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Mistral Large 3 vs Llama 4 Maverick

Comprehensive comparison between Mistral AI's Mistral Large 3 and Meta's Llama 4 Maverick. Compare pricing, performance, features, and user reviews.

mistral vs llamamistral large vs llama 4open source llm

Specs Comparison

SpecificationMistral Large 3Llama 4 Maverick
Context Window262K1049K
Max Output33K16K
Input (per 1M tokens)$0.50$0.15
Output (per 1M tokens)$1.50$0.60
Reasoning
Open Source

Scenario Score Comparison

Mistral Large 3

Pros

  • + Apache 2.0 open source
  • + Excellent price ($0.5/$1.5)
  • + 262K context window
  • + Strong multilingual support
  • + Enterprise-friendly licensing

Cons

  • Behind Claude/GPT on coding benchmarks
  • Smaller ecosystem than US models
  • Less community support

Llama 4 Maverick

Pros

  • + Extremely affordable ($0.15/$0.60)
  • + 1M context window
  • + Native multimodal (text + image)
  • + Open source (Llama 4 Community License)
  • + High throughput MoE architecture

Cons

  • Coding performance below Claude/GPT
  • Benchmark gaming controversy
  • 16K max output limit
  • Knowledge cutoff August 2024

Recommendation

Choose Mistral Large 3 if you:

  • Need apache 2.0 open source
  • Need excellent price ($0.5/$1.5)
  • Need 262k context window

Choose Llama 4 Maverick if you:

  • Need extremely affordable ($0.15/$0.60)
  • Need 1m context window
  • Need native multimodal (text + image)

Based on scores across 0 scenarios, both models perform equally well.

Get Started with Mistral Large 3

1Visit the provider's website
2Create an account
3Start using the model

Get Started with Llama 4 Maverick

2Or self-host (open source)

💡 Open source - can be self-hosted or used via API providers.

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