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Gemini 3.1 Flash-Lite
🇺🇸Google4mo
Context:1.0M tokens
Input:$0.25/1M
Output:$1.5/1M
Neura Index
60.1
Rank #108—
mediumCategory Profile
Benchmark Scores (7)
reasoning
| Benchmark | Score | Source |
|---|---|---|
| GPQA Diamond | 86.9 | verified |
| Humanity's Last Exam | 16 | verified |
multimodal
| Benchmark | Score | Source |
|---|---|---|
| MMMU-Pro | 76.8 | verified |
| CharXiv Reasoning | 73.2 | verified |
general
Performance History
Similar Models
Frequently Asked Questions about Gemini 3.1 Flash-Lite
What is Gemini 3.1 Flash-Lite's Neura Intelligence Index score?▾
Gemini 3.1 Flash-Lite by Google scores 60.1 out of 100 on the Neura Intelligence Index, ranking #108 among tracked AI models. This composite score is computed from 7 individual benchmarks across coding, math, reasoning, and language categories.
How much does Gemini 3.1 Flash-Lite cost to use?▾
Gemini 3.1 Flash-Lite costs $0.25/1M input tokens and $1.5/1M output tokens via API. At a typical 3:1 input-to-output ratio with 1M tokens/day usage, the estimated monthly cost is approximately $17.
Is Gemini 3.1 Flash-Lite open source?▾
No, Gemini 3.1 Flash-Lite is a proprietary model by Google. It is only accessible via their API.
What is Gemini 3.1 Flash-Lite's context window?▾
Gemini 3.1 Flash-Lite supports a context window of 1.0 million tokens, allowing it to process very long documents, codebases, and conversations in a single request.
What benchmark does Gemini 3.1 Flash-Lite perform best on?▾
Gemini 3.1 Flash-Lite achieves its highest score on MMMLU with a score of 88.9%. This benchmark evaluates multilingual massive multitask language understanding across many languages.