+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Codestral-22B vs Grok-1.5V
Comprehensive side-by-side LLM comparison
Grok-1.5V leads with 3.0% higher average benchmark score. Grok-1.5V supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
1 month newer
Grok-1.5V
xAI
2024-04-12
Codestral-22B
Mistral AI
2024-05-29
Average performance across 14 common benchmarks
+
+
+
+
Codestral-22B
Average Score:32.9%
+
+
+
+
Grok-1.5V
Average Score:35.9%(+3.0%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Codestral-22B
0 providers
+
+
+
+
Grok-1.5V
0 providers
+
+
+
+
Codestral-22B
Avg Score:32.9%
Providers:0
+
+
+
+
Grok-1.5V
Avg Score:35.9%(+3.0%)
Providers:0