UABUnbiased AI BenchGlass box for model evals.
Every leaderboard, with receipts.
Home/Models/Llama 4 Maverick
Llama 4 Maverick
Live · updated continuously
Models · /models/llama-4-maverick

Llama 4 Maverick

Meta · Open weights · mid · registry tag 2026 open multimodal
textvision5 aliases2 official receipts
Open compare
Last verified · May 1, 2026
Visible coverage · 13.6%
Verified coverage · 13.6%
Benchmark fit · 24.6%
Benchmark spread · 82.4%
Build / data stamp

Read this before trusting a headline.

Data snapshot May 1, 2026Registry verification passed9 providers · 826 tracked modelsPage refreshed May 7, 2026

Model pages expose the current registry snapshot and page stamp so stale deployments are visible without reading the code.

Score passport by benchmark

Each row keeps the benchmark receipt, source family, raw metric, and percentile inside its exact comparable group.

Thin verified coverageThis model currently reads as thin verified coverage across the resolved evidence surface.
Intelligence Index
AA · Chat / text · Composite
It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.
42.1% percentile inside its comparable group
18Raw benchmark value
Time to first token
AA · Chat / text · Speed / cost
It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.
82.4% percentile inside its comparable group
1.06sRaw benchmark value
TutorBench
SL · Reasoning / math / science · Rubric
It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.
0% percentile inside its comparable group
40.2%Raw benchmark value
MASK
SL · Safety · Rubric
Whether a model stays honest instead of covertly optimizing against the user.
23.1% percentile inside its comparable group
49.7%Raw benchmark value
Multimodal mix
OC · Document understanding · Objective
It matters when the job is reading PDFs, tables, forms, or mixed-layout documents rather than plain chat.
0% percentile inside its comparable group
67.4%Raw benchmark value
VISTA
SL · Vision understanding · Rubric
It is useful when the model must read charts, UI, screenshots, or visual scenes rather than text alone.
0% percentile inside its comparable group
69%Raw benchmark value

Receipts and registry checks

official
Meta Llama 4 announcement

May 1, 2026

source →
official
Artificial Analysis

May 1, 2026

source →