Gemini 1.5 Flash overview
Gemini 1.5 Flash by Google
Explore Gemini 1.5 Flash API, Google’s latest multimodal AI model optimized for speed and efficiency in real-time applications.
Gemini 1.5 Flash specs
- Developer
- Input
- Text, Image, Audio, Video
- Output
- Text, Image
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
Basic Information
- Model Type: Multimodal AI Model (Text, Image, Audio, Video)
Overview
Gemini 1.5 Flash is a state-of-the-art multimodal AI model designed for high-speed processing and efficient response generation. It excels in real-time applications, making it suitable for tasks that require immediate feedback and high throughput.
Key Features
- Optimized for speed and efficiency in high-frequency tasks
- Supports a multimodal input structure (text, images, audio, video)
- 1 million token context window for handling extensive input data
- High API request limits (up to 1000 requests per minute)
Intended Use
This model is designed for applications requiring rapid responses, such as chatbots, on-demand content generation, and real-time data analysis.
Gemini 1.5 Flash can be used for Medical Imaging in Healthcare due to its speed: it processes images in an average of 150 milliseconds per image, making it particularly useful in emergency settings where timely diagnosis is critical. Learn more about this and other models and their applications in Healthcare here.
Performance Metrics
- Accuracy: Demonstrates high accuracy in generating relevant responses and understanding user queries.
- Speed: Optimized for low latency, ensuring rapid response times, crucial for real-time applications. Wins all current AI models including Llama 3.1 8B, Claude 3 Haiku and GPT-4o mini.
- Robustness: Effectively handles diverse inputs and maintains contextual understanding across various tasks.
Architecture
Gemini 1.5 Flash employs a transformer architecture, which is well-suited for handling multimodal data and maintaining context over extensive inputs.
Use cases
Enterprise document processing
Analyze lengthy reports, legal documents, or manuals in a single prompt.
Process videos, audio transcripts, and images together for unified insights.
Deploy cost-efficient assistants handling large-scale chat, summarization, or data extraction.
Capabilities
- Function calling
- Streaming
- Structured outputs
Gemini 1.5 Flash benchmarks by
Artificial Analysis
See how Gemini 1.5 Flash scores on independent evaluations. Data retrieved Nov 3, 2026.
Benchmark results
Compare 15 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
LiveCodeBench
Competitive programming problems published after training cutoffs.
MMLU-Pro
Multiple-choice knowledge and reasoning across 14 subjects.
MATH-500
Competition mathematics problems.
Gemini 1.5 Flash API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.039 | 1M tokens |
| Output | $0.157 | 1M tokens |
Gemini 1.5 Flash is unlisted on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Gemini 1.5 Flash vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.039 | $0.157 | |
| $0.3 | $2.5 | |
| $0.75 | $3.75 | |
| $0.75 | $3.75 | |
| $2 | $10 |
Related articles
Gemini 1.5 Flash FAQ
Does Gemini 1.5 Flash support streaming?
Yes, Gemini 1.5 Flash can stream responses as they are generated.
Does Gemini 1.5 Flash support tool calling and structured outputs?
Yes, Gemini 1.5 Flash supports both function calling and structured outputs.
Who created Gemini 1.5 Flash?
Gemini 1.5 Flash was built by Google.

