Prove the lift · AI model performance evaluation
llama-3.1-405b vs llama-4-maverick
+11-point lift for llama-3.1-405b on code-review-bench
Test summary
This benchmark evaluates llama-3.1-405b against llama-4-maverick on the code-review-bench v2 dataset (5 rows), scored by an LLM-as-judge (gpt-4o-mini). llama-3.1-405b reached a 56% pass rate versus 45% for llama-4-maverick — a +11-point lift.
- Base model
- llama-4-maverick
- via meta · 45% pass rate
- Refined model
- llama-3.1-405b
- via meta · 56% pass rate · 1.0s p95
Base pass rate
45%
Refined pass rate
56%
Refined p95
1.0s
Est. tokens saved
7.3K
+0pts
refined beats base on 5 rows
0%
Base model0%
Invoked-refined▲0 improved▼1 regressed●4 unchanged
Per-row results
1Note a broken null-check after a refactor100% → 100%0
2Find a resource leak on an early-return path100% → 0%-100
3Catch an unsanitized input reaching a SQL string0% → 0%0
4Spot a race in a read-modify-write on shared state100% → 100%0
5Identify an N+1 query in an ORM call site100% → 100%0
Prove the lift on your own data.
Run any two models over your tasks, judged automatically, and see the improvement — in seconds.
Try InvokedGenerated with Invoked · Browse all benchmarks