+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Claude 3.5 Haiku vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 3.7% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Claude 3.5 Haiku is available on 3 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Anthropic
Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, it represents Anthropic'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.
2 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Claude 3.5 Haiku
Anthropic
2024-10-22
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
+
+
+
+
Claude 3.5 Haiku
Average Score:30.4%
+
+
+
+
Phi-3.5-vision-instruct
Average Score:34.1%(+3.7%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Claude 3.5 Haiku
3 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
Bedrock
Throughput: 104 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
+
+
+
+
+
+
+
Claude 3.5 Haiku
Avg Score:30.4%
Providers:3
+
+
+
+
Phi-3.5-vision-instruct
Avg Score:34.1%(+3.7%)
Providers:0