+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Mistral Large 2 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 12.6% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Mistral Large 2 is available on 2 providers. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
+
+
+
+
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 month newer
Mistral Large 2
Mistral AI
2024-07-24
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
+
+
+
+
Mistral Large 2
Average Score:31.3%
+
+
+
+
Phi-3.5-vision-instruct
Average Score:43.9%(+12.6%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Mistral Large 2
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
+
+
+
+
+
+
+
+
Mistral Large 2
Avg Score:31.3%
Providers:2
+
+
+
+
Phi-3.5-vision-instruct
Avg Score:43.9%(+12.6%)
Providers:0