UABUnbiased AI BenchGlass box for model evals.
Every leaderboard, with receipts.
Home/Models/Gemini 3 Flash
Gemini 3 Flash
Live · updated continuously
Models · /models/gemini-3-flash

Gemini 3 Flash

Google · Closed weights · premium · registry tag 2026 current
textcodevisiondocumentaudiosearch6 aliases9 official receipts
Open compare
Last verified · May 1, 2026
Visible coverage · 18.2%
Verified coverage · 18.2%
Benchmark fit · 59.5%
Benchmark spread · 83.2%
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.
77.4% percentile inside its comparable group
35Raw 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.
17.6% percentile inside its comparable group
7.51sRaw benchmark value
Text Arena
AR · Chat / text · Human
It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.
94.3% percentile inside its comparable group
1,448Raw benchmark value
Code Arena
AR · Coding · Human
It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.
53.3% percentile inside its comparable group
1,389Raw benchmark value
Vision Arena
AR · Vision understanding · Human
It is useful when the model must read charts, UI, screenshots, or visual scenes rather than text alone.
91.1% percentile inside its comparable group
1,259Raw benchmark value
WebDev Arena
AR · Coding · Human
It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.
53.3% percentile inside its comparable group
1,389Raw benchmark value
Search Arena
AR · Search / tool use · Human
It matters when the model must browse, call tools, and recover useful answers from external systems.
77.8% percentile inside its comparable group
1,208Raw benchmark value
Document Arena
AR · Document understanding · Human
It matters when the job is reading PDFs, tables, forms, or mixed-layout documents rather than plain chat.
11.1% percentile inside its comparable group
1,421Raw benchmark value

Receipts and registry checks

official
Google Gemini models docs

May 1, 2026

source →
official
Artificial Analysis

May 1, 2026

source →
official
Artificial Analysis

May 1, 2026

source →
official
Arena

May 1, 2026

source →
official
Arena

May 1, 2026

source →
official
Arena

May 1, 2026

source →
official
Arena

May 1, 2026

source →
official
Arena

May 1, 2026

source →
official
Arena

May 1, 2026

source →