Claude Opus 4 vs Llama 3.3 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 3.3 70B

Meta

Meta's open-weight 70B model. Strong coding and general capability, widely supported across AI platforms.

Input$0.250/M
Output$1.00/M
Context128K tokens
Best ForSelf-hosted deployments, cost-effective coding, custom 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 3.3 70BSavings
Small Script (1K lines) $3.08 $0.04 Llama 3.3 70B saves $3.04 (99%)
Medium Feature (10K lines) $23.29 $0.29 Llama 3.3 70B saves $23.00 (99%)
Large Project (50K lines) $116.44 $1.44 Llama 3.3 70B saves $115.00 (99%)
Code Review (5K lines) $6.02 $0.07 Llama 3.3 70B saves $5.95 (99%)

Verdict

Llama 3.3 70B wins on both price and performance — $0.250/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