Claude Opus 5 vs Llama 4 (405B)
Head-to-head technical comparison of intelligence, capabilities, and API pricing.
Claude Opus 5
Anthropic
AI Mastery Index96.6
LMSYS Arena1493
Technical (MMLU-Pro)95.7%
Cost per 1M Tokens$5
Llama 4 (405B)
Meta
AI Mastery Index90.5
LMSYS Arena1440
Technical (MMLU-Pro)90.5%
Cost per 1M Tokens$0
Which should you use?
Claude Opus 5 leads on the composite index by 6.1 points (96.6 vs 90.5).
Only Llama 4 (405B) ships open weights, which decides it outright if the workload has to run on your own hardware.
Pick Claude Opus 5 when
- Higher composite index — 96.6 against 90.5, a gap of 6.1 points.
- Ahead on Arena Elo by 53 points (1493 vs 1440), which is outside the board's published confidence intervals.
- Stronger on MMLU-Pro: 95.7% against 90.5%.
Pick Llama 4 (405B) when
- Open weights, so it is the only one of the two you can run on your own hardware or keep data entirely in-house.
Where these numbers come from
Figures as of 2026-09-07. Arena Elo and pricing are read from the public board and each vendor's own pricing page; see the full leaderboard for all 34 models and which columns are measured rather than estimated, or the benchmark matrix for scores benchmark by benchmark.
