Model Details
Owner
Google
Released
May 2026
Status
Active
Context Length
1,048,576
Max Output
65,536
Provider
Perplexity
Where is gemini-3.1-flash-lite a perfect fit?
Gemini 3.1 Flash-Lite is Google's low-latency, cost-efficient Gemini model optimized specifically for high-frequency, lightweight workloads at scale.
- High-volume translation of messages, reviews, support tickets, and other content
- Data extraction, classification, tagging, moderation, and transformation
- High-throughput agentic workflows involving tool calling and orchestration
- Multimodal analysis across text, images, video, audio, and PDFs
- Search-grounded applications requiring current external information
- Cost-sensitive applications processing very large request volumes
- Responsive applications where low latency is more important than maximum frontier intelligence
- Code-execution, file-search, structured-output, and function-calling workflows
- High-volume translation of messages, reviews, support tickets, and other content
- Data extraction, classification, tagging, moderation, and transformation
- High-throughput agentic workflows involving tool calling and orchestration
- Multimodal analysis across text, images, video, audio, and PDFs
- Search-grounded applications requiring current external information
- Cost-sensitive applications processing very large request volumes
- Responsive applications where low latency is more important than maximum frontier intelligence
- Code-execution, file-search, structured-output, and function-calling workflows
Quick Model Estimate
Your GPT-5 Cost Estimate
💰 Total Cost
USD 3.00
for 1000 input + 1000 output tokens
📥 Input (1000 × $0.250000)
USD 1.5000
📤 Output (1000 × $1.500000)
USD 1.5000
Cost Breakdown
📥 Input 50%
📤 Output 50%
Prices updated daily from official provider data.
Pricing
|
Provider
↕
|
Modality
↕
|
Tier
↕
|
Input Price
(per 1M tokens) ↕ |
Output Price
(per 1M tokens) ↕ |
Context Size
↕
|
View
|
|---|---|---|---|---|---|---|
 Perplexity
|
Text | Standard | $0.2500 | $1.5000 | 1,048,576 tokens | → |