Best cell per row highlighted. Null means undisclosed — never counted as zero.
| Provider | Meta | Meta |
| Family / tier | Llama 4 · Maverick | Llama 3 · Large |
| Status | GA | GA |
| Released | 2025-04-04 | 2024-12-05 |
| Knowledge cutoff | 2024-08 | 2023-12 |
| Context window | 1M | 128K |
| Max output tokens | 8K | 4K |
| Input modalities | text, image | text |
| Reasoning mode | none | none |
| Open weights | Yes | Yes |
| Input | $0.2 | $0.12 |
| Output | $0.85 | $0.4 |
| Cached input | — | — |
| Batch input | — | — |
| Free tier | No | No |
| Output speed (tok/s) | 104.3 | 81.8 |
| Time to first token (s) | 0.66 | 0.4 |
| Latency tier | fast | fast |
| Trains on inputs | No | No |
| License | Llama-4-Community | Llama-3-Community |
| Clouds | Bedrock, Vertex AI, Azure AI Foundry, GCP, OCI, IBM watsonx | Bedrock, Vertex AI, Azure AI Foundry, GCP, OCI, IBM watsonx |
| Compliance | — | — |
| Unified score | 7.7 | 7.4 |
| Decision Maker | 8.5 | 8 |
| Domain Strategist | 7.5 | 7 |
| Finance Lead | 9 | 8 |
| Domain Practitioner | 7.5 | 8 |
| Power User | 6.5 | 7 |
| Skeptic | 5.5 | 6.5 |
| Value score | 9 | 8.5 |
| MMLU | 85.5 | 86 |
| MMLU-Pro | 80.5 | 68.9 |
| GPQA Diamond | 69.8 | 50.5 |
| MATH-500 | 61.2 | 77 |
| HumanEval | 85.8 | 88.4 |
| LiveCodeBench | 43.4 | — |
| Aider Polyglot | 15.6 | — |
| MMMU | 73.4 | — |
| IFEval | — | 92.1 |
| LMArena Elo | 1271 | 1257 |
| Artificial Analysis Index | 18 | 14 |
Scores link to their sources. Missing cells mean the vendor hasn't disclosed a result — honesty over padding.