Claude Sonnet 4.6 vs Gemini 3.1 Pro: Bulk Description Generation Cost Comparison

Claude Sonnet 4.6 vs Gemini 3.1 Pro
Complete Comparison: 500 input tokens × 800 output tokens
Comparison Mode
⚡ 80% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 80% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 4.6
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (80% cached)
Input Tokens 500 500
Output Tokens 800 800
Cost Breakdown
Input Cost $0.000375Best $0.000500Worst
Output Cost $0.003000Best $0.004800Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.003105 Best Value $0.004940 Most Expensive
Processing Time 3.27 seconds Fastest 3.66 seconds Slowest
Tokens per Second 450Fastest 400Slowest
Time to First Token 200ms Best 220ms Worst
Cost per 1K tokens $0.002388Best $0.003800Worst
Tokens per Dollar 418,680Best Value 263,158Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Best $1.000000Worst
Output Cost / 1M (Base) $3.750000Best $6.000000Worst
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Best
Optimizations: 50.0% batch
$0.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Best
Optimizations: 50.0% batch
$3.000000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
80
✓ 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

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
Use Batch API (50% discount)
80%
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

$0.003105 Total Cost
$0.000075 Input Cost
$0.003000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,300Total Tokens
$0.002388Cost per 1K
418,680Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3.27s Processing Time
450 Tokens/Second
200ms Time to First Token
421 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

$0.003105
Total Cost
⚡ 80% Cached 📊 Batch API
👁️
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) $0.003375 Input: $0.000375
Output: $0.003000
Optimized Cost $0.003105 Input: $0.000375
Output: $0.003000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000270 8.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 800 output tokens:

  • Input Cost: $0.000375
  • Output Cost: $0.003000
  • Total Cost: $0.003105
  • Cost per 1K tokens: $0.002388
  • Tokens per dollar: 418,680 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: 3.27 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Comparing mid-tiermultimodal-capable models for efficient and cost-effective content generation. Sonnet offers strong performance at a reasonable pricewhile Gemini 3.1 Pro provides excellent multimodal capabilities and a larger context window for potentially more complex prompts.

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 2000000

$0.004940
Total Cost
⚡ 80% 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) $0.005300 (rounded ~ $0.01) Input: $0.000500
Output: $0.004800
Optimized Cost $0.004940 Input: $0.000500
Output: $0.004800
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000360 6.8% 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 500 input tokens and 800 output tokens:

  • Input Cost: $0.000500
  • Output Cost: $0.004800
  • Total Cost: $0.004940
  • Cost per 1K tokens: $0.003800
  • Tokens per dollar: 263,158 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 3.66 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Comparing mid-tiermultimodal-capable models for efficient and cost-effective content generation. Sonnet offers strong performance at a reasonable pricewhile Gemini 3.1 Pro provides excellent multimodal capabilities and a larger context window for potentially more complex prompts.

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: 500
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Gemini 3.1 Pro
🏆 Ministral 3 (14B)
Mistral AI
 $0.000047 Best Value ↓ 98.5% cheaper ↓ 99% cheaper
🥈 Mistral Small 3
Mistral AI
 $0.000064 ↓ 98% cheaper ↓ 98.7% cheaper
🥉 Voxtral Small 24B
Mistral AI
 $0.000064 ↓ 98% cheaper ↓ 98.7% cheaper
#4 Devstral Small 2
Mistral AI
 $0.000064 ↓ 98% cheaper ↓ 98.7% cheaper
#5 Nemotron 3 Super
Mistral AI
 $0.000175 ↓ 94.4% cheaper ↓ 96.5% cheaper
#6 Devstral 2
Mistral AI
 $0.000194 ↓ 93.8% cheaper ↓ 96.1% cheaper
#7 Grok Code Fast 1
xAI
 $0.000307 ↓ 90.1% cheaper ↓ 93.8% cheaper
#8 Gemini 3.1 Flash Lite
Google
 $0.000309 ↓ 90.1% cheaper ↓ 93.8% cheaper
#9 Mistral Large 3
Mistral AI
 $0.000318 ↓ 89.8% cheaper ↓ 93.6% cheaper
#10 Gemini 2.5 Flash
Google
 $0.000511 ↓ 83.6% cheaper ↓ 89.7% cheaper
#11 Grok 4.3
xAI
 $0.000544 ↓ 82.5% cheaper ↓ 89% cheaper
#12 o4-mini Deep Research
OpenAI
 $0.000835 ↓ 73.1% cheaper ↓ 83.1% cheaper
#13 o4-mini
OpenAI
 $0.000919 ↓ 70.4% cheaper ↓ 81.4% cheaper
#14 GPT-5.4 mini
OpenAI
 $0.000926 ↓ 70.2% cheaper ↓ 81.3% cheaper
#15 Claude Haiku 4.5
Anthropic
 $0.001035 ↓ 66.7% cheaper ↓ 79% cheaper
#16 Magistral Medium
Mistral AI
 $0.001070 ↓ 65.5% cheaper ↓ 78.3% cheaper
#17 Gemini 3.1 Flash
Google
 $0.001235 ↓ 60.2% cheaper ↓ 75% cheaper
#18 Grok 4.20 Beta
xAI
 $0.001270 ↓ 59.1% cheaper ↓ 74.3% cheaper
#19 Gemini 3.5 Flash
Google
 $0.001853 ↓ 40.3% cheaper ↓ 62.5% cheaper
#20 GPT-5.3 Codex Spark
OpenAI
 $0.002861 ↓ 7.9% cheaper ↓ 42.1% cheaper
#21 GPT-5.3 Instant
OpenAI
 $0.002861 ↓ 7.9% cheaper ↓ 42.1% cheaper
#22 Gemini 2.5 Pro
Google
 $0.004088 ↑ 31.6% more ↓ 17.3% cheaper
#23 Gemini 3.1 Pro
Google
 $0.004940 ↑ 59.1% more Same price
#24 Claude Opus 4.7
Anthropic
 $0.005175 (rounded ~ $0.01) ↑ 66.7% more ↑ 4.8% more
#25 Claude Opus 4.8
Anthropic
 $0.005175 (rounded ~ $0.01) ↑ 66.7% more ↑ 4.8% more
#26 Claude Opus 4.6
Anthropic
 $0.005175 (rounded ~ $0.01) ↑ 66.7% more ↑ 4.8% more
#27 GPT-5.4
OpenAI
 $0.006175 (rounded ~ $0.01) ↑ 98.9% more ↑ 25% more
#28 GPT-5.4 Thinking
OpenAI
 $0.006175 (rounded ~ $0.01) ↑ 98.9% more ↑ 25% more
#29 GPT-5.5 Instant
OpenAI
 $0.006175 (rounded ~ $0.01) ↑ 98.9% more ↑ 25% more
#30 o3 Deep Research
OpenAI
 $0.008350 (rounded ~ $0.01) ↑ 168.9% more ↑ 69% more
#31 GPT-5.5
OpenAI
 $0.012350 (rounded ~ $0.01) ↑ 297.7% more ↑ 150% more
#32 o3 Pro
OpenAI
 $0.016700 (rounded ~ $0.02) ↑ 437.8% more ↑ 238.1% more
#33 GPT-5.2 Pro
OpenAI
 $0.034335 (rounded ~ $0.03) ↑ 1005.8% more ↑ 595% more
#34 GPT-5.2 Pro
OpenAI
 $0.034335 (rounded ~ $0.03) ↑ 1005.8% more ↑ 595% more
🏆

Ministral 3 (14B)
Mistral AI

$0.000047
vs Claude Sonnet 4.6: ↓ 98.5%
vs Gemini 3.1 Pro: ↓ 99%
🥈

Mistral Small 3
Mistral AI

$0.000064
vs Claude Sonnet 4.6: ↓ 98%
vs Gemini 3.1 Pro: ↓ 98.7%
🥉

Voxtral Small 24B
Mistral AI

$0.000064
vs Claude Sonnet 4.6: ↓ 98%
vs Gemini 3.1 Pro: ↓ 98.7%
#4

Devstral Small 2
Mistral AI

$0.000064
vs Claude Sonnet 4.6: ↓ 98%
vs Gemini 3.1 Pro: ↓ 98.7%
#5

Nemotron 3 Super
Mistral AI

$0.000175
vs Claude Sonnet 4.6: ↓ 94.4%
vs Gemini 3.1 Pro: ↓ 96.5%
#6

Devstral 2
Mistral AI

$0.000194
vs Claude Sonnet 4.6: ↓ 93.8%
vs Gemini 3.1 Pro: ↓ 96.1%
#7

Grok Code Fast 1
xAI

$0.000307
vs Claude Sonnet 4.6: ↓ 90.1%
vs Gemini 3.1 Pro: ↓ 93.8%
#8

Gemini 3.1 Flash Lite
Google

$0.000309
vs Claude Sonnet 4.6: ↓ 90.1%
vs Gemini 3.1 Pro: ↓ 93.8%
#9

Mistral Large 3
Mistral AI

$0.000318
vs Claude Sonnet 4.6: ↓ 89.8%
vs Gemini 3.1 Pro: ↓ 93.6%
#10

Gemini 2.5 Flash
Google

$0.000511
vs Claude Sonnet 4.6: ↓ 83.6%
vs Gemini 3.1 Pro: ↓ 89.7%
#11

Grok 4.3
xAI

$0.000544
vs Claude Sonnet 4.6: ↓ 82.5%
vs Gemini 3.1 Pro: ↓ 89%
#12

o4-mini Deep Research
OpenAI

$0.000835
vs Claude Sonnet 4.6: ↓ 73.1%
vs Gemini 3.1 Pro: ↓ 83.1%
#13

o4-mini
OpenAI

$0.000919
vs Claude Sonnet 4.6: ↓ 70.4%
vs Gemini 3.1 Pro: ↓ 81.4%
#14

GPT-5.4 mini
OpenAI

$0.000926
vs Claude Sonnet 4.6: ↓ 70.2%
vs Gemini 3.1 Pro: ↓ 81.3%
#15

Claude Haiku 4.5
Anthropic

$0.001035
vs Claude Sonnet 4.6: ↓ 66.7%
vs Gemini 3.1 Pro: ↓ 79%
#16

Magistral Medium
Mistral AI

$0.001070
vs Claude Sonnet 4.6: ↓ 65.5%
vs Gemini 3.1 Pro: ↓ 78.3%
#17

Gemini 3.1 Flash
Google

$0.001235
vs Claude Sonnet 4.6: ↓ 60.2%
vs Gemini 3.1 Pro: ↓ 75%
#18

Grok 4.20 Beta
xAI

$0.001270
vs Claude Sonnet 4.6: ↓ 59.1%
vs Gemini 3.1 Pro: ↓ 74.3%
#19

Gemini 3.5 Flash
Google

$0.001853
vs Claude Sonnet 4.6: ↓ 40.3%
vs Gemini 3.1 Pro: ↓ 62.5%
#20

GPT-5.3 Codex Spark
OpenAI

$0.002861
vs Claude Sonnet 4.6: ↓ 7.9%
vs Gemini 3.1 Pro: ↓ 42.1%
#21

GPT-5.3 Instant
OpenAI

$0.002861
vs Claude Sonnet 4.6: ↓ 7.9%
vs Gemini 3.1 Pro: ↓ 42.1%
#22

Gemini 2.5 Pro
Google

$0.004088
vs Claude Sonnet 4.6: ↑ 31.6%
vs Gemini 3.1 Pro: ↓ 17.3%
#23

Gemini 3.1 Pro
Google

$0.004940
vs Claude Sonnet 4.6: ↑ 59.1%
vs Gemini 3.1 Pro: Same
#24

Claude Opus 4.7
Anthropic

$0.005175 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 4.8%
#25

Claude Opus 4.8
Anthropic

$0.005175 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 4.8%
#26

Claude Opus 4.6
Anthropic

$0.005175 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 4.8%
#27

GPT-5.4
OpenAI

$0.006175 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 98.9%
vs Gemini 3.1 Pro: ↑ 25%
#28

GPT-5.4 Thinking
OpenAI

$0.006175 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 98.9%
vs Gemini 3.1 Pro: ↑ 25%
#29

GPT-5.5 Instant
OpenAI

$0.006175 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 98.9%
vs Gemini 3.1 Pro: ↑ 25%
#30

o3 Deep Research
OpenAI

$0.008350 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 168.9%
vs Gemini 3.1 Pro: ↑ 69%
#31

GPT-5.5
OpenAI

$0.012350 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 297.7%
vs Gemini 3.1 Pro: ↑ 150%
#32

o3 Pro
OpenAI

$0.016700 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↑ 437.8%
vs Gemini 3.1 Pro: ↑ 238.1%
#33

GPT-5.2 Pro
OpenAI

$0.034335 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↑ 1005.8%
vs Gemini 3.1 Pro: ↑ 595%
#34

GPT-5.2 Pro
OpenAI

$0.034335 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↑ 1005.8%
vs Gemini 3.1 Pro: ↑ 595%
✨ 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.

Comparing Claude Sonnet 4.6 and Gemini 3.1 Pro for Bulk Content

This comparison evaluates the cost of generating 5,000 product descriptions, with each description requiring 500 input tokens and 800 output tokens (totaling 6.5 million tokens for the batch). The calculator entries below reflect the per-item token usage (500 input, 800 output).

Both Claude Sonnet 4.6 and Gemini 3.1 Pro are powerful, mid-tier models suitable for bulk content generation. Claude Sonnet 4.6, priced at $3/1M input and $15/1M output tokens, offers a strong balance of performance and cost [2, 4, 5, 8, 21, 35, 36]. For this workload, it would cost approximately $67.5.

Gemini 3.1 Pro, on the other hand, is priced at $2/1M input and $12/1M output tokens [3, 11, 17, 24]. This makes the estimated cost for the same workload approximately $53. Gemini 3.1 Pro also boasts a larger 2,000,000 token context window compared to Sonnet 4.6’s 1,000,000 tokens [36].

Claude Sonnet 4.6 Strengths:

  • Balanced Performance: Offers near-Opus level intelligence at a more accessible price point.
  • Reliability: Known for consistent and high-quality output.
  • Large Context Window: 1M token context is sufficient for most description generation tasks.

Gemini 3.1 Pro Strengths:

  • Cost-Effectiveness: Generally cheaper than Sonnet 4.6 for this specific task.
  • Larger Context Window: 2M tokens provide more flexibility for longer or more complex prompts.
  • Multimodality: While not used here, its inherent multimodal capabilities can be a plus for broader applications.

For pure bulk description generation, Gemini 3.1 Pro appears to be the more economical choice. However, if the content requires more nuanced reasoning or creative flair, Sonnet 4.6 might offer a slight edge in quality for a modest increase in cost.

Calculator Entries: Side-by-Side Comparison

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.