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.

xAI

Grok-4 Heavy

xAI

Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

xAI

Grok-4 Heavy

xAI

2025-07-09

1 year newer

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

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

Grok-4 Heavy

Max Context:-

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

general
34.0%
code
71.2%
xAI

Grok-4 Heavy

general
+45.5%
79.5%
code
+8.2%
79.4%
Knowledge Cutoff
Training data recency comparison

Grok-4 Heavy

2024-12-31

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
xAI

Grok-4 Heavy

0 providers
Mistral AI

Codestral-22B

Avg Score:0.0%
Providers:2
xAI

Grok-4 Heavy

Avg Score:0.0%
Providers:0