Claude Opus 4 vs Databricks Llama 3.1 405B

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

Databricks Llama 3.1 405B

Databricks

Meta's 405B model hosted on Databricks. Largest open-weight model available for enterprise use.

Input$5.00/M
Output$15.00/M
Context128K tokens
Best ForEnterprise AI, complex reasoning, 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 4Databricks Llama 3.1 405BSavings
Small Script (1K lines) $3.08 $0.63 Databricks Llama 3.1 405B saves $2.45 (80%)
Medium Feature (10K lines) $23.29 $4.75 Databricks Llama 3.1 405B saves $18.54 (80%)
Large Project (50K lines) $116.44 $23.75 Databricks Llama 3.1 405B saves $92.69 (80%)
Code Review (5K lines) $6.02 $1.25 Databricks Llama 3.1 405B saves $4.77 (79%)

Verdict

Databricks Llama 3.1 405B wins on both price and performance — $5.00/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