Cheapest AI for 10,000 Storyboard Frames: Gemini 3.1 Flash Lite

Complete Analysis: 5,162,500 tokens for Gemini 3.1 Flash Lite
🖼️ 10000 Images

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash Lite model with 10000 Images.

🖼️ Multimodal Input
$1.291250 (rounded ~ $1.29) Total Cost
5,162,500 Total Tokens
1 hour, 32 minutes, 4.06 seconds Processing Time
935 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 3.1 Flash Lite
GoogleMax Context: 1,000,000 tokens
$0.25 / $1.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
0%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$1.291250 Total Cost
$1.290500 Input Cost
$0.000750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,162,500Total Tokens
$0.000250Cost per 1K
3,998,064Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

92m 4s Processing Time
1,000 Tokens/Second
80ms Time to First Token
935 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing

Gemini 3.1 Flash Lite Google 1000000

$1.291250 (rounded ~ $1.29)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.291250 (rounded ~ $1.29) Input: $1.290500
Output: $0.000750
Optimized Cost $1.291250 (rounded ~ $1.29) Input: $1.290500
Output: $0.000750
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 2,000 input tokens and 500 output tokens:

  • Input Cost: $1.290500
  • Output Cost: $0.000750
  • Total Cost: $1.291250 (rounded ~ $1.29)
  • Cost per 1K tokens: $0.000250
  • Tokens per dollar: 3,998,064 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

  • Processing Time: 1 hour, 32 minutes, 4.06 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 935 tokens/second (temperature-adjusted)

Best Use Cases

General purposeChatCode generation

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash Lite. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash Lite
📋 Active Input Parameters
Input Tokens: 2,000
Output Tokens: 500
Images: 10000 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash Lite
🏆 Mistral Small 3
Mistral AI
 $0.516350 (rounded ~ $0.52) Best Value ↓ 60% cheaper
🥈 Gemini 2.5 Flash
Google
 $1.549850 ↑ 20% more
🥉 Llama 4 Maverick (400B)
Meta AI
 $2.415600 (rounded ~ $2.42) ↑ 87.1% more
#4 Mistral Large 3
Mistral AI
 $2.582750 (rounded ~ $2.58) ↑ 100% more
#5 Kimi K2.5
Moonshot AI
 $3.098700 (rounded ~ $3.10) ↑ 140% more
#6 GPT-5.4 mini
OpenAI
 $3.873750 (rounded ~ $3.87) ↑ 200% more
#7 Kimi K2.6
Moonshot AI
 $4.905900 (rounded ~ $4.91) ↑ 279.9% more
#8 o4-mini Deep Research
OpenAI
 $5.164000 (rounded ~ $5.16) ↑ 299.9% more
#9 Claude Haiku 4.5
Anthropic
 $5.164500 (rounded ~ $5.16) ↑ 300% more
#10 Gemini 3.1 Flash
Google
 $5.165000 (rounded ~ $5.17) ↑ 300% more
#11 o4-mini
OpenAI
 $5.680400 ↑ 339.9% more
#12 Grok 4.3
xAI
 $6.453750 (rounded ~ $6.45) ↑ 399.8% more
#13 Gemini 3.5 Flash
Google
 $7.747500 (rounded ~ $7.75) ↑ 500% more
#14 GPT-5.3 Codex Spark
OpenAI
 $9.040500 ↑ 600.1% more
#15 GPT-5.3 Instant
OpenAI
 $9.040500 ↑ 600.1% more
#16 Gemini 2.5 Pro
Google
 $12.912500 (rounded ~ $12.91) ↑ 900% more
#17 Claude Sonnet 4.6
Anthropic
 $15.493500 (rounded ~ $15.49) ↑ 1099.9% more
#18 Gemini 3.1 Pro
Google
 $20.657000 (rounded ~ $20.66) ↑ 1499.8% more
#19 GPT-5.4
OpenAI
 $25.821250 (rounded ~ $25.82) ↑ 1899.7% more
#20 GPT-5.4 Thinking
OpenAI
 $25.821250 (rounded ~ $25.82) ↑ 1899.7% more
#21 Claude Opus 4.7
Anthropic
 $25.822500 (rounded ~ $25.82) ↑ 1899.8% more
#22 Claude Opus 4.8
Anthropic
 $25.822500 (rounded ~ $25.82) ↑ 1899.8% more
#23 Claude Opus 4.6
Anthropic
 $25.822500 (rounded ~ $25.82) ↑ 1899.8% more
#24 GPT-5.5 Instant
OpenAI
 $25.825000 (rounded ~ $25.83) ↑ 1900% more
#25 o3 Deep Research
OpenAI
 $51.640000 ↑ 3899.2% more
#26 GPT-5.5
OpenAI
 $51.642500 (rounded ~ $51.64) ↑ 3899.4% more
#27 o3 Pro
OpenAI
 $103.280000 ↑ 7898.5% more
#28 GPT-5.2 Pro
OpenAI
 $108.486000 (rounded ~ $108.49) ↑ 8301.6% more
#29 GPT-5.5 Pro
OpenAI
 $154.950000 ↑ 11900% more
#30 GPT-5.5 Pro
OpenAI
 $154.950000 ↑ 11900% more
🏆

Mistral Small 3
Mistral AI

$0.516350 (rounded ~ $0.52)
vs Gemini 3.1 Flash Lite: ↓ 60%
🥈

Gemini 2.5 Flash
Google

$1.549850
vs Gemini 3.1 Flash Lite: ↑ 20%
🥉

Llama 4 Maverick (400B)
Meta AI

$2.415600 (rounded ~ $2.42)
vs Gemini 3.1 Flash Lite: ↑ 87.1%
#4

Mistral Large 3
Mistral AI

$2.582750 (rounded ~ $2.58)
vs Gemini 3.1 Flash Lite: ↑ 100%
#5

Kimi K2.5
Moonshot AI

$3.098700 (rounded ~ $3.10)
vs Gemini 3.1 Flash Lite: ↑ 140%
#6

GPT-5.4 mini
OpenAI

$3.873750 (rounded ~ $3.87)
vs Gemini 3.1 Flash Lite: ↑ 200%
#7

Kimi K2.6
Moonshot AI

$4.905900 (rounded ~ $4.91)
vs Gemini 3.1 Flash Lite: ↑ 279.9%
#8

o4-mini Deep Research
OpenAI

$5.164000 (rounded ~ $5.16)
vs Gemini 3.1 Flash Lite: ↑ 299.9%
#9

Claude Haiku 4.5
Anthropic

$5.164500 (rounded ~ $5.16)
vs Gemini 3.1 Flash Lite: ↑ 300%
#10

Gemini 3.1 Flash
Google

$5.165000 (rounded ~ $5.17)
vs Gemini 3.1 Flash Lite: ↑ 300%
#11

o4-mini
OpenAI

$5.680400
vs Gemini 3.1 Flash Lite: ↑ 339.9%
#12

Grok 4.3
xAI

$6.453750 (rounded ~ $6.45)
vs Gemini 3.1 Flash Lite: ↑ 399.8%
#13

Gemini 3.5 Flash
Google

$7.747500 (rounded ~ $7.75)
vs Gemini 3.1 Flash Lite: ↑ 500%
#14

GPT-5.3 Codex Spark
OpenAI

$9.040500
vs Gemini 3.1 Flash Lite: ↑ 600.1%
#15

GPT-5.3 Instant
OpenAI

$9.040500
vs Gemini 3.1 Flash Lite: ↑ 600.1%
#16

Gemini 2.5 Pro
Google

$12.912500 (rounded ~ $12.91)
vs Gemini 3.1 Flash Lite: ↑ 900%
#17

Claude Sonnet 4.6
Anthropic

$15.493500 (rounded ~ $15.49)
vs Gemini 3.1 Flash Lite: ↑ 1099.9%
#18

Gemini 3.1 Pro
Google

$20.657000 (rounded ~ $20.66)
vs Gemini 3.1 Flash Lite: ↑ 1499.8%
#19

GPT-5.4
OpenAI

$25.821250 (rounded ~ $25.82)
vs Gemini 3.1 Flash Lite: ↑ 1899.7%
#20

GPT-5.4 Thinking
OpenAI

$25.821250 (rounded ~ $25.82)
vs Gemini 3.1 Flash Lite: ↑ 1899.7%
#21

Claude Opus 4.7
Anthropic

$25.822500 (rounded ~ $25.82)
vs Gemini 3.1 Flash Lite: ↑ 1899.8%
#22

Claude Opus 4.8
Anthropic

$25.822500 (rounded ~ $25.82)
vs Gemini 3.1 Flash Lite: ↑ 1899.8%
#23

Claude Opus 4.6
Anthropic

$25.822500 (rounded ~ $25.82)
vs Gemini 3.1 Flash Lite: ↑ 1899.8%
#24

GPT-5.5 Instant
OpenAI

$25.825000 (rounded ~ $25.83)
vs Gemini 3.1 Flash Lite: ↑ 1900%
#25

o3 Deep Research
OpenAI

$51.640000
vs Gemini 3.1 Flash Lite: ↑ 3899.2%
#26

GPT-5.5
OpenAI

$51.642500 (rounded ~ $51.64)
vs Gemini 3.1 Flash Lite: ↑ 3899.4%
#27

o3 Pro
OpenAI

$103.280000
vs Gemini 3.1 Flash Lite: ↑ 7898.5%
#28

GPT-5.2 Pro
OpenAI

$108.486000 (rounded ~ $108.49)
vs Gemini 3.1 Flash Lite: ↑ 8301.6%
#29

GPT-5.5 Pro
OpenAI

$154.950000
vs Gemini 3.1 Flash Lite: ↑ 11900%
#30

GPT-5.5 Pro
OpenAI

$154.950000
vs Gemini 3.1 Flash Lite: ↑ 11900%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

When cost-effectiveness is paramount for generating up to 10,000 storyboard frames, Gemini 3.1 Flash Lite emerges as a compelling option. This model balances essential vision capabilities with efficient text processing, making it suitable for creating numerous visual assets and accompanying scene descriptions without prohibitive expense. For SaaS founders and mid-market teams scaling creative features, its affordability per image is a significant advantage. Consultants should evaluate its ability to maintain visual consistency and interpret scene prompts accurately at scale. While it may not match the nuanced creative output of higher-tier models, its efficiency makes it ideal for rapid prototyping or large-volume content generation where budget constraints are a primary driver for AI model selection.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.