Comprehensive side-by-side LLM comparison
Claude 3 Haiku leads with 17.4% higher average benchmark score. Claude 3 Haiku offers 359.0K more tokens in context window than Gemini 1.0 Pro. Both models have similar pricing. Claude 3 Haiku supports multimodal inputs. Claude 3 Haiku is available on 3 providers. Overall, Claude 3 Haiku 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.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
27 days newer
Gemini 1.0 Pro
2024-02-15
Claude 3 Haiku
Anthropic
2024-03-13
Cost per million tokens (USD)
Claude 3 Haiku
Gemini 1.0 Pro
Context window and performance specifications
Average performance across 16 common benchmarks
Claude 3 Haiku
Gemini 1.0 Pro
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Claude 3 Haiku
Anthropic
Bedrock
Claude 3 Haiku
Gemini 1.0 Pro
Claude 3 Haiku
Gemini 1.0 Pro
Gemini 1.0 Pro