Context Window
1.0M tokens
Input Price/1M
$0.25
Output Price/1M
$1.50
Parameters
—
Max Output
66K tokens
Gemini 3.1 Flash Lite results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 68.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Coding Index | 30.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 54.9 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 73.2 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Math | 73.6 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Global | 61.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 33.5 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 82.2 | 100.0 | Artificial Analysis official API |
| LiveBench Reasoning | 59.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Gemini 3.1 Flash Lite is an AI model developed by Google, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Google's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Gemini 3.1 Flash Lite is usage-based, priced at $0.25/1M input tokens and $1.5/1M 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.
Gemini 3.1 Flash Lite was evaluated on 9 different benchmarks, covering categories like Coding, Data Analysis, Language, Math, 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.
Gemini 3.1 Flash Lite is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), multimodal processing combining text and images, high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Gemini 3.1 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.
Gemini 3.1 Flash Lite is an AI model developed by Google. It is a language model (LLM), with multimodal support (text, image and more).
Gemini 3.1 Flash Lite costs $0.25/1M input tokens and $1.5/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Gemini 3.1 Flash Lite scored: LiveBench Coding: 68.52/100, AA Coding Index: 30.1/100, LiveBench Data Analysis: 54.9/100. See the full table above for a detailed comparison.
No, Gemini 3.1 Flash Lite is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.
Gemini 3.1 Flash Lite excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 01, 2026 • View methodology →