem preferences.