Comprehensive side-by-side LLM comparison
Claude 3 Haiku leads with 59.4% higher average benchmark score. Claude 3 Haiku offers 144.0K more tokens in context window than Devstral Medium. Claude 3 Haiku is $0.90 cheaper per million tokens. 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.
Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
1 year newer
Claude 3 Haiku
Anthropic
2024-03-13
Devstral Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)
Claude 3 Haiku
Devstral Medium
Context window and performance specifications
Average performance across 11 common benchmarks
Claude 3 Haiku
Devstral Medium
Available providers and their performance metrics
Claude 3 Haiku
Anthropic
Bedrock
Claude 3 Haiku
Devstral Medium
Claude 3 Haiku
Devstral Medium
Devstral Medium
Mistral AI