Comprehensive side-by-side LLM comparison
Claude Haiku 4.5 leads with 40.2% higher average benchmark score. Claude Haiku 4.5 offers 144.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $5.97 cheaper per million tokens. Claude Haiku 4.5 supports multimodal inputs. Overall, Claude Haiku 4.5 is the stronger choice for coding tasks.
Anthropic
Claude Haiku 4.5 continues Anthropic's tradition of fast, efficient models in the fourth generation Claude family. Designed to maintain the hallmark speed and cost-effectiveness of the Haiku line while incorporating advancements from the Claude 4 series, it serves applications requiring rapid processing and quick turnaround times.
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.
1 year newer

Llama 3.2 3B Instruct
Meta
2024-09-25

Claude Haiku 4.5
Anthropic
2025-10-15
Cost per million tokens (USD)

Claude Haiku 4.5

Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

Claude Haiku 4.5

Llama 3.2 3B Instruct
Claude Haiku 4.5
2025-02-01
Available providers and their performance metrics

Claude Haiku 4.5
Anthropic

Llama 3.2 3B Instruct

Claude Haiku 4.5

Llama 3.2 3B Instruct

Claude Haiku 4.5

Llama 3.2 3B Instruct
DeepInfra