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Google Gemini

Gemini 3 Flash

Fast and efficient Gemini 3 model optimized for speed while maintaining strong multimodal capabilities.

fastmultimodalefficient
Provider
Google Gemini
Median cost per request
$0.0030
Input price
$0.50 / 1M tokens
Output price
$3.00 / 1M tokens
Strengths
fast, multimodal, efficient
Modalities
text, image
Popularity
Top 38% (34 of 53)

Build with Gemini 3 Flash

Launch a project in a few clicks

1. Open the builder with Gemini 3 Flash preselected.
2. Pick a template or paste your prompt.
3. Ship to web, API, or embed.
PopularityTrend

Popularity trends show adoption over time

Rising popularity indicates growing trust; declines may signal newer alternatives

  • Popular = trusted by many builders for everyday tasks
  • Try a cheaper model on your prompt—if outputs match, save money
  • After adding Actions or tools, test again—costs can change a lot

Popularity Trend

Current popularity ranking

Less popularMore popular
Top 38%
More popular than 38% of 53 models
Top 83% among Google Gemini models
CostComparison

Compare cost against similar models

Use cheaper alternatives to validate if premium pricing is worth it

  • Test your prompt on cheaper models—if outputs match, save money
  • Premium models shine at complex reasoning or long-context tasks
  • After adding Actions or tools, check costs again—they can change a lot

Cost Comparison

Model vs Google Gemini average and nearby models

Model: Gemini 3 FlashGoogle Gemini average
1.2× the Google Gemini average
PopularityProvider

Compare within the same provider

Use cheaper or pricier neighbors to decide if the premium is justified

  • If outputs match on your prompt, pick the cheaper one
  • Premium models excel at specific things like reasoning or long context
  • Test again after adding Actions—costs and quality can change

Provider Popularity Split

Top peers in Google Gemini by total uses (higher = more popular)

Your model represents 3.7% of Google Gemini usage
Showing top 6 peers by total uses.
TokensUsage

Token usage shows typical workload patterns

Most runs use 1-5k tokens for conversations; higher counts indicate complex prompts or RAG

  • Low tokens = quick responses; high tokens = detailed analysis or RAG
  • Compare input/output to see if this model handles quick or long tasks
  • Shorter prompts = lower costs—test variations in Pickaxe

Token Usage Distribution

Most requests use 1k-5k tokens

Avg Input
30k
Median: 5k
Avg Output
1k
Median: 682
0-1k
1k-5k
5k-10k
10k-25k
25k-50k
50k-100k
100k+
TrendsAdoption

Usage trends reflect adoption and trust

Growing trends indicate increasing adoption; declines may signal migration to alternatives

  • Rising usage = builders trust this model for real work
  • Spikes often mean new features, use cases, or promotions
  • If trends drop, try newer or cheaper alternatives in Pickaxe

Market Share Distribution— Rank #34 of 53

This model's market share compared to all models0.16% market share

Min: 0.00%
Q1: 0.08%
Median: 0.31%
Q3: 1.53%
Max: 14.64% (outlier)
This model: 0.16%
SpeedLatency

Speed metrics show real-world response times

Latency affects user experience; lower latency means faster interactions

  • Average = typical response time; worst case = slowest 5% of requests
  • First response time = how fast users see something
  • Compare speed across models in Pickaxe to find the best balance

Performance

Response time and streaming metrics

Response Time
23.2s average23.2s
Typical: 15.9s • Worst case: 65.0s
Streaming
First response in 10.9s10.9s
Time until you see the first output
Streaming time10.8s
Average time to stream complete response

Real builder experiences

Was this model actually good in Pickaxe?

Share wins, failures, and cost/performance tradeoffs with other builders. The more real-world runs, the better the guidance.

Related Models

Gemini 3 Pro

Google's flagship multimodal model with advanced reasoning and code generation.

Gemini 2.5 Pro

High-performance model with strong multimodal capabilities and extended context.

Gemini 2.5 Flash

Fast and efficient model optimized for speed while maintaining quality.