Personalized Newsletters: 10K Subscriber Intro Generation with Gemini 3.1 Flash

Complete Analysis: 10,500 tokens for Gemini 3.1 Flash
⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash model with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.002800 Total Cost
10,500 Total Tokens
14.22 seconds Processing Time
748 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.1 Flash

GoogleMax Context: 1,000,000 tokens
$0.5 / $3 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
20%
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.

Calculate Token Costs

$0.002800 Total Cost
$0.002000 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
10,500Total Tokens
$0.000267Cost per 1K
3,750,000Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.

📊 Advanced Cost Breakdown

Processing Speed

14.22s Processing Time
800 Tokens/Second
100ms Time to First Token
748 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 3.1 Flash Google 1000000

$0.002800
Total Cost
⚡ 20% 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) $0.003250 Input: $0.002500
Output: $0.000750
Optimized Cost $0.002800 Input: $0.002500
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000450 13.8% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.002500
  • Output Cost: $0.000750
  • Total Cost: $0.002800
  • Cost per 1K tokens: $0.000267
  • Tokens per dollar: 3,750,000 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 14.22 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

High-volumelow-latency text generation tasks like personalized newsletter intros or automated emails.

Want this applied to YOUR actual stack?

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash
🏆 Voxtral Small 24B
Mistral AI
 $0.000243 Best Value ↓ 91.3% cheaper
🥈 Ministral 3 (14B)
Mistral AI
 $0.000435 ↓ 84.5% cheaper
🥉 GPT-6 Luna
OpenAI
 $0.000535 ↓ 80.9% cheaper
#4 Claude Haiku 5.5
Anthropic
 $0.000535 ↓ 80.9% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.000560 ↓ 80% cheaper
#6 Gemini 3.1 Flash Lite
Google
 $0.000700 ↓ 75% cheaper
#7 Nemotron 3 Super
NVIDIA
 $0.000718 ↓ 74.4% cheaper
#8 Gemini 3.5 Flash-Lite
Google
 $0.000928 ↓ 66.9% cheaper
#9 Gemini 2.5 Flash
Google
 $0.000928 ↓ 66.9% cheaper
#10 Mistral Large 3
Mistral AI
 $0.001213 ↓ 56.7% cheaper
#11 Gemini 3.8 Flash
Google
 $0.002006 ↓ 28.3% cheaper
#12 Gemini 3.6 Flash
Google
 $0.002006 ↓ 28.3% cheaper
#13 GPT-5.4 mini
OpenAI
 $0.002100 ↓ 25% cheaper
#14 Claude Haiku 4.5
Anthropic
 $0.002675 ↓ 4.5% cheaper
#15 Mistral Large 4
Mistral AI
 $0.003311 ↑ 18.2% more
#16 Claude Sonnet 5.5
Anthropic
 $0.005300 (rounded ~ $0.01) ↑ 89.3% more
#17 GPT-5.3 Codex Spark
OpenAI
 $0.005338 (rounded ~ $0.01) ↑ 90.6% more
#18 GPT-5.3 Instant
OpenAI
 $0.005338 (rounded ~ $0.01) ↑ 90.6% more
#19 Claude Sonnet 5
Anthropic
 $0.005350 (rounded ~ $0.01) ↑ 91.1% more
#20 Gemini 4 Argon
Google
 $0.005350 (rounded ~ $0.01) ↑ 91.1% more
#21 GPT-5.6 Terra
OpenAI
 $0.005600 (rounded ~ $0.01) ↑ 100% more
#22 Gemini 2.5 Pro
Google
 $0.007625 (rounded ~ $0.01) ↑ 172.3% more
#23 Claude Sonnet 4.6
Anthropic
 $0.008025 (rounded ~ $0.01) ↑ 186.6% more
#24 Grok 4.3
xAI
 $0.009200 ↑ 228.6% more
#25 Grok 4.20 Beta
xAI
 $0.009200 ↑ 228.6% more
#26 Claude Opus 5.5
Anthropic
 $0.010600 ↑ 278.6% more
#27 GPT-6.1 Sol
OpenAI
 $0.010700 ↑ 282.1% more
#28 GPT-6 Sol
OpenAI
 $0.010700 ↑ 282.1% more
#29 GPT-5.6 Sol
OpenAI
 $0.010700 ↑ 282.1% more
#30 Gemini 3.1 Pro
Google
 $0.011200 (rounded ~ $0.01) ↑ 300% more
#31 Claude Opus 4.7
Anthropic
 $0.013375 (rounded ~ $0.01) ↑ 377.7% more
#32 Claude Opus 5
Anthropic
 $0.013375 (rounded ~ $0.01) ↑ 377.7% more
#33 Claude Opus 4.8
Anthropic
 $0.013375 (rounded ~ $0.01) ↑ 377.7% more
#34 Claude Opus 4.6
Anthropic
 $0.013375 (rounded ~ $0.01) ↑ 377.7% more
#35 GPT-5.4
OpenAI
 $0.014000 (rounded ~ $0.01) ↑ 400% more
#36 GPT-5.4 Thinking
OpenAI
 $0.014000 (rounded ~ $0.01) ↑ 400% more
#37 GPT-5.5 Instant
OpenAI
 $0.014000 (rounded ~ $0.01) ↑ 400% more
#38 Claude Fable 5.1
Anthropic
 $0.026375 (rounded ~ $0.03) ↑ 842% more
#39 Claude Mythos 5.1
Anthropic
 $0.026375 (rounded ~ $0.03) ↑ 842% more
#40 Claude Fable 5
Anthropic
 $0.026750 (rounded ~ $0.03) ↑ 855.4% more
#41 Claude Mythos 5
Anthropic
 $0.026750 (rounded ~ $0.03) ↑ 855.4% more
#42 GPT-5.5
OpenAI
 $0.028000 (rounded ~ $0.03) ↑ 900% more
#43 GPT-6 Astra
OpenAI
 $0.053500 (rounded ~ $0.05) ↑ 1810.7% more
#44 GPT-5.2 Pro
OpenAI
 $0.064050 (rounded ~ $0.06) ↑ 2187.5% more
#45 GPT-5.2 Pro
OpenAI
 $0.064050 (rounded ~ $0.06) ↑ 2187.5% more
🏆

Voxtral Small 24B
Mistral AI

$0.000243
vs Gemini 3.1 Flash: ↓ 91.3%
🥈

Ministral 3 (14B)
Mistral AI

$0.000435
vs Gemini 3.1 Flash: ↓ 84.5%
🥉

GPT-6 Luna
OpenAI

$0.000535
vs Gemini 3.1 Flash: ↓ 80.9%
#4

Claude Haiku 5.5
Anthropic

$0.000535
vs Gemini 3.1 Flash: ↓ 80.9%
#5

GPT-5.6 Luna
OpenAI

$0.000560
vs Gemini 3.1 Flash: ↓ 80%
#6

Gemini 3.1 Flash Lite
Google

$0.000700
vs Gemini 3.1 Flash: ↓ 75%
#7

Nemotron 3 Super
NVIDIA

$0.000718
vs Gemini 3.1 Flash: ↓ 74.4%
#8

Gemini 3.5 Flash-Lite
Google

$0.000928
vs Gemini 3.1 Flash: ↓ 66.9%
#9

Gemini 2.5 Flash
Google

$0.000928
vs Gemini 3.1 Flash: ↓ 66.9%
#10

Mistral Large 3
Mistral AI

$0.001213
vs Gemini 3.1 Flash: ↓ 56.7%
#11

Gemini 3.8 Flash
Google

$0.002006
vs Gemini 3.1 Flash: ↓ 28.3%
#12

Gemini 3.6 Flash
Google

$0.002006
vs Gemini 3.1 Flash: ↓ 28.3%
#13

GPT-5.4 mini
OpenAI

$0.002100
vs Gemini 3.1 Flash: ↓ 25%
#14

Claude Haiku 4.5
Anthropic

$0.002675
vs Gemini 3.1 Flash: ↓ 4.5%
#15

Mistral Large 4
Mistral AI

$0.003311
vs Gemini 3.1 Flash: ↑ 18.2%
#16

Claude Sonnet 5.5
Anthropic

$0.005300 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 89.3%
#17

GPT-5.3 Codex Spark
OpenAI

$0.005338 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 90.6%
#18

GPT-5.3 Instant
OpenAI

$0.005338 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 90.6%
#19

Claude Sonnet 5
Anthropic

$0.005350 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 91.1%
#20

Gemini 4 Argon
Google

$0.005350 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 91.1%
#21

GPT-5.6 Terra
OpenAI

$0.005600 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 100%
#22

Gemini 2.5 Pro
Google

$0.007625 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 172.3%
#23

Claude Sonnet 4.6
Anthropic

$0.008025 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 186.6%
#24

Grok 4.3
xAI

$0.009200
vs Gemini 3.1 Flash: ↑ 228.6%
#25

Grok 4.20 Beta
xAI

$0.009200
vs Gemini 3.1 Flash: ↑ 228.6%
#26

Claude Opus 5.5
Anthropic

$0.010600
vs Gemini 3.1 Flash: ↑ 278.6%
#27

GPT-6.1 Sol
OpenAI

$0.010700
vs Gemini 3.1 Flash: ↑ 282.1%
#28

GPT-6 Sol
OpenAI

$0.010700
vs Gemini 3.1 Flash: ↑ 282.1%
#29

GPT-5.6 Sol
OpenAI

$0.010700
vs Gemini 3.1 Flash: ↑ 282.1%
#30

Gemini 3.1 Pro
Google

$0.011200 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 300%
#31

Claude Opus 4.7
Anthropic

$0.013375 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 377.7%
#32

Claude Opus 5
Anthropic

$0.013375 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 377.7%
#33

Claude Opus 4.8
Anthropic

$0.013375 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 377.7%
#34

Claude Opus 4.6
Anthropic

$0.013375 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 377.7%
#35

GPT-5.4
OpenAI

$0.014000 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 400%
#36

GPT-5.4 Thinking
OpenAI

$0.014000 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 400%
#37

GPT-5.5 Instant
OpenAI

$0.014000 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 400%
#38

Claude Fable 5.1
Anthropic

$0.026375 (rounded ~ $0.03)
vs Gemini 3.1 Flash: ↑ 842%
#39

Claude Mythos 5.1
Anthropic

$0.026375 (rounded ~ $0.03)
vs Gemini 3.1 Flash: ↑ 842%
#40

Claude Fable 5
Anthropic

$0.026750 (rounded ~ $0.03)
vs Gemini 3.1 Flash: ↑ 855.4%
#41

Claude Mythos 5
Anthropic

$0.026750 (rounded ~ $0.03)
vs Gemini 3.1 Flash: ↑ 855.4%
#42

GPT-5.5
OpenAI

$0.028000 (rounded ~ $0.03)
vs Gemini 3.1 Flash: ↑ 900%
#43

GPT-6 Astra
OpenAI

$0.053500 (rounded ~ $0.05)
vs Gemini 3.1 Flash: ↑ 1810.7%
#44

GPT-5.2 Pro
OpenAI

$0.064050 (rounded ~ $0.06)
vs Gemini 3.1 Flash: ↑ 2187.5%
#45

GPT-5.2 Pro
OpenAI

$0.064050 (rounded ~ $0.06)
vs Gemini 3.1 Flash: ↑ 2187.5%
✨ 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.

For a 20-person startup managing a 10K subscriber list, the ability to generate unique, personalized content at scale is a competitive differentiator. Gemini 3.1 Flash is specifically optimized for high-throughput, low-latency tasks, making it a natural fit for newsletter pipelines where you need to balance speed with a conversational tone. Unlike heavier models, it provides the efficiency required to process thousands of distinct prompt variations without introducing significant delays in your deployment pipeline.

When choosing this model, consider the balance between strict instruction following and creative flexibility. For newsletter intros, you often need the model to maintain brand voice while adapting to specific subscriber data points. Gemini 3.1 Flash excels here by handling structured data inputs—like subscriber demographics or purchase history—seamlessly alongside natural language instructions. This allows your team to move beyond templated emails into truly tailored communication.

Vendor lock-in is a consideration, but the model’s wide availability and robust API support make it a low-risk entry point for startups. If your newsletter requires advanced multimodal inputs, such as analyzing images for product recommendations, this model remains highly capable. For small teams, the focus should remain on integration ease and the ability to iterate on prompt strategies quickly without the overhead of massive, slower models that might be better reserved for more complex analysis tasks.

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 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 3.1 Flash currently costs $0.50 / $3.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

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