Gemini 2.5 Flash
Gemini 2.5 Flash is Google's high-speed multimodal model that excels at processing text, images, and videos with impressive speed and accuracy.
Overview
| Property | Value |
|---|---|
| Provider | |
| Cost | 10 credits |
| Modality | Text |
| Vision | ✅ Images & Videos |
| Prompt Required | Yes |
What It's Best For
- Multimodal analysis — Understanding images and videos together with text
- Fast processing — Quick responses for time-sensitive workflows
- Video understanding — Analyzing video content (up to 45 minutes)
- Document processing — Extracting information from visual documents
- Real-time applications — Low-latency responses
Inputs
Prompt (Required)
The main text input describing what you want the model to do.
Connection Color: 🟡 Yellow
Images (Optional)
Send images to the model for analysis. Supports up to 10 images, each up to 7MB.
Connection Color: 🟢 Green (from image nodes)
Videos (Optional)
Send videos to the model for analysis. Supports up to 10 videos, each up to 45 minutes.
Connection Color: 🟢 Green (from video nodes)
Configuration
System Instruction
Type: Textarea
Guide the model's behavior with a system instruction.
Example:
You are a video content analyst specializing in social media trends.
Provide insights in a concise, actionable format.
Max Output Tokens
Type: Slider
Range: 1 - 65,535
Default: 65,535
Maximum number of tokens to generate. Gemini 2.5 Flash supports very long outputs.
Temperature
Type: Slider
Range: 0 - 2
Default: 1
Controls randomness in the output:
- 0: Deterministic, consistent responses
- 1: Balanced creativity
- 2: Maximum creativity and variation
Top P
Type: Slider
Range: 0 - 1
Default: 0.95
Nucleus sampling parameter. Lower values make outputs more focused.
Thinking Budget
Type: Slider
Range: 0 - 24,576
Default: 0 (disabled)
Enable extended reasoning by setting a thinking budget. Higher values allow more complex reasoning chains.
Dynamic Thinking
Type: Toggle
Default: Off
When enabled, the model automatically adjusts its thinking budget based on problem complexity. This overrides the manual thinking budget setting.
Output
Type: Text
Connection Color: 🟡 Yellow
Use Cases
Video Content Analysis
Connect a video node:
Analyze this product demo video. Identify the key selling points,
pacing issues, and suggest improvements for engagement.
Multi-Image Comparison
Connect multiple image nodes:
Compare these three logo designs. Which one best represents
a modern tech startup? Explain your reasoning.
Document Extraction
Connect an image of a document:
Extract all the key information from this invoice image
and format it as structured JSON.
Video Transcription & Summary
Watch this video and provide:
1. A detailed transcript
2. A 3-sentence summary
3. Key timestamps for important moments
Tips for Best Results
- Leverage video capabilities — Few models can analyze video this well
- Use dynamic thinking — Let the model decide reasoning depth
- Batch images efficiently — Process multiple images in one call
- Keep prompts clear — Specific questions yield better analysis
- Adjust temperature — Lower for factual tasks, higher for creative
Comparison with Other Models
| Feature | Gemini 2.5 Flash | GPT-5 | Claude 4.5 |
|---|---|---|---|
| Cost | 10 credits | 20 credits | 30 credits |
| Speed | ⚡ Fast | Medium | Medium |
| Video Support | ✅ Yes | ❌ No | ❌ No |
| Max Images | 10 | Multiple | 1 |
| Thinking Mode | ✅ Yes | ✅ Yes | ❌ No |
Related Models
- GPT-5 — More powerful reasoning, no video
- Claude 4.5 Sonnet — Better for long-form writing
- Llama 3 70B — Open-source alternative