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Gemini 3.5 Flash Lite

by Google DeepMind · Released Jul 2026

Multimodal1M Context
38.5
avg score
Rank #204
Compare
Better than 35% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$0.30
Output $/1M
$2.50
Type
multimodal
License
Proprietary
Benchmarks
22 tested
Data as of
About

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.

Tested on 22 benchmarks · BenchGecko score 38.5. Top scores: Chatbot Arena Elo — Overall (1455.0%), Chatbot Arena Elo — Coding (1439.7%), Artificial Analysis · GPQA Diamond (83.8%).

Looking for similar performance at lower cost?
Qwen3 14B scores 39.2 (102% as good) at $0.12/1M input · 60% cheaper
Capabilities
coding
39.0
#137 globally
reasoning
31.9
#117 globally
math
32.3
#178 globally
knowledge
47.9
#143 globally
speed
43.1
#50 globally
general
35.1
#105 globally
Benchmark Scores
Compare All
Tested on 22 benchmarks · Ranked across 7 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

39.0·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

53.5·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

10.3·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

71.1·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
BenchGecko API
gemini-3-5-flash-lite
Specifications
  • Typemultimodal
  • Context1.0M tokens (~524 books)
  • ReleasedJul 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.003
Available On
Google DeepMind logoGoogle DeepMind$0.30
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Gemini 3.5 Flash Lite is a proprietary multimodal AI model by Google DeepMind, released in July 2026. It has an average benchmark score of 38.5. Context window: 1M tokens.

Key facts · as of 2026-10-05

  • Gemini 3.5 Flash Lite by Google DeepMind. BenchGecko score 38.5, rank 204 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.30 input · $2.50 output per 1M tokens (as of 2026-10-05).
  • Sold by 8 providers (as of 2026-10-05): Google $0.15 in / $1.25 out · Google AI Studio $0.15 in / $1.25 out · Google $0.30 in / $2.50 out · Google AI Studio $0.30 in / $2.50 out · Google $0.33 in / $2.75 out · and 3 more. Every provider
  • Gecko Tests: Who Are You B (Knows who made it) · Tokenizer Tax B (44% more tokens outside English).

How to cite · data as of 2026-10-05

Gemini 3.5 Flash Lite · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gemini-3-5-flash-lite

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP