All benchmarks
Meta AI · USA · Released 2025-04
Llama 4 Maverick
Meta's flagship MoE model — 400B total / 17B active — with native multimodal input and 1M-token context.
Access
open-weights
Context
1,000,000 tokens
Modalities
text, vision
Languages
12 (official)
Benchmark scores
MMLU
85.5%
Massive Multitask Language Understanding
GPQA
69.8%
Graduate-level science QA (Diamond)
HumanEval
88.0%
Python code completion
SWE-bench
N/A
Real GitHub issue resolution (Verified)
LiveCodeBench
N/A
Contamination-free coding
AIME
N/A
American Invitational Mathematics Exam
MMMU
73.4%
Multimodal college-level reasoning
MATH
78.0%
Competition-level math word problems
Scores as reported by the vendor or leading public leaderboards. "N/A" means the score has not been publicly disclosed for this metric.
Explain like I'm 5
A giant open model that sees images and reads huge documents.
Key features
- Mixture-of-Experts
- Native multimodal
- 1M context
- Open weights
Strengths
- Open weights
- Great cost/perf
- Long context
Limitations
- Below closed frontier on hardest reasoning
Best for
Self-hosted assistantsFine-tuningOn-prem RAG
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