Meta
availableShows if the model has enough results for an index.Llama 4 Maverick
Llama 4 Maverick is a non-reasoning model from Meta. 19 benchmarks count toward its score, in 7 categories.
IndexOverall score out of 100.33.6 ±4.2
CoverageShare of the index weight with results.95%
SpeedOutput tokens per second.3/s
Input / 1MUS dollars per 1M input tokens.$0.188
Output / 1MUS dollars per 1M output tokens.$0.653
ContextMaximum tokens in one request.1.05M
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
19 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| MATH level 5 | Math | 73.0% | 34.6 | — | — | Epoch AI |
| Artificial Analysis GPQA Diamond | Knowledge | 67.1% | 37.3 | — | — | Artificial Analysis |
| GPQA diamond | Knowledge | 67.0% | 40.1 | — | — | Epoch AI |
| Artificial Analysis MMMU-Pro | Multimodal | 62.1% | 43.0 | — | — | Artificial Analysis |
| Artificial Analysis Long Context Reasoning | Reasoning | 50.0% | 42.8 | — | — | Artificial Analysis |
| Artificial Analysis IFBench | Instruction | 43.0% | 32.7 | — | — | Artificial Analysis |
| Artificial Analysis SciCode | Coding | 31.7% | 36.9 | — | — | Artificial Analysis |
| Artificial Analysis Omniscience Accuracy | Knowledge | 24.9% | 44.7 | — | — | Artificial Analysis |
| OTIS Mock AIME 2024-2025 | Math | 20.6% | 23.1 | — | — | Epoch AI |
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 17.8% | 11.6 | — | — | Victor Barres et al. |
| Artificial Analysis Coding Index | Coding | 16.3% | 30.4 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 10.0% | 34.9 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 4.9% | 29.9 | — | — | Artificial Analysis |
| ARC-AGI-1 (semi-private) | Reasoning | 4.4% | 29.3 | — | — | ARC Prize Foundation |
| FrontierMath-2025-02-28-Private | Math | 0.7% | 31.3 | — | — | Epoch AI |
| Artificial Analysis Agentic Index | Agentic | 0.6% | 37.7 | — | — | Artificial Analysis |
| GDPval-AA normalized | Agentic | 0.0% | 35.6 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.0% | 38.4 | — | — | Artificial Analysis |
| ARC-AGI-2 (semi-private) | Reasoning | 0.0% | 39.7 | — | — | ARC Prize Foundation |
19 benchmarks count, from 19 of 19 results. A grey row does not count. Too few models took that benchmark.