Financial Earnings Analysis: 100,000-Token 10-K Filings with Gemini 3.1 Pro

Complete Analysis: 102,000 tokens for Gemini 3.1 Pro
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Pro model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.067000 (rounded ~ $0.07) Total Cost
102,000 Total Tokens
4 minutes, 22.83 seconds Processing Time
388 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 1,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
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.

Calculate Token Costs

$0.067000 Total Cost
$0.050000 Input Cost
$0.012000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
102,000Total Tokens
$0.000657Cost per 1K
1,522,388Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

4m 22s Processing Time
400 Tokens/Second
220ms Time to First Token
388 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 Pro Google 1000000

$0.067000 (rounded ~ $0.07)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
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) $0.112000 (rounded ~ $0.11) Input: $0.100000
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost $0.067000 (rounded ~ $0.07) Input: $0.100000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.045000 (rounded ~ $0.05) 40.2% 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 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.012000 (rounded ~ $0.01)
  • Total Cost: $0.067000 (rounded ~ $0.07)
  • Cost per 1K tokens: $0.000657
  • Tokens per dollar: 1,522,388 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 4 minutes, 22.83 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 388 tokens/second (temperature-adjusted)

Best Use Cases

High-precision extraction of structured data from complexlong-form financial documents where reasoning accuracy is paramount.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $0.001525 Best Value ↓ 97.7% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.004188 ↓ 93.8% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.005375 (rounded ~ $0.01) ↓ 92% cheaper
#4 Gemini 2.5 Flash
Google
 $0.005375 (rounded ~ $0.01) ↓ 92% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007625 (rounded ~ $0.01) ↓ 88.6% cheaper
#6 Gemini 3.8 Flash
Google
 $0.012188 (rounded ~ $0.01) ↓ 81.8% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.012563 (rounded ~ $0.01) ↓ 81.3% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.015750 (rounded ~ $0.02) ↓ 76.5% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.016250 (rounded ~ $0.02) ↓ 75.7% cheaper
#10 Gemini 3.1 Flash
Google
 $0.016750 (rounded ~ $0.02) ↓ 75% cheaper
#11 GPT-5.6 Luna
OpenAI
 $0.016750 (rounded ~ $0.02) ↓ 75% cheaper
#12 o4-mini
OpenAI
 $0.017325 (rounded ~ $0.02) ↓ 74.1% cheaper
#13 Gemini 3.6 Flash
Google
 $0.024375 (rounded ~ $0.02) ↓ 63.6% cheaper
#14 Gemini 3.5 Flash
Google
 $0.025125 (rounded ~ $0.03) ↓ 62.5% cheaper
#15 GPT-5.3 Codex Spark
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 53.6% cheaper
#16 GPT-5.3 Instant
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 53.6% cheaper
#17 Claude Sonnet 5
Anthropic
 $0.032500 (rounded ~ $0.03) ↓ 51.5% cheaper
#18 GPT-5.6 Terra
OpenAI
 $0.041875 (rounded ~ $0.04) ↓ 37.5% cheaper
#19 Gemini 2.5 Pro
Google
 $0.044375 (rounded ~ $0.04) ↓ 33.8% cheaper
#20 Claude Sonnet 4.6
Anthropic
 $0.048750 (rounded ~ $0.05) ↓ 27.2% cheaper
#21 Grok 4.3
xAI
 $0.059000 (rounded ~ $0.06) ↓ 11.9% cheaper
#22 Grok 4.20 Beta
xAI
 $0.059000 (rounded ~ $0.06) ↓ 11.9% cheaper
#23 Claude Opus 4.7
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 21.3% more
#24 Claude Opus 5
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 21.3% more
#25 Claude Opus 4.8
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 21.3% more
#26 Claude Opus 4.6
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 21.3% more
#27 GPT-5.4
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 25% more
#28 GPT-5.4 Thinking
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 25% more
#29 GPT-5.5 Instant
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 25% more
#30 GPT-5.6 Sol
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 25% more
#31 Claude Fable 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 128.5% more
#32 Claude Mythos 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 128.5% more
#33 o3 Deep Research
OpenAI
 $0.157500 (rounded ~ $0.16) ↑ 135.1% more
#34 Claude Fable 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 142.5% more
#35 Claude Mythos 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 142.5% more
#36 GPT-5.5
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 150% more
#37 o3 Pro
OpenAI
 $0.315000 (rounded ~ $0.32) ↑ 370.1% more
#38 GPT-6 Astra
OpenAI
 $0.325000 (rounded ~ $0.33) ↑ 385.1% more
#39 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 456.3% more
#40 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 456.3% more
🏆

Mistral Small 3
Mistral AI

$0.001525
vs Gemini 3.1 Pro: ↓ 97.7%
🥈

Gemini 3.1 Flash Lite
Google

$0.004188
vs Gemini 3.1 Pro: ↓ 93.8%
🥉

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 92%
#4

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 92%
#5

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 88.6%
#6

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 81.8%
#7

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 81.3%
#8

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 76.5%
#9

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 75.7%
#10

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 75%
#11

GPT-5.6 Luna
OpenAI

$0.016750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 75%
#12

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 74.1%
#13

Gemini 3.6 Flash
Google

$0.024375 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 63.6%
#14

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 62.5%
#15

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 53.6%
#16

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 53.6%
#17

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 51.5%
#18

GPT-5.6 Terra
OpenAI

$0.041875 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↓ 37.5%
#19

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↓ 33.8%
#20

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs Gemini 3.1 Pro: ↓ 27.2%
#21

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)
vs Gemini 3.1 Pro: ↓ 11.9%
#22

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)
vs Gemini 3.1 Pro: ↓ 11.9%
#23

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 21.3%
#24

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 21.3%
#25

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 21.3%
#26

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 21.3%
#27

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 25%
#28

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 25%
#29

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 25%
#30

GPT-5.6 Sol
OpenAI

$0.083750 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 25%
#31

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Gemini 3.1 Pro: ↑ 128.5%
#32

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Gemini 3.1 Pro: ↑ 128.5%
#33

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)
vs Gemini 3.1 Pro: ↑ 135.1%
#34

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Gemini 3.1 Pro: ↑ 142.5%
#35

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Gemini 3.1 Pro: ↑ 142.5%
#36

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Gemini 3.1 Pro: ↑ 150%
#37

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)
vs Gemini 3.1 Pro: ↑ 370.1%
#38

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs Gemini 3.1 Pro: ↑ 385.1%
#39

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Gemini 3.1 Pro: ↑ 456.3%
#40

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Gemini 3.1 Pro: ↑ 456.3%
✨ 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 Large-Scale 10-K Parsing

For localization managers and enterprise architects handling financial earnings analysis, the primary bottleneck is often the effective parsing of dense, multi-page 10-K filings. These documents frequently contain complex table structures, nested footnotes, and varying narrative styles that challenge standard extraction pipelines. Gemini 3.1 Pro excels in this domain due to its refined reasoning architecture, which allows it to maintain coherence across massive document structures while minimizing the structural hallucinations often seen in smaller models.

When processing 100,000-token filings, the model demonstrates high semantic fidelity, ensuring that cross-document references—such as matching an audit finding in the notes to a specific line item in the balance sheet—remain accurate. Unlike models that rely on simple pattern matching, Gemini 3.1 Pro is better equipped for the nuance of financial jargon, making it a strong candidate for teams prioritizing high-precision automated data extraction over raw speed.

For high-volume production, the model’s native multimodal capabilities provide an advantage when these filings include embedded charts or diagrams that traditional OCR might misinterpret. However, teams should account for the model’s operational overhead; while it offers superior reasoning depth, it is best utilized in scenarios where the accuracy of the extracted data is the primary business driver, rather than the lowest possible inference cost.

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 Pro currently costs $2.00 / $12.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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