Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Claude Opus 4
Anthropic
Claude Opus 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 64.6% across 9 benchmarks. It excels particularly in MMMLU (88.8%), TAU-bench Retail (81.4%), GPQA (79.6%). It supports a 328K 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 2025, it represents Anthropic's latest advancement in AI technology.

Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.2 3B Instruct
Meta
2024-09-25

Claude Opus 4
Anthropic
2025-05-22
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Claude Opus 4

Llama 3.2 3B Instruct
Performance Metrics
Context window and performance specifications

Claude Opus 4

Llama 3.2 3B Instruct
Average performance across 1 common benchmarks

Claude Opus 4

Llama 3.2 3B Instruct
Performance comparison across key benchmark categories

Claude Opus 4

Llama 3.2 3B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Claude Opus 4
Bedrock
Anthropic

Llama 3.2 3B Instruct
DeepInfra

Claude Opus 4

Llama 3.2 3B Instruct