Comprehensive side-by-side LLM comparison
Claude 3 Haiku leads with 8.3% higher average benchmark score. Claude 3 Haiku offers 144.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $1.47 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 was created as the fastest and most affordable model in its intelligence class, processing 21K tokens per second for prompts under 32K tokens. Built for enterprise workloads requiring quick analysis of large datasets, it combines state-of-the-art vision capabilities with strong performance on industry benchmarks while prioritizing speed, affordability, and enterprise-grade security.
Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
6 months newer

Claude 3 Haiku
Anthropic
2024-03-13

Llama 3.2 3B Instruct
Meta
2024-09-25
Cost per million tokens (USD)

Claude 3 Haiku

Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 7 common benchmarks

Claude 3 Haiku

Llama 3.2 3B Instruct
Available providers and their performance metrics

Claude 3 Haiku
Anthropic
Bedrock

Claude 3 Haiku

Llama 3.2 3B Instruct

Claude 3 Haiku

Llama 3.2 3B Instruct

Llama 3.2 3B Instruct
DeepInfra