+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Codestral-22B vs DeepSeek-R1-0528
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 21.8% higher average benchmark score. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, it represents Mistral AI's latest advancement in AI technology.
+
+
+
+
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
12 months newer
Codestral-22B
Mistral AI
2024-05-29
DeepSeek-R1-0528
DeepSeek
2025-05-28
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
+
+
+
+
Codestral-22B
Average Score:20.1%
+
+
+
+
DeepSeek-R1-0528
Average Score:41.8%(+21.8%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Codestral-22B
0 providers
+
+
+
+
DeepSeek-R1-0528
3 providers
DeepInfra
+
+
+
+
Codestral-22B
Avg Score:20.1%
Providers:0
+
+
+
+
DeepSeek-R1-0528
Avg Score:41.8%(+21.8%)
Providers:3