Gemini

Gemini 3.5 Flash Lite

GeminiCompact
ThinkingTool UseVisionStructured Output

About this model

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.

Performance Tier

Compact

Gemini 3.5 Flash Lite is a compact model from Gemini : optimized for speed and affordability.

Small, fast, and affordable. Optimized for speed and low cost, great for high-volume or simple tasks.

Pricing

This model is included in Elosia plans
Affordable

Low cost. Suitable for sustained use and high-volume interactions.

Typeper 1M tokens
Input (prompt)$0.300
Output (completion)$2.50
Image$0.300
Internal reasoning$2.50
Cache read$0.030
Cache write$0.083

Capabilities

Context Length1.0M
Max Output Tokens66K
TokenizerGemini
Inputtext, image, video, file, audio
Outputtext
Release DateJuly 21, 2026

Benchmarks

General Intelligence
MMLU
Not reported
GPQA Diamond
83.8%
Mathematics
MATH-500
Not reported
Programming
HumanEval
Not reported
Reasoning
Humanity's Last Exam
17.5%
Multimodal
MMMU-Pro
79%
Agentic
SWE-bench Pro
54.2%
Terminal-Bench 2.1
54%

Where does Gemini 3.5 Flash Lite stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

General ChatSummarizationData ExtractionCustomer SupportTranslation

Strengths

  • Ultra-low-cost, high-speed inference (~448 tokens/s) at $0.30/$2.50 per M tokens
  • Outperforms the larger Gemini 3 Flash on agentic coding (SWE-bench Pro 54.2% vs 49.6%)
  • Strong knowledge and multimodal grounding for a lite model (GPQA Diamond 83.8%, MMMU-Pro 79.0%)
  • 1M-token context with full multimodal input (text, image, video, audio) and a built-in thinking mode

Limitations

  • Weak on the hardest reasoning (Humanity's Last Exam 17.5%): a lite model, not a frontier reasoner
  • Google reports only agentic and coding evals; the GPQA, MMMU-Pro and HLE scores here come from third-party testing (Artificial Analysis)

Frequently asked questions

Resources

This model may use your data for training

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