Activefastmultimodal Proprietary

Gemini 2.5 Flash Experimental

by Google· Released May 2025· Cutoff January 2025

Gemini 2.5 Flash Experimental is a fast, cost-efficient multimodal model from Google, designed for high-volume, low-latency applications. It balances performance and affordability, making it suitable for real-time tasks like chat, summarization, and content generation. As an experimental model, it offers early access to the latest capabilities in the Gemini 2.5 Flash family.

Official Site API Docs

Input cost

$0.15 per 1M tokens

Output cost

$0.60 per 1M tokens

Context window

1M tokens

Max output

8192 tokens

Modalities

textimageaudiovideo

License

proprietary

Capabilities

Multimodal understanding (text, image, audio, video)Function CallingCode GenerationStreamingJSON ModeLong context (1M tokens)

Best For

High-volume, real-time applications requiring fast responses and multimodal input processing at low cost.

Strengths

Very low latency and high throughput
Cost-effective pricing for large-scale use
Supports up to 1M token context window
Multimodal input (text, image, audio, video)
Strong performance on reasoning and coding tasks for its tier

Limitations

Experimental status may have limited stability or availability
Output quality may be lower than frontier models like Gemini 2.5 Pro
Not suitable for tasks requiring deep reasoning or complex creative generation
Limited to 8192 output tokens
May have higher error rates or unexpected behaviors compared to stable models

Use Cases

Real-time customer support chatbots

Content summarization and extraction from long documents

Code generation and debugging assistance

Multimodal data analysis (e.g., images with text)

Interactive educational tools and tutoring

Automated report generation from audio/video transcripts

High-throughput data labeling and classification

Improvements Over Previous Model

First model in the Gemini 2.5 Flash family, so no direct predecessor; compared to Gemini 1.5 Flash: context window increased from 1M to 1M tokens (same), but with improved reasoning and coding capabilities
Significantly lower pricing: $0.15/$0.60 per 1M tokens vs $0.075/$0.30 for Gemini 1.5 Flash (actually higher, but with enhanced performance)
Added native audio and video input support (Gemini 1.5 Flash already supported multimodal input)
Improved benchmark scores on MMLU, HumanEval, and other reasoning tasks
Faster inference speed due to optimized architecture

Back to all models

Limitations

Experimental status may have limited stability or availability

Output quality may be lower than frontier models like Gemini 2.5 Pro

Not suitable for tasks requiring deep reasoning or complex creative generation

Limited to 8192 output tokens

May have higher error rates or unexpected behaviors compared to stable models

Use Cases

Real-time customer support chatbots

Content summarization and extraction from long documents

Code generation and debugging assistance

Multimodal data analysis (e.g., images with text)

Interactive educational tools and tutoring

Automated report generation from audio/video transcripts

High-throughput data labeling and classification

Improvements Over Previous Model

First model in the Gemini 2.5 Flash family, so no direct predecessor; compared to Gemini 1.5 Flash: context window increased from 1M to 1M tokens (same), but with improved reasoning and coding capabilities

Significantly lower pricing: $0.15/$0.60 per 1M tokens vs $0.075/$0.30 for Gemini 1.5 Flash (actually higher, but with enhanced performance)

Added native audio and video input support (Gemini 1.5 Flash already supported multimodal input)

Improved benchmark scores on MMLU, HumanEval, and other reasoning tasks

Faster inference speed due to optimized architecture