Codestral-22B vs Llama 3.3 70B Instruct Comparison
Comparing Codestral-22B and Llama 3.3 70B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 1 benchmark (HumanEval).
Llama 3.3 70B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Llama 3.3 70B Instruct has 47.8B more parameters than Codestral-22B, making it 215.3% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Llama 3.3 Community License Agreement
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Llama 3.3 70B Instruct was released on 2024-12-06.
Llama 3.3 70B Instruct is 6 months newer than Codestral-22B.
May 29, 2024
1.8 years ago
Dec 6, 2024
1.3 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
Detailed Comparison
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