Claude Opus 4 vs Llama 3.1 70B

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 70B

Meta

Meta's mid-size Llama 3.1. Strong general performance with open weights for custom deployment.

Input$0.200/M
Output$0.400/M
Context128K tokens
Best ForGeneral AI tasks, custom deployment, fine-tuning

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 70BSavings
Small Script (1K lines) $3.08 $0.02 Llama 3.1 70B saves $3.06 (99%)
Medium Feature (10K lines) $23.29 $0.15 Llama 3.1 70B saves $23.14 (99%)
Large Project (50K lines) $116.44 $0.75 Llama 3.1 70B saves $115.69 (99%)
Code Review (5K lines) $6.02 $0.04 Llama 3.1 70B saves $5.97 (99%)

Verdict

Llama 3.1 70B wins on both price and performance — $0.200/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