Model profile
Google
New in 2026

Google: Gemini 3.5 Flash Lite

Google: Gemini 3.5 Flash Lite is a budget-priced multimodal generalist from Google with heavy runtime profile, large context posture, and the clearest fit around long-context research / agent workflows.

Best for: Long-context research / Agent workflowsHeavy latencyLarge contextBudget pricing
Intelligence
37.4

Benchmark blend

Coding
49.3

Dev workflow signal

Context
1049K Tokens

Large

Input Price
$0.30

Budget tier

Decision snapshot
59

Google: Gemini 3.5 Flash Lite currently reads as a budget multimodal option with large context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Agent workflows
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
37.4
37

General reasoning and benchmark headroom.

Limited
Speed
361 tok/s
50

TTFT 7.25s

Situational
Context
1049K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$0.30
86

$2.50 output / 1M

Efficient

Editorial Profile

Google: Gemini 3.5 Flash Lite in one narrative

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

Selective fitCoding score 49Math score N/AVision enabled

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

Identity

Google multimodal profile

Positioning

Long-context research / Agent workflows 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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Input Price
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Google: Gemini 3.7 Flash

Intelligence
53.4
Context
1049K Tokens
Input Price
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Gemini 3.5 Flash (high)

Intelligence
52.0
Context
N/A
Input Price
$1.50

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
37.4
GPQA
83.8%
HLE
18.8%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
49.3
SciCode
40.9%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

LCR
74.7%

Extra benchmark cuts are not available for this category yet.

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
audio, file, image, text, video
Tokenizer
Gemini
Max Completion
65536
Moderation
No
Supported Parameters
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Input Modalities
audiofileimagetextvideo
Output Modalities
text
Price architecture
Input
per 1M input tokens
$0.30
Output
per 1M output tokens
$2.50
Blended
AA 3:1 mix
$0.85

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 Web Search Price
$0.0140
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.