Comprehensive side-by-side LLM comparison
Phi 4 leads with 8.5% higher average benchmark score. Claude 3 Haiku offers 368.0K more tokens in context window than Phi 4. Phi 4 is $1.29 cheaper per million tokens. Claude 3 Haiku supports multimodal inputs. Claude 3 Haiku is available on 3 providers. Overall, Phi 4 is the stronger choice for coding tasks.
Anthropic
Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
9 months newer
Claude 3 Haiku
Anthropic
2024-03-13
Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Claude 3 Haiku
Phi 4
Context window and performance specifications
Average performance across 17 common benchmarks
Claude 3 Haiku
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
Claude 3 Haiku
Anthropic
Bedrock
Claude 3 Haiku
Phi 4
Claude 3 Haiku
Phi 4
Phi 4
DeepInfra