Compare / DeepSeek V3.2 Exp vs llama-4-maverick-17b-128e-instruct-fp8
DeepSeek V3.2 Exp vs llama-4-maverick-17b-128e-instruct-fp8
10 results from 2 sources that measured both models. Each row is in the source's own units; there is no overall winner.
| Benchmark | Metric | DeepSeek V3.2 Exp | llama-4-maverick-17b-128e-instruct-fp8 |
|---|---|---|---|
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Irrelevance detection% correct | 93.2% | 56.0% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Memory% correct | 54.2% | 18.9% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Multi-turn tasks% correct | 44.9% | 20.2% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Overall accuracy% correct | 56.7% | 37.3% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Relevance detection% correct | 93.8% | 100.0% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Single-turn calls (curated)% correct | 85.5% | 88.7% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Single-turn calls (user-contributed)% correct | 76.0% | 73.7% |
| Berkeley Function Calling Leaderboard (BFCL) V4reported | Web search% correct | 69.5% | 28.0% |
| Vectara Hallucination Leaderboardreported | Answer rate% of documents | 96.6% | 100.0% |
| Vectara Hallucination Leaderboardreported | Hallucination rate% of summaries | 5.3% | 8.2% |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.