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Last scan 2026-10-20 Models tracked 293 Providers 40 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Gemini 3.5 Flash-Lite

by Google

Current budget cheap tier
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Today's price · per 1M tokens

Input

$0.300

per 1M tokens

Output

$2.50

per 1M tokens

Blended

$0.850

blended $/1M — 3:1 weighted input:output

Cached input

$0.030

10% of input — prompt caching

How this price is scoped: Verified against Google's Gemini API pricing page (ai.google.dev) on 2026-07-28: the Gemini 3.5 Flash-Lite Standard paid tier is $0.30/1M input, $2.50/1M output, $0.03/1M context caching (batch tier $0.15/$1.25). The identical $0.30/$2.50 price shared with the deprecated Gemini 2.5 Flash reflects Google's uniform Flash tier pricing, not a placeholder — the value matches LiteLLM gemini/gemini-3.5-flash-lite.

Source: official Google pricing · read MODELPRICEWATCH.COM · 2026-10-20

Price receipt

We read Google's own pricing page on and found Gemini 3.5 Flash-Lite listed with a price on the same card — that read is where the number above comes from. We keep the page text we read; its content hash is 2b5d2335c5.

Overview

Ultra-cheap, fast tier of the Gemini 3.5 family at $0.30/1M input and $2.50/1M output, with full multimodal input and a 1M-token context. Cheapest way to run agentic and high-volume workloads on Gemini 3.5.

Capabilities

struck through = not supported
Input 4/4
Text ✓ Image ✓ Audio ✓ Video ✓
Output
Text ✓
Features 4/9
Prompt caching ✓ Reasoning Coding Fast inference ✓ Long context ✓ Open weights Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score53.4%
Perf per $/Mtok62.8
GPQA Diamond
83.8%
SWE-Bench Verified
75%
Terminal-Bench 2.1 vendor
54%
LiveCodeBench
79%
OSWorld-Verified vendor
74%
Humanity's Last Exam
18.8%
ARC-AGI 2
10.3%
Independent composite scores
  • AA Intelligence Index: 22.2 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 5.2 (−100–100)
  • GDPval-AA v2: 983.3 ELO (Real-world work tasks, human baseline = 1000)
  • LMSYS Chatbot Arena: 1454.8 ELO (Human preference)
How it stacks up
  • Ranks #79 of 101 benchmarked models by average score
  • Ranks #107 of 195 comparably-measured models by percentile score, across 9 independent measurements
  • Ranks #57 of 195 comparably-tested models by normalized performance per dollar
  • Strongest at SWE-Bench Verified — 75%, #22 of 40

365.2 tokens/sec output

Source: ARC Prize verified leaderboard, ARC-AGI-2 semi-private eval, High effort, Artificial Analysis, Artificial Analysis (text-only, no tools, default row, no effort printed) · updated · See full rankings →

Specifications

Provider
Google
Context window
1M tokens
Modality
text, image, audio, video
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
fastmultimodalbudget

Availability verified: — listed on Google's own page

Try on Google Official pricing page