Specifications
Context Window
—
Input Price/1M
$0.30
Output Price/1M
$2.50
Parameters
—
Speed
391 tok/s
Latency (TTFT)
10.0s
Benchmarks
Gemini 3.5 Flash-Lite results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 49.3 | 100.0 | Artificial Analysis official API |
| SciCode | 41.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 62.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 37.4 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 83.8 | 100.0 | Artificial Analysis official API |
| HLE | 18.0 | 100.0 | — |
Information
- Release date
- July 21, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Gemini 3.5 Flash-Lite
What is Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is an AI model developed by Google, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Google's cloud API.
Pricing & Costs in 2026
Gemini 3.5 Flash-Lite is usage-based, priced at $0.3/1M input tokens and $2.5/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Gemini 3.5 Flash-Lite was evaluated on 6 different benchmarks, covering categories like Coding, Long Context, overall, Reasoning. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Gemini 3.5 Flash-Lite is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Gemini 3.5 Flash-Lite competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is an AI model developed by Google. It is a language model (LLM).
How much does Gemini 3.5 Flash-Lite cost?
Gemini 3.5 Flash-Lite costs $0.3/1M input tokens and $2.5/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Gemini 3.5 Flash-Lite compare with other models?
In available benchmarks, Gemini 3.5 Flash-Lite scored: AA Coding Index: 49.3/100, SciCode: 41/100, AA-LCR: 62/100. See the full table above for a detailed comparison.
Is Gemini 3.5 Flash-Lite open source?
No, Gemini 3.5 Flash-Lite is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Gemini 3.5 Flash-Lite best for?
Gemini 3.5 Flash-Lite excels at general-purpose language tasks.
Last updated: August 10, 2026 • View methodology →