86.1%
MMLU
Models / Meta
Llama 4 · Released 2026-04-05
Meta's reasoning-focused Llama 4 MoE. 1M context, 17B active / 400B total params, 128 experts. Open weights for multimodal assistants and coding.
Default Llama 4 pick for quality-first self-hosting when Scout's 10M context isn't required.
66average across 8 tested families
Where Llama 4 Maverick places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
The three highest-scoring carded models in each capability family. Where Llama 4 Maverick shows up, it's highlighted.
Benchmark rows added to the public ledger for Llama 4 Maverick in the last 120 days. Older rows live in the full table below.
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover or tab any dot for name, score, and input price.
Every catalog benchmark for Llama 4 Maverick. Scores link to the original source; gaps mean no public row exists yet.
21 of 32 catalog benchmarks have a sourced row for Llama 4 Maverick.
14.3%
AA Intelligence Index v4.1
69.4%
GPQA Diamond
4.8%
HLE (AA run)
42.99%
IFBench (AA run)
62.1%
LiveBench
91.8% pass@1
HumanEval
39.7%
LiveCodeBench (AA run)
33.1%
SciCode (AA run)
74.8%
SWE-bench Verified
7.87%
Terminal-Bench v2.1 (AA run)
3.92%
τ³-Bench Banking (AA run)
61.4%
MMMU
46%
AA-LCR (AA run)
49.8%
LongBench v2
75.9%
BFCL
110 t/s
Median output tokens/s (1k prompt, default provider)
0.60s
Median time to first token (1k prompt, default provider)