Model profile
google

Google: Gemini 3 Flash Preview

Google: Gemini 3 Flash Preview is a budget multimodal generalist from google with a heavy runtime profile, large context posture, and the clearest fit around long-context research / multimodal.

Best for: Long-context research / MultimodalHeavy latencyLarge contextBudget pricing
Intelligence
46.4

Benchmark blend

Coding
37.8

Dev workflow signal

Context
1049K Tokens

Large

Input Price
$0.50

Budget tier

Decision snapshot
61

Google: Gemini 3 Flash Preview currently reads as a budget multimodal option with large context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Multimodal
Latency tier
Heavy
Price tier
Budget
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
46.4
46

General reasoning and benchmark headroom.

Situational
Speed
161 tok/s
50

TTFT 5.93s

Situational
Context
1049K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$0.50
86

$3.00 output / 1M

Efficient

Editorial Profile

Google: Gemini 3 Flash Preview in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score 38Math score 56Vision enabled

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool use performance with substantially lower latency than larger Gemini variants, making it well suited for interactive development, long running agent loops, and collaborative coding tasks. Compared to Gemini 2.5 Flash, it provides broad quality improvements across reasoning, multimodal understanding, and reliability. The model supports a 1M token context window and multimodal inputs including text, images, audio, video, and PDFs, with text output. It includes configurable reasoning via thinking levels (minimal, low, medium, high), structured output, tool use, and automatic context caching. Gemini 3 Flash Preview is optimized for users who want strong reasoning and agentic behavior without the cost or latency of full scale frontier models.

Identity

google multimodal profile

Positioning

Long-context research / Multimodal with large context and heavy runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

Best fit
  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Context
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Intelligence
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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
46.4
MMLU Pro
89.0%
GPQA
89.8%
HLE
14.1%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
37.8
LiveCodeBench
0.797
SciCode
49.9%
Math

Formal reasoning, structured problem solving, and competition-style math.

Math Index
55.7
AIME 2025
55.7%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
55.1%
TAU2
43.3%
TerminalBench Hard
31.8%
LCR
48.0%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
1049K Tokens
Vision
Enabled
Modalities
text, image, file, audio, video->text, video
Tokenizer
Gemini
Max Completion
65536
Moderation
No
Supported Parameters
include_reasoningmax_tokensreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Input Modalities
textimagefileaudiovideo
Output Modalities
text
Price architecture
Input
per 1M input tokens
$0.50
Output
per 1M output tokens
$3.00
Blended
AA 3:1 mix
$1.13

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

OR Image Price
$0.0000
OR Audio Price
$0.0000
OR Cache Read
$0.00
OR Cache Write
$0.00
OR Internal Reasoning
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.