LLM Comparison Claude 4.1 Opus LLaMA 3 8B

Claude 4.1 Opus vs LLaMA 3 8B

Compare Claude 4.1 Opus and LLaMA 3 8B. Find out which one is better for your use case.

Model Comparison

Feature	Claude 4.1 Opus	LLaMA 3 8B
Provider	Anthropic	Meta
Model Type	text	text
Context Window	1,000,000 tokens	8,192 tokens
Input Cost	$15.00 / 1M tokens	N/A
Output Cost	$75.00 / 1M tokens	N/A

Strengths & Best Use Cases

Claude 4.1 Opus

1. Advanced Coding Performance

Achieves 74.5% on SWE-bench Verified, improving the Claude family's state-of-the-art coding abilities.
Stronger at:
- Multi-file code refactoring
- Large codebase debugging
- Pinpointing exact corrections without unnecessary edits
Outperforms Opus 4 and shows gains comparable to jumps seen in past major releases.

2. Improved Agentic & Research Capabilities

Better at maintaining detail accuracy in long research tasks.
Enhanced agentic search and step-by-step problem solving.
Performs reliably across complex multi-turn reasoning tasks.

3. Validated by Real-World Users

GitHub: Better multi-file refactoring and code adjustments.
Rakuten Group: High precision debugging with minimal collateral changes.
Windsurf: One standard deviation improvement on their junior dev benchmark—similar magnitude to Sonnet 3.7 → Sonnet 4.

4. Hybrid-Reasoning Benchmark Improvements

Improvements across TAU-bench, GPQA Diamond, MMMLU, MMMU, AIME (with extended thinking).
Stronger robustness in long-context reasoning tasks.

LLaMA 3 8B

LLaMA 3 8B is a highly efficient, small-scale open-source model perfect for simpler tasks and edge devices. It's great for applications like chatbots, text classification, and sentiment analysis where resource constraints are a concern. Its speed and small footprint make it easy to deploy.