Scale Comparison: Gemini 3.1 Pro vs Claude Opus 4.7 for 100,000-Token Financial Analysis

Claude Opus 4.7 has been replaced by Claude Opus 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Opus 5 pricing →  ·  All recent pricing changes

Gemini 3.1 Pro vs Claude Opus 4.7
Complete Comparison: 100,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.100000Best $0.125000 (rounded ~ $0.13)Worst
Output Cost $0.012000 (rounded ~ $0.01)Best $0.012500 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.067000 (rounded ~ $0.07) Best Value $0.081250 (rounded ~ $0.08) Most Expensive
Processing Time 4 minutes, 20.28 seconds Fastest 6 minutes, 40.33 seconds Slowest
Tokens per Second 400Fastest 260Slowest
Time to First Token 220ms Best 400ms Worst
Cost per 1K tokens $0.000657Best $0.000797Worst
Tokens per Dollar 1,522,388Best Value 1,255,385Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.000000Best $1.250000Worst
Output Cost / 1M (Base) $6.000000Best $6.250000Worst
Input Cost / 1M (Optimized) $0.500000Best
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.000000Best
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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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 20s Processing Time
400 Tokens/Second
220ms Time to First Token
392 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

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, 20.28 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Extracting structured financial metrics from large-scale SEC filings like 10-Ks.

Want this applied to YOUR actual stack?

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

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

Claude Opus 4.7 Anthropic 1000000

$0.081250 (rounded ~ $0.08)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.137500 (rounded ~ $0.14) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.081250 (rounded ~ $0.08) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.056250 (rounded ~ $0.06) 40.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.081250 (rounded ~ $0.08)
  • Cost per 1K tokens: $0.000797
  • Tokens per dollar: 1,255,385 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 260 tokens per second and 400ms time to first token:

  • Processing Time: 6 minutes, 40.33 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Extracting structured financial metrics from large-scale SEC filings like 10-Ks.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.7. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ 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 vs Claude Opus 4.7
🏆 Mistral Small 3
Mistral AI
 $0.001525 Best Value ↓ 97.7% cheaper ↓ 98.1% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.004188 ↓ 93.8% cheaper ↓ 94.8% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.005375 (rounded ~ $0.01) ↓ 92% cheaper ↓ 93.4% cheaper
#4 Gemini 2.5 Flash
Google
 $0.005375 (rounded ~ $0.01) ↓ 92% cheaper ↓ 93.4% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007625 (rounded ~ $0.01) ↓ 88.6% cheaper ↓ 90.6% cheaper
#6 Gemini 3.8 Flash
Google
 $0.012188 (rounded ~ $0.01) ↓ 81.8% cheaper ↓ 85% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.012563 (rounded ~ $0.01) ↓ 81.3% cheaper ↓ 84.5% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.015750 (rounded ~ $0.02) ↓ 76.5% cheaper ↓ 80.6% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.016250 (rounded ~ $0.02) ↓ 75.7% cheaper ↓ 80% cheaper
#10 Gemini 3.1 Flash
Google
 $0.016750 (rounded ~ $0.02) ↓ 75% cheaper ↓ 79.4% cheaper
#11 GPT-5.6 Luna
OpenAI
 $0.016750 (rounded ~ $0.02) ↓ 75% cheaper ↓ 79.4% cheaper
#12 o4-mini
OpenAI
 $0.017325 (rounded ~ $0.02) ↓ 74.1% cheaper ↓ 78.7% cheaper
#13 Gemini 3.6 Flash
Google
 $0.024375 (rounded ~ $0.02) ↓ 63.6% cheaper ↓ 70% cheaper
#14 Gemini 3.5 Flash
Google
 $0.025125 (rounded ~ $0.03) ↓ 62.5% cheaper ↓ 69.1% cheaper
#15 GPT-5.3 Codex Spark
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 53.6% cheaper ↓ 61.8% cheaper
#16 GPT-5.3 Instant
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 53.6% cheaper ↓ 61.8% cheaper
#17 Claude Sonnet 5
Anthropic
 $0.032500 (rounded ~ $0.03) ↓ 51.5% cheaper ↓ 60% cheaper
#18 GPT-5.6 Terra
OpenAI
 $0.041875 (rounded ~ $0.04) ↓ 37.5% cheaper ↓ 48.5% cheaper
#19 Gemini 2.5 Pro
Google
 $0.044375 (rounded ~ $0.04) ↓ 33.8% cheaper ↓ 45.4% cheaper
#20 Claude Sonnet 4.6
Anthropic
 $0.048750 (rounded ~ $0.05) ↓ 27.2% cheaper ↓ 40% cheaper
#21 Grok 4.3
xAI
 $0.059000 (rounded ~ $0.06) ↓ 11.9% cheaper ↓ 27.4% cheaper
#22 Grok 4.20 Beta
xAI
 $0.059000 (rounded ~ $0.06) ↓ 11.9% cheaper ↓ 27.4% cheaper
#23 Claude Opus 4.7
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 21.3% more Same price
#24 Claude Opus 5
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 21.3% more Same price
#25 Claude Opus 4.8
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 21.3% more Same price
#26 Claude Opus 4.6
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 21.3% more Same price
#27 GPT-5.4
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 25% more ↑ 3.1% more
#28 GPT-5.4 Thinking
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 25% more ↑ 3.1% more
#29 GPT-5.5 Instant
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 25% more ↑ 3.1% more
#30 GPT-5.6 Sol
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 25% more ↑ 3.1% more
#31 Claude Fable 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 128.5% more ↑ 88.5% more
#32 Claude Mythos 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 128.5% more ↑ 88.5% more
#33 o3 Deep Research
OpenAI
 $0.157500 (rounded ~ $0.16) ↑ 135.1% more ↑ 93.8% more
#34 Claude Fable 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 142.5% more ↑ 100% more
#35 Claude Mythos 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 142.5% more ↑ 100% more
#36 GPT-5.5
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 150% more ↑ 106.2% more
#37 o3 Pro
OpenAI
 $0.315000 (rounded ~ $0.32) ↑ 370.1% more ↑ 287.7% more
#38 GPT-6 Astra
OpenAI
 $0.325000 (rounded ~ $0.33) ↑ 385.1% more ↑ 300% more
#39 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 456.3% more ↑ 358.8% more
#40 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 456.3% more ↑ 358.8% more
🏆

Mistral Small 3
Mistral AI

$0.001525
vs Gemini 3.1 Pro: ↓ 97.7%
vs Claude Opus 4.7: ↓ 98.1%
🥈

Gemini 3.1 Flash Lite
Google

$0.004188
vs Gemini 3.1 Pro: ↓ 93.8%
vs Claude Opus 4.7: ↓ 94.8%
🥉

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 92%
vs Claude Opus 4.7: ↓ 93.4%
#4

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 92%
vs Claude Opus 4.7: ↓ 93.4%
#5

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 88.6%
vs Claude Opus 4.7: ↓ 90.6%
#6

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 81.8%
vs Claude Opus 4.7: ↓ 85%
#7

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 81.3%
vs Claude Opus 4.7: ↓ 84.5%
#8

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 76.5%
vs Claude Opus 4.7: ↓ 80.6%
#9

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 75.7%
vs Claude Opus 4.7: ↓ 80%
#10

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 75%
vs Claude Opus 4.7: ↓ 79.4%
#11

GPT-5.6 Luna
OpenAI

$0.016750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 75%
vs Claude Opus 4.7: ↓ 79.4%
#12

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 74.1%
vs Claude Opus 4.7: ↓ 78.7%
#13

Gemini 3.6 Flash
Google

$0.024375 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 63.6%
vs Claude Opus 4.7: ↓ 70%
#14

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 62.5%
vs Claude Opus 4.7: ↓ 69.1%
#15

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 53.6%
vs Claude Opus 4.7: ↓ 61.8%
#16

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 53.6%
vs Claude Opus 4.7: ↓ 61.8%
#17

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 51.5%
vs Claude Opus 4.7: ↓ 60%
#18

GPT-5.6 Terra
OpenAI

$0.041875 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↓ 37.5%
vs Claude Opus 4.7: ↓ 48.5%
#19

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↓ 33.8%
vs Claude Opus 4.7: ↓ 45.4%
#20

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs Gemini 3.1 Pro: ↓ 27.2%
vs Claude Opus 4.7: ↓ 40%
#21

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)
vs Gemini 3.1 Pro: ↓ 11.9%
vs Claude Opus 4.7: ↓ 27.4%
#22

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)
vs Gemini 3.1 Pro: ↓ 11.9%
vs Claude Opus 4.7: ↓ 27.4%
#23

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 21.3%
vs Claude Opus 4.7: Same
#24

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 21.3%
vs Claude Opus 4.7: Same
#25

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 21.3%
vs Claude Opus 4.7: Same
#26

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 21.3%
vs Claude Opus 4.7: Same
#27

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↑ 3.1%
#28

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↑ 3.1%
#29

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↑ 3.1%
#30

GPT-5.6 Sol
OpenAI

$0.083750 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↑ 3.1%
#31

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Gemini 3.1 Pro: ↑ 128.5%
vs Claude Opus 4.7: ↑ 88.5%
#32

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Gemini 3.1 Pro: ↑ 128.5%
vs Claude Opus 4.7: ↑ 88.5%
#33

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)
vs Gemini 3.1 Pro: ↑ 135.1%
vs Claude Opus 4.7: ↑ 93.8%
#34

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Gemini 3.1 Pro: ↑ 142.5%
vs Claude Opus 4.7: ↑ 100%
#35

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Gemini 3.1 Pro: ↑ 142.5%
vs Claude Opus 4.7: ↑ 100%
#36

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Gemini 3.1 Pro: ↑ 150%
vs Claude Opus 4.7: ↑ 106.2%
#37

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)
vs Gemini 3.1 Pro: ↑ 370.1%
vs Claude Opus 4.7: ↑ 287.7%
#38

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs Gemini 3.1 Pro: ↑ 385.1%
vs Claude Opus 4.7: ↑ 300%
#39

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Gemini 3.1 Pro: ↑ 456.3%
vs Claude Opus 4.7: ↑ 358.8%
#40

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Gemini 3.1 Pro: ↑ 456.3%
vs Claude Opus 4.7: ↑ 358.8%
✨ 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.

Financial earnings analysis requires high precision when parsing 100-page 10-K filings. When processing 100,000-token documents, developers must weigh the need for structured extraction against the model’s ability to maintain context across dense financial tables and nuanced risk disclosures.

Gemini 3.1 Pro excels in scenarios where the workload involves multi-document synthesis or processing embedded charts within the filing. Its handling of massive context windows allows for comprehensive review of multiple years of earnings data without losing track of long-term trends or consolidated footnote details. This makes it a strong candidate for broad research tasks where connecting disparate signals across a large data corpus is the primary objective.

In contrast, Claude Opus 4.7 is often the preferred choice for tasks requiring high-fidelity logical reasoning and strict adherence to specific output schemas. When transforming unstructured text into structured JSON for an in-game NPC dialogue system or an automated financial dashboard, Claude’s ability to follow complex, multi-step instructions minimizes hallucinated figures and improves structural reliability.

For indie developers, the choice often hinges on the specific requirement of the financial pipeline. If your primary goal is summarizing vast amounts of historical data across several filings, the larger context handling of Gemini is beneficial. However, for precise extraction of quarterly revenue, EPS, and specific GAAP adjustments, Claude’s reasoning capabilities offer a higher degree of reliability. Both models perform well for this use case, but benchmarking them against your specific 10-K structure is essential before committing to a long-term production pipeline.

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.

Compare across providers

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