Model Comparison

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

Claude Opus 4.1

Anthropic

Claude Opus 4.1 is a multimodal language model developed by Anthropic. The model shows competitive results across 8 benchmarks. It excels particularly in MMMLU (98.4%), AIME 2025 (80.2%), MMMU (validation) (64.8%). 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

Performance Metrics

Context window and performance specifications

Claude Opus 4.1

Max Context:-

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 1 common benchmarks

Claude Opus 4.1

Average Score:5.3%

Llama 3.2 3B Instruct

+27.5%

Average Score:32.8%

Performance comparison across key benchmark categories

Claude Opus 4.1

general

+2.1%

44.6%

Llama 3.2 3B Instruct

general

42.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Claude Opus 4.1

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Claude Opus 4.1

Avg Score:5.3%

Providers:0

Llama 3.2 3B Instruct

+27.5%

Avg Score:32.8%

Providers:1