Claude Opus 4 vs Llama 3.1 8B

Performance benchmarks + pricing comparison — updated April 2026

Claude Opus 4

Anthropic

Anthropic's most powerful model. Best for complex reasoning and challenging coding tasks.

Input$15.00/M
Output$75.00/M
Context200K tokens
Best ForComplex architecture decisions, debugging hard bugs, research
Benchmark86/100

Llama 3.1 8B

Meta

Meta's smallest Llama 3.1 model. Open weights, deploy anywhere. Great for self-hosted applications.

Input$0.050/M
Output$0.100/M
Context128K tokens
Best ForSelf-hosted AI, fine-tuning, budget applications

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioClaude Opus 4Llama 3.1 8BSavings
Small Script (1K lines) $3.08 <$0.01 Llama 3.1 8B saves $3.07 (100%)
Medium Feature (10K lines) $23.29 $0.04 Llama 3.1 8B saves $23.25 (100%)
Large Project (50K lines) $116.44 $0.19 Llama 3.1 8B saves $116.25 (100%)
Code Review (5K lines) $6.02 $0.01 Llama 3.1 8B saves $6.01 (100%)

Verdict

Llama 3.1 8B wins on both price and performance — $0.050/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models