Google Gemini 2.0 Flash Experimental (Free)
Source: LangMart
Last Updated: 2024-12-23
Description
Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maintaining quality on par with larger models like Gemini Pro 1.5. It introduces notable enhancements in:
- Multimodal understanding
- Coding capabilities
- Complex instruction following
- Function calling
Technical Specifications
Context & Token Limits
| Specification |
Value |
| Context Window |
1,048,576 tokens |
| Context Length |
1,048,576 tokens (1M) |
| Max Completion Tokens |
8,192 tokens |
Supported Modalities
| Direction |
Modalities |
| Input |
Text, Image |
| Output |
Text |
Supported Parameters
| Parameter |
Supported |
max_tokens |
Yes |
temperature |
Yes |
top_p |
Yes |
top_k |
Not specified |
seed |
Yes |
response_format |
Yes |
stop |
Yes |
tools |
Yes |
tool_choice |
Yes |
The model supports tool and function calling with the following tool choice options:
literal_none - Disable tool use
literal_auto - Model decides when to use tools
literal_required - Force tool use
type_function - Specify function to call
Features
| Feature |
Status |
| Multipart/Image Input |
Supported |
| Tool/Function Calling |
Supported |
| Reasoning Capabilities |
Not supported |
Pricing
| Type |
Price |
| Input Tokens |
$0/M (Free) |
| Output Tokens |
$0/M (Free) |
This is a completely free tier model.
API Usage Example
curl https://api.langmart.ai/v1/chat/completions \
-H "Authorization: Bearer $LANGMART_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-2.0-flash-exp:free",
"messages": [
{
"role": "user",
"content": "Hello, how are you?"
}
],
"max_tokens": 1024,
"temperature": 0.7
}'
curl https://api.langmart.ai/v1/chat/completions \
-H "Authorization: Bearer $LANGMART_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-2.0-flash-exp:free",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "https://example.com/image.jpg"
}
}
]
}
]
}'
curl https://api.langmart.ai/v1/chat/completions \
-H "Authorization: Bearer $LANGMART_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-2.0-flash-exp:free",
"messages": [
{
"role": "user",
"content": "What is the weather in San Francisco?"
}
],
"tools": [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the current weather in a location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
}
},
"required": ["location"]
}
}
}
],
"tool_choice": "auto"
}'
| Model |
Relationship |
google/gemini-flash-1.5 |
Predecessor (Flash 2.0 is faster) |
google/gemini-pro-1.5 |
Larger model (Flash 2.0 matches quality) |
Model Identification
| Field |
Value |
| Display Name |
Google: Gemini 2.0 Flash Experimental (free) |
| Model ID |
google/gemini-2.0-flash-exp:free |
| Provider |
Google Vertex |
| Model Family |
Gemini |
| Variant Type |
Free tier |
| Created |
December 11, 2024 |
| Status |
Experimental |
- Time to First Token (TTFT): Significantly faster than Gemini Flash 1.5
- Quality: On par with larger models like Gemini Pro 1.5
Usage Statistics (Recent)
| Metric |
Value |
| Daily Requests |
~24,000-27,000 |
| Daily Image Prompts |
~5,800-11,400 |
| Data Retention |
55 days |
Data Policy
| Policy |
Value |
| Training on User Data |
Allowed (by Google) |
| Retains Prompts |
Yes (55 days) |
| Can Publish User Data |
No |
| Requires User IDs |
Yes |
| Governed By |
Google Cloud Terms |
Notes
- This model is marked as experimental and may have changes or limitations
- Free tier may have rate limits (check LangMart documentation)
- The model retains prompts for 55 days per Google's data policy
- User IDs are required for API access