Model profile
Google

Google: Gemini 2.5 Flash Lite Preview 09-2025

Google: Gemini 2.5 Flash Lite Preview 09-2025 is a budget-priced multimodal generalist from Google with partial runtime data, large context posture, and the clearest fit around long-context research / multimodal.

Best for: Long-context research / MultimodalN/A latencyLarge contextBudget pricing
Intelligence
19.4

Benchmark blend

Coding
14.5

Dev workflow signal

Context
1049K Tokens

Large

Input Price
$0.10

Budget tier

Decision snapshot
47

Google: Gemini 2.5 Flash Lite Preview 09-2025 currently reads as a budget multimodal option with large context and a partially published runtime profile.

Overall profile
Use-case specific
Best for
Long-context research / Multimodal
Latency tier
N/A
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
19.4
19

General reasoning and benchmark headroom.

Limited
Speed
N/A
N/A

Latency data is partial.

Unavailable
Context
1049K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$0.10
86

$0.40 output / 1M

Efficient

Editorial Profile

Google: Gemini 2.5 Flash Lite Preview 09-2025 in one narrative

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

Use-case specificCoding score 15Math score 47Vision enabled

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

Identity

Google multimodal profile

Positioning

Long-context research / Multimodal with large context and partially published 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 data is incomplete, so interactive responsiveness is harder to rank confidently.

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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Context
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Context
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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
19.4
MMLU Pro
79.6%
GPQA
65.1%
HLE
4.6%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
14.5
LiveCodeBench
0.641
SciCode
28.5%
Math

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

Math Index
46.7
AIME 2025
46.7%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
41.8%
TAU2
30.4%
TerminalBench Hard
7.6%
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
audio, file, image, text, video
Tokenizer
Gemini
Max Completion
65535
Moderation
No
Supported Parameters
include_reasoningmax_tokensreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Input Modalities
audiofileimagetextvideo
Output Modalities
text
Price architecture
Input
per 1M input tokens
$0.10
Output
per 1M output tokens
$0.40
Blended
AA 3:1 mix
$0.17

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.