Gemini 3 Flash vs Gemini 3.5 Flash

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Gemini Flash is Google's multimodal reasoning option for everyday questions, coding and tool use with practical latency. It produces text from text, images, audio and video, combining thinking and tool support while remaining distinct from separate live-audio or image-generation models. AIB places document work in the middle of the pack, a current comparative position rather than a guaranteed success rate. Long inputs and tool access do not guarantee complete understanding or correct actions, so verify source-grounded answers and tool results on real tasks. Compare response time and total token use with correction effort, retries and service terms on representative inputs, rather than choosing solely from a demonstration or a headline benchmark.

Author
GoogleGoogle
Release Date
2025-12-17
Knowledge Cutoff
2025-01-31
License
Proprietary
I/O Format
Context Length
1.0M / 66K
API I/O (1M)
✦$0.5 / $3
How to Use
API Access
Overall Eval
Output Speed
91 tok/s
Arena Text
1473
Intelligence Index
—
Coding Index
42.6
Math Index
97.0
LiveBench
54.4
ForecastBench
59.3
Reasoning Eval
GPQA Diamond
89.8%
HLE
36.6%
MMLU-Pro
89.0%
AIME 2025
97.0%
MATH-500
—
LB Reasoning
49.2
LB Math
68.1
LB Data Analysis
48.3
Coding Eval
LiveCodeBench
90.8%
LB Coding
✦78.6
LB Agentic
43.3
TAU2
80.4%
TerminalBench
38.6%
SciCode
50.6%
Language Eval
IFBench
✦78.0%
AA-LCR
✦0.8
Hallucination (HHEM)
13.5%
Factual Consistency (HHEM)
86.5%
LB Language
78.7
LB Instruction Following
28.3

Gemini Flash is Google's multimodal reasoning model for text generation, coding and tool-connected workflows. It targets Flash-class efficiency with coding and parallel agent work, while search, code execution and function calling depend on the configured environment rather than automatic control of every app. AIB places coding in the middle of the pack, a current comparative position rather than a guaranteed success rate. Long inputs and tool access do not guarantee complete understanding or correct actions, so verify source-grounded answers and tool results on real tasks. Compare response time and total token use with correction effort, retries and service terms on representative inputs, rather than choosing solely from a demonstration or a headline benchmark.

Author
GoogleGoogle
Release Date
2026-05-19
Knowledge Cutoff
2025-01
License
Proprietary
I/O Format
Context Length
✦10.5M / 66K
API I/O (1M)
$1.5 / $9
How to Use
API Access
Overall Eval
Output Speed
✦152 tok/s
Arena Text
✦1476
Intelligence Index
—
Coding Index
✦70.1
Math Index
—
LiveBench
✦74.6
ForecastBench
—
Reasoning Eval
GPQA Diamond
✦92.2%
HLE
✦42.7%
MMLU-Pro
—
AIME 2025
—
MATH-500
—
LB Reasoning
✦82.0
LB Math
✦88.2
LB Data Analysis
✦64.9
Coding Eval
LiveCodeBench
—
LB Coding
78.2
LB Agentic
✦49.0
TAU2
✦95.6%
TerminalBench
✦46.2%
SciCode
✦53.9%
Language Eval
IFBench
76.3%
AA-LCR
0.7
Hallucination (HHEM)
—
Factual Consistency (HHEM)
—
LB Language
✦84.6
LB Instruction Following
✦75.6

Top 10 models in the overall ranking

Updated 2026-11-08
See the full ranking
RankModelOverallAutomationDocs & officeCodingCost (per 1M tokens)Output speed
🥇Gemini 4 CarbonGoogle—92.1 tok/s
🥈Claude Opus 5.5Anthropic$16.0078.5 tok/s
🥉Claude Fable 5.1Anthropic$40.0068.0 tok/s
4Claude Fable 5Anthropic$40.0055.0 tok/s
5Gemini 4 ArgonGoogle$8.0035.0 tok/s
6GPT-6 AstraOpenAI$40.0036.5 tok/s
7GPT-6.1 SolOpenAI—$8.0041.5 tok/s
8Muse WonderMeta—$16.0088.0 tok/s
9Muse Spark 1.3Meta$3.5091.5 tok/s
10Claude Opus 5Anthropic$20.0066.0 tok/s

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