Internal Q&A Scaling: Claude Sonnet 4.6 vs Gemini 3.1 Pro for 10,000 Monthly Queries

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5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 Sonnet 5 pricing →  ·  All recent pricing changes

Claude Sonnet 4.6 vs Gemini 3.1 Pro
Complete Comparison: 25,000 input tokens × 500 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)
Comparison Criteria Claude Sonnet 4.6
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 25,000 25,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.075000 (rounded ~ $0.08)Worst $0.050000Best
Output Cost $0.007500 (rounded ~ $0.01)Worst $0.006000 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.048750 (rounded ~ $0.05) Most Expensive $0.033500 (rounded ~ $0.03) Best Value
Processing Time 57.98 seconds Fastest 1 minute, 5.21 seconds Slowest
Tokens per Second 450Fastest 400Slowest
Time to First Token 200ms Best 220ms Worst
Cost per 1K tokens $0.001912Worst $0.001314Best
Tokens per Dollar 523,077Worst Value 761,194Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $3.000000Worst $2.000000Best
Output Cost / 1M (Base) $15.000000Worst $12.000000Best
Input Cost / 1M (Optimized) $3.000000Worst
Optimizations: No optimizations applied
$2.000000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $15.000000Worst
Optimizations: No optimizations applied
$12.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

Select AI Model

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
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

$0.048750 Total Cost
$0.037500 Input Cost
$0.007500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
25,500Total Tokens
$0.001912Cost per 1K
523,077Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

57.98s Processing Time
450 Tokens/Second
200ms Time to First Token
441 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.

Claude Sonnet 4.6 Anthropic 1000000

$0.048750 (rounded ~ $0.05)
Total Cost
⚡ 50% Cached 🔧 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) $0.082500 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.048750 (rounded ~ $0.05) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 40.9% discount

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 500 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.048750 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.001912
  • Tokens per dollar: 523,077 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 57.98 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

Best for internal RAG pipelines and knowledge base retrieval requiring high accuracy and document-level reasoning.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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 →

Gemini 3.1 Pro Google 1000000

$0.033500 (rounded ~ $0.03)
Total Cost
⚡ 50% Cached 🔧 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) $0.056000 (rounded ~ $0.06) Input: $0.050000
Output: $0.006000 (rounded ~ $0.01)
Optimized Cost $0.033500 (rounded ~ $0.03) Input: $0.050000
Output: $0.006000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.022500 (rounded ~ $0.02) 40.2% discount

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 500 output tokens:

  • Input Cost: $0.050000
  • Output Cost: $0.006000 (rounded ~ $0.01)
  • Total Cost: $0.033500 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.001314
  • Tokens per dollar: 761,194 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: 1 minute, 5.21 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Best for internal RAG pipelines and knowledge base retrieval requiring high accuracy and document-level reasoning.

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 →

✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 25,000
Output Tokens: 500
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $0.001525 Best Value ↓ 96.9% cheaper ↓ 95.4% cheaper
🥈 Grok Code Fast 1
xAI
 $0.003500 ↓ 92.8% cheaper ↓ 89.6% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.004188 ↓ 91.4% cheaper ↓ 87.5% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.005375 (rounded ~ $0.01) ↓ 89% cheaper ↓ 84% cheaper
#5 Gemini 2.5 Flash
Google
 $0.005375 (rounded ~ $0.01) ↓ 89% cheaper ↓ 84% cheaper
#6 Mistral Large 3
Mistral AI
 $0.007625 (rounded ~ $0.01) ↓ 84.4% cheaper ↓ 77.2% cheaper
#7 Gemini 3.1 Flash
Google
 $0.008375 (rounded ~ $0.01) ↓ 82.8% cheaper ↓ 75% cheaper
#8 Kimi K2.5
Moonshot AI
 $0.010275 ↓ 78.9% cheaper ↓ 69.3% cheaper
#9 Gemini 3.8 Flash
Google
 $0.012188 (rounded ~ $0.01) ↓ 75% cheaper ↓ 63.6% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.012563 (rounded ~ $0.01) ↓ 74.2% cheaper ↓ 62.5% cheaper
#11 Grok Build 0.1
xAI
 $0.014750 (rounded ~ $0.01) ↓ 69.7% cheaper ↓ 56% cheaper
#12 o4-mini Deep Research
OpenAI
 $0.015750 (rounded ~ $0.02) ↓ 67.7% cheaper ↓ 53% cheaper
#13 Kimi K2.6
Moonshot AI
 $0.015894 (rounded ~ $0.02) ↓ 67.4% cheaper ↓ 52.6% cheaper
#14 Kimi K2.7 Code
Moonshot AI
 $0.015894 (rounded ~ $0.02) ↓ 67.4% cheaper ↓ 52.6% cheaper
#15 Claude Haiku 4.5
Anthropic
 $0.016250 (rounded ~ $0.02) ↓ 66.7% cheaper ↓ 51.5% cheaper
#16 GPT-5.6 Luna
OpenAI
 $0.016750 (rounded ~ $0.02) ↓ 65.6% cheaper ↓ 50% cheaper
#17 o4-mini
OpenAI
 $0.017325 (rounded ~ $0.02) ↓ 64.5% cheaper ↓ 48.3% cheaper
#18 Grok 4.3
xAI
 $0.018438 (rounded ~ $0.02) ↓ 62.2% cheaper ↓ 45% cheaper
#19 Grok 4.20 Beta
xAI
 $0.018438 (rounded ~ $0.02) ↓ 62.2% cheaper ↓ 45% cheaper
#20 Gemini 2.5 Pro
Google
 $0.022188 (rounded ~ $0.02) ↓ 54.5% cheaper ↓ 33.8% cheaper
#21 Gemini 3.6 Flash
Google
 $0.024375 (rounded ~ $0.02) ↓ 50% cheaper ↓ 27.2% cheaper
#22 Gemini 3.5 Flash
Google
 $0.025125 (rounded ~ $0.03) ↓ 48.5% cheaper ↓ 25% cheaper
#23 Grok 4.6
xAI
 $0.030500 ↓ 37.4% cheaper ↓ 9% cheaper
#24 Grok 4.5
xAI
 $0.030500 ↓ 37.4% cheaper ↓ 9% cheaper
#25 GPT-5.3 Codex Spark
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 36.3% cheaper ↓ 7.3% cheaper
#26 GPT-5.3 Instant
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 36.3% cheaper ↓ 7.3% cheaper
#27 Claude Sonnet 5
Anthropic
 $0.032500 (rounded ~ $0.03) ↓ 33.3% cheaper ↓ 3% cheaper
#28 Gemini 3.1 Pro
Google
 $0.033500 (rounded ~ $0.03) ↓ 31.3% cheaper Same price
#29 GPT-5.4
OpenAI
 $0.041875 (rounded ~ $0.04) ↓ 14.1% cheaper ↑ 25% more
#30 GPT-5.4 Thinking
OpenAI
 $0.041875 (rounded ~ $0.04) ↓ 14.1% cheaper ↑ 25% more
#31 GPT-5.6 Terra
OpenAI
 $0.041875 (rounded ~ $0.04) ↓ 14.1% cheaper ↑ 25% more
#32 Claude Opus 4.7
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more ↑ 142.5% more
#33 Claude Opus 5
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more ↑ 142.5% more
#34 Claude Opus 4.8
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more ↑ 142.5% more
#35 Claude Opus 4.6
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more ↑ 142.5% more
#36 GPT-5.5
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more ↑ 150% more
#37 GPT-5.5 Instant
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more ↑ 150% more
#38 GPT-5.6 Sol
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more ↑ 150% more
#39 Claude Fable 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 214.1% more ↑ 357.1% more
#40 Claude Mythos 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 214.1% more ↑ 357.1% more
#41 o3 Deep Research
OpenAI
 $0.157500 (rounded ~ $0.16) ↑ 223.1% more ↑ 370.1% more
#42 Claude Fable 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 233.3% more ↑ 385.1% more
#43 Claude Mythos 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 233.3% more ↑ 385.1% more
#44 GPT-6 Astra
OpenAI
 $0.162500 (rounded ~ $0.16) ↑ 233.3% more ↑ 385.1% more
#45 o3 Pro
OpenAI
 $0.315000 (rounded ~ $0.32) ↑ 546.2% more ↑ 840.3% more
#46 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 664.6% more ↑ 1012.7% more
#47 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 664.6% more ↑ 1012.7% more
🏆

Mistral Small 3
Mistral AI

$0.001525
vs Claude Sonnet 4.6: ↓ 96.9%
vs Gemini 3.1 Pro: ↓ 95.4%
🥈

Grok Code Fast 1
xAI

$0.003500
vs Claude Sonnet 4.6: ↓ 92.8%
vs Gemini 3.1 Pro: ↓ 89.6%
🥉

Gemini 3.1 Flash Lite
Google

$0.004188
vs Claude Sonnet 4.6: ↓ 91.4%
vs Gemini 3.1 Pro: ↓ 87.5%
#4

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 89%
vs Gemini 3.1 Pro: ↓ 84%
#5

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 89%
vs Gemini 3.1 Pro: ↓ 84%
#6

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 84.4%
vs Gemini 3.1 Pro: ↓ 77.2%
#7

Gemini 3.1 Flash
Google

$0.008375 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 82.8%
vs Gemini 3.1 Pro: ↓ 75%
#8

Kimi K2.5
Moonshot AI

$0.010275
vs Claude Sonnet 4.6: ↓ 78.9%
vs Gemini 3.1 Pro: ↓ 69.3%
#9

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 75%
vs Gemini 3.1 Pro: ↓ 63.6%
#10

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 74.2%
vs Gemini 3.1 Pro: ↓ 62.5%
#11

Grok Build 0.1
xAI

$0.014750 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 69.7%
vs Gemini 3.1 Pro: ↓ 56%
#12

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 67.7%
vs Gemini 3.1 Pro: ↓ 53%
#13

Kimi K2.6
Moonshot AI

$0.015894 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 67.4%
vs Gemini 3.1 Pro: ↓ 52.6%
#14

Kimi K2.7 Code
Moonshot AI

$0.015894 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 67.4%
vs Gemini 3.1 Pro: ↓ 52.6%
#15

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 66.7%
vs Gemini 3.1 Pro: ↓ 51.5%
#16

GPT-5.6 Luna
OpenAI

$0.016750 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 65.6%
vs Gemini 3.1 Pro: ↓ 50%
#17

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 64.5%
vs Gemini 3.1 Pro: ↓ 48.3%
#18

Grok 4.3
xAI

$0.018438 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 62.2%
vs Gemini 3.1 Pro: ↓ 45%
#19

Grok 4.20 Beta
xAI

$0.018438 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 62.2%
vs Gemini 3.1 Pro: ↓ 45%
#20

Gemini 2.5 Pro
Google

$0.022188 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 54.5%
vs Gemini 3.1 Pro: ↓ 33.8%
#21

Gemini 3.6 Flash
Google

$0.024375 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 50%
vs Gemini 3.1 Pro: ↓ 27.2%
#22

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 48.5%
vs Gemini 3.1 Pro: ↓ 25%
#23

Grok 4.6
xAI

$0.030500
vs Claude Sonnet 4.6: ↓ 37.4%
vs Gemini 3.1 Pro: ↓ 9%
#24

Grok 4.5
xAI

$0.030500
vs Claude Sonnet 4.6: ↓ 37.4%
vs Gemini 3.1 Pro: ↓ 9%
#25

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 36.3%
vs Gemini 3.1 Pro: ↓ 7.3%
#26

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 36.3%
vs Gemini 3.1 Pro: ↓ 7.3%
#27

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 33.3%
vs Gemini 3.1 Pro: ↓ 3%
#28

Gemini 3.1 Pro
Google

$0.033500 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 31.3%
vs Gemini 3.1 Pro: Same
#29

GPT-5.4
OpenAI

$0.041875 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 14.1%
vs Gemini 3.1 Pro: ↑ 25%
#30

GPT-5.4 Thinking
OpenAI

$0.041875 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 14.1%
vs Gemini 3.1 Pro: ↑ 25%
#31

GPT-5.6 Terra
OpenAI

$0.041875 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 14.1%
vs Gemini 3.1 Pro: ↑ 25%
#32

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 142.5%
#33

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 142.5%
#34

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 142.5%
#35

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 142.5%
#36

GPT-5.5
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
vs Gemini 3.1 Pro: ↑ 150%
#37

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
vs Gemini 3.1 Pro: ↑ 150%
#38

GPT-5.6 Sol
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
vs Gemini 3.1 Pro: ↑ 150%
#39

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Claude Sonnet 4.6: ↑ 214.1%
vs Gemini 3.1 Pro: ↑ 357.1%
#40

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Claude Sonnet 4.6: ↑ 214.1%
vs Gemini 3.1 Pro: ↑ 357.1%
#41

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)
vs Claude Sonnet 4.6: ↑ 223.1%
vs Gemini 3.1 Pro: ↑ 370.1%
#42

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Sonnet 4.6: ↑ 233.3%
vs Gemini 3.1 Pro: ↑ 385.1%
#43

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Sonnet 4.6: ↑ 233.3%
vs Gemini 3.1 Pro: ↑ 385.1%
#44

GPT-6 Astra
OpenAI

$0.162500 (rounded ~ $0.16)
vs Claude Sonnet 4.6: ↑ 233.3%
vs Gemini 3.1 Pro: ↑ 385.1%
#45

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)
vs Claude Sonnet 4.6: ↑ 546.2%
vs Gemini 3.1 Pro: ↑ 840.3%
#46

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 4.6: ↑ 664.6%
vs Gemini 3.1 Pro: ↑ 1012.7%
#47

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 4.6: ↑ 664.6%
vs Gemini 3.1 Pro: ↑ 1012.7%
✨ 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 building an internal employee Q&A system, the choice of model often comes down to retrieval efficiency versus raw reasoning capability. For a workload involving 50 distinct documents, the system must navigate complex policy nuances, HR guidelines, and operational procedures without hallucinating answers.

Claude Sonnet 4.6 excels in environments where instruction following is paramount. It demonstrates a high degree of fidelity when processing retrieved snippets, ensuring that the final answer aligns strictly with the source material—a critical requirement for compliance-heavy internal documentation. If your Q&A system relies on a RAG architecture that pulls specific chunks from your knowledge base, this model provides the architectural reliability needed to minimize errors.

Gemini 3.1 Pro offers a different strategic advantage. With its extensive context window, it is particularly effective for workflows where you might prefer to load broader context or even entire segments of your knowledge base directly into the prompt. This can reduce the reliance on complex retrieval logic, potentially simplifying your system’s backend. For teams managing diverse document types, its multimodal capabilities also allow for seamless integration of charts or diagrams often found in internal presentations.

Deciding between these two depends on your retrieval strategy. If you prioritize strict adherence to retrieved text, Claude offers a robust, predictable performance. If your goal is to minimize retrieval complexity by utilizing larger context segments, Gemini’s architecture is often the superior choice.

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

Claude Sonnet 4.6 currently costs $3.00 / $15.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →