Gemini 3.8 Flash Pricing: Cost per 10,000 Image Analysis

Complete Analysis: 5,161,000 tokens for Gemini 3.8 Flash
🖼️ 10000 Images ⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.8 Flash model with 10000 Images, 50% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.533063 (rounded ~ $0.53) Total Cost
5,161,000 Total Tokens
4 hours, 25 minutes, 38.56 seconds Processing Time
324 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,048,576 tokens. Budgeting mode active.

Select AI Model

Gemini 3.8 Flash

GoogleMax Context: 1,048,576 tokens
$0.75 / $3.75 per 1M tokens
50%
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

$0.533063 Total Cost
$0.483750 Input Cost
$0.000938 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,161,000Total Tokens
$0.000103Cost per 1K
9,681,792Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

265m 38s Processing Time
340 Tokens/Second
105ms Time to First Token
324 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

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

Gemini 3.8 Flash Google 1048576

$0.533063 (rounded ~ $0.53)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,048,576 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 50% Cached 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.968438 (rounded ~ $0.97) Input: $0.967500 (rounded ~ $0.97)
Output: $0.000938
Optimized Cost $0.533063 (rounded ~ $0.53) Input: $0.967500 (rounded ~ $0.97)
Output: $0.000938
Unit: $0.000000
Fees: $0.000000
Total Savings $0.435375 (rounded ~ $0.44) 45.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

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

Detailed Cost Analysis (from Plugin)

For 0 input tokens and 1,000 output tokens:

  • Input Cost: $0.967500 (rounded ~ $0.97)
  • Output Cost: $0.000938
  • Total Cost: $0.533063 (rounded ~ $0.53)
  • Cost per 1K tokens: $0.000103
  • Tokens per dollar: 9,681,792 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 105ms time to first token:

  • Processing Time: 4 hours, 25 minutes, 38.56 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 324 tokens/second (temperature-adjusted)

Best Use Cases

High-volume storyboard frame analysis and automated scene description at scale.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 0
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Images: 10000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 Ministral 3 (14B)
Mistral AI
 $0.142050 (rounded ~ $0.14) Best Value ↓ 73.4% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.142200 (rounded ~ $0.14) ↓ 73.3% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.177750 (rounded ~ $0.18) ↓ 66.7% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.213475 (rounded ~ $0.21) ↓ 60% cheaper
#5 Gemini 2.5 Flash
Google
 $0.213475 (rounded ~ $0.21) ↓ 60% cheaper
#6 GPT-6 Luna
OpenAI
 $0.284175 (rounded ~ $0.28) ↓ 46.7% cheaper
#7 Mistral Large 3
Mistral AI
 $0.355375 (rounded ~ $0.36) ↓ 33.3% cheaper
#8 Gemini 3.6 Flash
Google
 $0.533063 (rounded ~ $0.53) Same price
#9 GPT-5.4 mini
OpenAI
 $0.533250 (rounded ~ $0.53) Same price
#10 Claude Haiku 5.5
Anthropic
 $0.710750 ↑ 33.3% more
#11 Claude Haiku 4.5
Anthropic
 $0.710750 ↑ 33.3% more
#12 Mistral Large 4
Mistral AI
 $0.966645 (rounded ~ $0.97) ↑ 81.3% more
#13 GPT-5.3 Codex Spark
OpenAI
 $1.245125 (rounded ~ $1.25) ↑ 133.6% more
#14 GPT-5.3 Instant
OpenAI
 $1.245125 (rounded ~ $1.25) ↑ 133.6% more
#15 Claude Sonnet 5.5
Anthropic
 $1.357000 (rounded ~ $1.36) ↑ 154.6% more
#16 Claude Sonnet 5
Anthropic
 $1.421500 (rounded ~ $1.42) ↑ 166.7% more
#17 Gemini 4 Argon
Google
 $1.421500 (rounded ~ $1.42) ↑ 166.7% more
#18 Gemini 3.1 Flash
Google
 $1.422000 (rounded ~ $1.42) ↑ 166.8% more
#19 GPT-5.6 Terra
OpenAI
 $1.422000 (rounded ~ $1.42) ↑ 166.8% more
#20 Claude Sonnet 4.6
Anthropic
 $2.132250 (rounded ~ $2.13) ↑ 300% more
#21 Claude Opus 5.5
Anthropic
 $2.714000 (rounded ~ $2.71) ↑ 409.1% more
#22 GPT-5.6 Sol
OpenAI
 $2.843000 (rounded ~ $2.84) ↑ 433.3% more
#23 Claude Opus 4.7
Anthropic
 $3.553750 (rounded ~ $3.55) ↑ 566.7% more
#24 Claude Opus 5
Anthropic
 $3.553750 (rounded ~ $3.55) ↑ 566.7% more
#25 Claude Opus 4.8
Anthropic
 $3.553750 (rounded ~ $3.55) ↑ 566.7% more
#26 Claude Opus 4.6
Anthropic
 $3.553750 (rounded ~ $3.55) ↑ 566.7% more
#27 Gemini 2.5 Pro
Google
 $3.555000 (rounded ~ $3.56) ↑ 566.9% more
#28 GPT-5.5 Instant
OpenAI
 $3.555000 (rounded ~ $3.56) ↑ 566.9% more
#29 Grok 4.3
xAI
 $5.680000 ↑ 965.5% more
#30 GPT-6.1 Sol
OpenAI
 $5.683500 (rounded ~ $5.68) ↑ 966.2% more
#31 GPT-6 Sol
OpenAI
 $5.683500 (rounded ~ $5.68) ↑ 966.2% more
#32 Gemini 3.1 Pro
Google
 $5.685000 (rounded ~ $5.69) ↑ 966.5% more
#33 Claude Fable 5.1
Anthropic
 $6.623750 (rounded ~ $6.62) ↑ 1142.6% more
#34 Claude Mythos 5.1
Anthropic
 $6.623750 (rounded ~ $6.62) ↑ 1142.6% more
#35 GPT-5.4
OpenAI
 $7.106250 (rounded ~ $7.11) ↑ 1233.1% more
#36 GPT-5.4 Thinking
OpenAI
 $7.106250 (rounded ~ $7.11) ↑ 1233.1% more
#37 Claude Fable 5
Anthropic
 $7.107500 (rounded ~ $7.11) ↑ 1233.3% more
#38 Claude Mythos 5
Anthropic
 $7.107500 (rounded ~ $7.11) ↑ 1233.3% more
#39 GPT-5.5
OpenAI
 $14.212500 (rounded ~ $14.21) ↑ 2566.2% more
#40 GPT-5.2 Pro
OpenAI
 $14.941500 (rounded ~ $14.94) ↑ 2703% more
#41 GPT-6 Astra
OpenAI
 $28.430000 ↑ 5233.3% more
#42 GPT-6 Astra
OpenAI
 $28.430000 ↑ 5233.3% more
🏆

Ministral 3 (14B)
Mistral AI

$0.142050 (rounded ~ $0.14)
vs Gemini 3.8 Flash: ↓ 73.4%
🥈

GPT-5.6 Luna
OpenAI

$0.142200 (rounded ~ $0.14)
vs Gemini 3.8 Flash: ↓ 73.3%
🥉

Gemini 3.1 Flash Lite
Google

$0.177750 (rounded ~ $0.18)
vs Gemini 3.8 Flash: ↓ 66.7%
#4

Gemini 3.5 Flash-Lite
Google

$0.213475 (rounded ~ $0.21)
vs Gemini 3.8 Flash: ↓ 60%
#5

Gemini 2.5 Flash
Google

$0.213475 (rounded ~ $0.21)
vs Gemini 3.8 Flash: ↓ 60%
#6

GPT-6 Luna
OpenAI

$0.284175 (rounded ~ $0.28)
vs Gemini 3.8 Flash: ↓ 46.7%
#7

Mistral Large 3
Mistral AI

$0.355375 (rounded ~ $0.36)
vs Gemini 3.8 Flash: ↓ 33.3%
#8

Gemini 3.6 Flash
Google

$0.533063 (rounded ~ $0.53)
vs Gemini 3.8 Flash: Same
#9

GPT-5.4 mini
OpenAI

$0.533250 (rounded ~ $0.53)
vs Gemini 3.8 Flash: Same
#10

Claude Haiku 5.5
Anthropic

$0.710750
vs Gemini 3.8 Flash: ↑ 33.3%
#11

Claude Haiku 4.5
Anthropic

$0.710750
vs Gemini 3.8 Flash: ↑ 33.3%
#12

Mistral Large 4
Mistral AI

$0.966645 (rounded ~ $0.97)
vs Gemini 3.8 Flash: ↑ 81.3%
#13

GPT-5.3 Codex Spark
OpenAI

$1.245125 (rounded ~ $1.25)
vs Gemini 3.8 Flash: ↑ 133.6%
#14

GPT-5.3 Instant
OpenAI

$1.245125 (rounded ~ $1.25)
vs Gemini 3.8 Flash: ↑ 133.6%
#15

Claude Sonnet 5.5
Anthropic

$1.357000 (rounded ~ $1.36)
vs Gemini 3.8 Flash: ↑ 154.6%
#16

Claude Sonnet 5
Anthropic

$1.421500 (rounded ~ $1.42)
vs Gemini 3.8 Flash: ↑ 166.7%
#17

Gemini 4 Argon
Google

$1.421500 (rounded ~ $1.42)
vs Gemini 3.8 Flash: ↑ 166.7%
#18

Gemini 3.1 Flash
Google

$1.422000 (rounded ~ $1.42)
vs Gemini 3.8 Flash: ↑ 166.8%
#19

GPT-5.6 Terra
OpenAI

$1.422000 (rounded ~ $1.42)
vs Gemini 3.8 Flash: ↑ 166.8%
#20

Claude Sonnet 4.6
Anthropic

$2.132250 (rounded ~ $2.13)
vs Gemini 3.8 Flash: ↑ 300%
#21

Claude Opus 5.5
Anthropic

$2.714000 (rounded ~ $2.71)
vs Gemini 3.8 Flash: ↑ 409.1%
#22

GPT-5.6 Sol
OpenAI

$2.843000 (rounded ~ $2.84)
vs Gemini 3.8 Flash: ↑ 433.3%
#23

Claude Opus 4.7
Anthropic

$3.553750 (rounded ~ $3.55)
vs Gemini 3.8 Flash: ↑ 566.7%
#24

Claude Opus 5
Anthropic

$3.553750 (rounded ~ $3.55)
vs Gemini 3.8 Flash: ↑ 566.7%
#25

Claude Opus 4.8
Anthropic

$3.553750 (rounded ~ $3.55)
vs Gemini 3.8 Flash: ↑ 566.7%
#26

Claude Opus 4.6
Anthropic

$3.553750 (rounded ~ $3.55)
vs Gemini 3.8 Flash: ↑ 566.7%
#27

Gemini 2.5 Pro
Google

$3.555000 (rounded ~ $3.56)
vs Gemini 3.8 Flash: ↑ 566.9%
#28

GPT-5.5 Instant
OpenAI

$3.555000 (rounded ~ $3.56)
vs Gemini 3.8 Flash: ↑ 566.9%
#29

Grok 4.3
xAI

$5.680000
vs Gemini 3.8 Flash: ↑ 965.5%
#30

GPT-6.1 Sol
OpenAI

$5.683500 (rounded ~ $5.68)
vs Gemini 3.8 Flash: ↑ 966.2%
#31

GPT-6 Sol
OpenAI

$5.683500 (rounded ~ $5.68)
vs Gemini 3.8 Flash: ↑ 966.2%
#32

Gemini 3.1 Pro
Google

$5.685000 (rounded ~ $5.69)
vs Gemini 3.8 Flash: ↑ 966.5%
#33

Claude Fable 5.1
Anthropic

$6.623750 (rounded ~ $6.62)
vs Gemini 3.8 Flash: ↑ 1142.6%
#34

Claude Mythos 5.1
Anthropic

$6.623750 (rounded ~ $6.62)
vs Gemini 3.8 Flash: ↑ 1142.6%
#35

GPT-5.4
OpenAI

$7.106250 (rounded ~ $7.11)
vs Gemini 3.8 Flash: ↑ 1233.1%
#36

GPT-5.4 Thinking
OpenAI

$7.106250 (rounded ~ $7.11)
vs Gemini 3.8 Flash: ↑ 1233.1%
#37

Claude Fable 5
Anthropic

$7.107500 (rounded ~ $7.11)
vs Gemini 3.8 Flash: ↑ 1233.3%
#38

Claude Mythos 5
Anthropic

$7.107500 (rounded ~ $7.11)
vs Gemini 3.8 Flash: ↑ 1233.3%
#39

GPT-5.5
OpenAI

$14.212500 (rounded ~ $14.21)
vs Gemini 3.8 Flash: ↑ 2566.2%
#40

GPT-5.2 Pro
OpenAI

$14.941500 (rounded ~ $14.94)
vs Gemini 3.8 Flash: ↑ 2703%
#41

GPT-6 Astra
OpenAI

$28.430000
vs Gemini 3.8 Flash: ↑ 5233.3%
#42

GPT-6 Astra
OpenAI

$28.430000
vs Gemini 3.8 Flash: ↑ 5233.3%
✨ 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.

Optimizing Storyboard Workflows

For solo founders building video storyboarding tools, balancing visual accuracy with per-unit processing costs is essential. Gemini 3.8 Flash offers a compelling balance for high-volume visual tasks, particularly when your MVP needs to analyze large batches of generated or uploaded storyboard frames without stalling your budget.

Visual Processing at Scale

The primary advantage here is the model’s native multimodal capability, which allows it to handle both the image inputs and the accompanying scene descriptions in a single request. This reduces the latency often associated with multi-step pipelines where you might otherwise need separate vision and text models.

When scaling to 10,000 images, latency and throughput become as critical as the direct unit cost. Gemini 3.8 Flash excels in scenarios where you need rapid, consistent analysis of storyboard sequences. Its ability to parse visual compositions and generate descriptive scene text makes it ideal for automated narrative generation, allowing you to iterate on video concepts faster than manual processes allow.

However, evaluators should consider the trade-offs in reasoning depth compared to larger, more expensive frontier models. If your storyboard generation requires highly nuanced artistic direction or complex cinematic structural analysis, this model serves as an efficient layer for initial pass-throughs, while more intensive reasoning tasks might be reserved for specific, high-value shots. For cost-sensitive startups, the efficiency of this model allows for more experimentation with prompt engineering and output structure without the risk of runaway expenses.

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 does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
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.

Related model pricing

Gemini 3.8 Flash currently costs $0.75 / $3.75 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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