Skip to main content
Current modelGoogle

Gemini 3.5 Flash-Lite benchmarks, pricing and specs

Gemini 3.5 Flash-Lite is a Google model released on July 21, 2026 that takes text, image, audio and video input and produces text. It costs $0.30 per 1M input tokens and $2.50 per 1M output tokens and accepts up to 1,048,576 tokens of context. It scores 1455 Elo on Arena Text, #27 of 39 current models (Arena, measured October 8, 2026).

Per 1M input tokens
$0.30
Per 1M output tokens
$2.50
Context window
1.05M
Arena Text
1455 Elo · #27/39

Data verified October 12, 2026 · Dataset 2026-10-12

Share this

Key facts

Provider
Google
Model family
Gemini 3.5
Release date
July 21, 2026
Status
Current
Access
API only
API model id
Not reported
Context window
1,048,576 tokens
Max output
65,536 tokens
Input
text, image, audio, video
Output
text
Task families
text, multimodal
Declared capabilities
reasoning

Gemini 3.5 Flash-Lite pricing

It is the #6 cheapest of 37 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$0.30standardCurrent
1M output tokens$2.50standardCurrent
1M input tokens$0.03cachedCurrent

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Google's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
Arena Text1455 Elo#27 of 39October 8, 2026Arena · 2026-10-12
GPQA Diamond83.3%#32 of 37October 12, 2026Epoch AI · 2026-10-12
FrontierMath Tiers 1-3 (v2)26%#34 of 37October 12, 2026Epoch AI · 2026-10-12

Strengths, cautions and best uses

Strengths

  • Gemini 3.5 Flash-Lite is optimized for high-throughput, low-cost execution of subagent tasks and document parsing
  • Reads text, images, video, audio and PDF in a 1,048,576-token window with 65,536 output tokens, and supports thinking, function calling, code execution, search grounding and caching

Cautions

  • The represented prices are standard API rates; batch, flex, and priority consumption use different rates

Best for

  • High-volume extraction, structured parsing, and cost-sensitive subagent trials

Alternatives to Gemini 3.5 Flash-Lite

The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare Gemini 3.5 Flash-Lite with

Other Gemini 3.5 models

Gemini 3.5 Flash-Lite FAQ

How much does Gemini 3.5 Flash-Lite cost?

Gemini 3.5 Flash-Lite costs $0.30 per 1M input tokens and $2.50 per 1M output tokens at the standard tier. It is the #6 cheapest of 37 current text models priced per 1M input tokens. Source: Google, verified August 7, 2026.

What is the context window of Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite accepts up to 1,048,576 tokens of context. It can return up to 65,536 tokens in one response. That ranks #10 of 44 current text models by context length.

How does Gemini 3.5 Flash-Lite score on independent benchmarks?

Gemini 3.5 Flash-Lite scores 1455 Elo on Arena Text, #27 of 39 current models (Arena, measured October 8, 2026), 83.3% on GPQA Diamond, #32 of 37 current models (Epoch AI, measured October 12, 2026) and 26% on FrontierMath Tiers 1-3 (v2), #34 of 37 current models (Epoch AI, measured October 12, 2026). These are independent evaluations, not Google's own launch figures.

Is Gemini 3.5 Flash-Lite open source or API only?

Gemini 3.5 Flash-Lite is available through Google's API only; its weights are not published.

What are the best alternatives to Gemini 3.5 Flash-Lite?

The closest current alternatives by price and measured performance are GPT-6 Luna (67% cheaper per 1M input tokens, $0.10 vs $0.30), DeepSeek-V4.1-Flash (same price per 1M input tokens, $0.30), Gemini 3.1 Flash-Lite (17% cheaper per 1M input tokens, $0.25 vs $0.30) and GPT-4.1 mini (33% more per 1M input tokens, $0.40 vs $0.30).

Sources

Cite this page

Van Data Team. "Gemini 3.5 Flash-Lite Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/gemini-3-5-flash-lite

Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.

Production evaluation

Deciding whether Gemini 3.5 Flash-Lite fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls