Llama 4 Maverick
Llama 4 Maverick is an open-weights language model from Meta, released April 6, 2025. On the Epoch Capabilities Index it scores 132.1, rank 153 of 256 rated models.
Check it against your own PC →
Can you run Llama 4 Maverick locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Size unknown | – | – | – | – |
| 8 GB VRAM | Size unknown | – | – | – | – |
| 12 GB VRAM | Size unknown | – | – | – | – |
| 16 GB VRAM | Size unknown | – | – | – | – |
| 24 GB VRAM | Size unknown | – | – | – | – |
| 32 GB VRAM | Size unknown | – | – | – | – |
Parameter count unknown. The weights may not be on Hugging Face yet.
Strengths by category
ModelTape's 0–100 fit on Epoch AI benchmark results.
| Category | Score | Based on |
|---|---|---|
| Reasoning | 9.0 | SimpleBench, Humanity's Last Exam |
| Math | 18.0 | MATH level 5, OTIS Mock AIME 2024-2025, FrontierMath-2025-02-28-Private |
Benchmark results
| Benchmark (Epoch AI) | Score |
|---|---|
| MATH level 5 | 73.0% |
| GPQA Diamond | 58.3% |
| OTIS Mock AIME | 20.5% |
| Aider Polyglot | 15.6% |
| SimpleBench | 13.2% |
| Humanity's Last Exam | 5.7% |
| FrontierMath-2025-02-28-Private | 1.2% |
Links
Models with a similar score
Gemini 2.0 Pro · o1-mini · DeepSeek-V3 (Mar 2025) · Qwen3-30B-A3B-Instruct (Jul 2025) · gpt-oss-20b · GPT-4.1 mini · Qwen3-30B-A3B · Gemini 2.0 Flash (Feb 2025)
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