Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Mistral AI

Codestral-22B

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%). The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Microsoft

Phi 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

11 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Larger context
Max Context:65.5K
Parameters:22.2B
Microsoft

Phi 4 Reasoning

Max Context:-
Parameters:14.0B

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

code
71.2%
general
34.0%
Microsoft

Phi 4 Reasoning

code
+5.5%
76.7%
general
+40.3%
74.3%
Knowledge Cutoff
Training data recency comparison

Phi 4 Reasoning

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Codestral-22B

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Microsoft

Phi 4 Reasoning

0 providers
Mistral AI

Codestral-22B

Avg Score:0.0%
Providers:2
Microsoft

Phi 4 Reasoning

Avg Score:0.0%
Providers:0