Claude Sonnet 4.6 vs Gemini 3.1 Flash-Lite for 1,000 Document Extractions

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5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 Flash-Lite
Complete Comparison: 500,000 input tokens × 1,000 output tokens
Comparison Mode
🖼️ 1000 Images ⚡ 10% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1000 Images, 10% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 4.6
Anthropic
Gemini 3.1 Flash-Lite
Google
Calculation Results (Current Inputs) (1000 images, 10% cached)
Input Tokens 500,000 500,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.762000 (rounded ~ $0.76)Worst $0.063500 (rounded ~ $0.06)Best
Output Cost $0.003750Worst $0.000375Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.697170 (rounded ~ $0.70) Most Expensive $0.058160 (rounded ~ $0.06) Best Value
Processing Time 38 minutes, 47.98 seconds Slowest 17 minutes, 27.69 seconds Fastest
Tokens per Second 450Slowest 1,000Fastest
Time to First Token 200ms Worst 80ms Best
Cost per 1K tokens $0.000686Worst $0.000057Best
Tokens per Dollar 1,458,755Worst Value 17,486,245Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.062500 (rounded ~ $0.06)Best
Output Cost / 1M (Base) $3.750000Worst $0.375000 (rounded ~ $0.38)Best
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Worst
Optimizations: 50.0% batch
$0.031250 (rounded ~ $0.03)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Worst
Optimizations: 50.0% batch
$0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1000
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
OCR Support ✗ Not Supported ✓ Supported
Caching Support
10
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
Use Batch API (50% discount)
10%
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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.697170 Total Cost
$0.685800 Input Cost
$0.003750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,017,000Total Tokens
$0.000686Cost per 1K
1,458,755Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

38m 47s Processing Time
450 Tokens/Second
200ms Time to First Token
437 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

$0.697170 (rounded ~ $0.70)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium) ⚡ 10% 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) $0.765750 (rounded ~ $0.77) Input: $0.762000 (rounded ~ $0.76)
Output: $0.003750
Optimized Cost $0.697170 (rounded ~ $0.70) Input: $0.762000 (rounded ~ $0.76)
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.068580 (rounded ~ $0.07) 9.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: Medium
Tokens: 516,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.762000 (rounded ~ $0.76)
  • Output Cost: $0.003750
  • Total Cost: $0.697170 (rounded ~ $0.70)
  • Cost per 1K tokens: $0.000686
  • Tokens per dollar: 1,458,755 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: 38 minutes, 47.98 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Claude for complexhigh-reasoning document interpretation; Gemini for cost-optimizedhigh-throughput batch extraction.

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.

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Gemini 3.1 Flash-Lite Google 1000000

$0.058160 (rounded ~ $0.06)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium) ⚡ 10% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.063875 (rounded ~ $0.06) Input: $0.063500 (rounded ~ $0.06)
Output: $0.000375
Optimized Cost $0.058160 (rounded ~ $0.06) Input: $0.063500 (rounded ~ $0.06)
Output: $0.000375
Unit: $0.000000
Fees: $0.000000
Total Savings $0.005715 (rounded ~ $0.01) 8.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: Medium
Tokens: 516,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.063500 (rounded ~ $0.06)
  • Output Cost: $0.000375
  • Total Cost: $0.058160 (rounded ~ $0.06)
  • Cost per 1K tokens: $0.000057
  • Tokens per dollar: 17,486,245 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

  • Processing Time: 17 minutes, 27.69 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 971 tokens/second (temperature-adjusted)

Best Use Cases

Claude for complexhigh-reasoning document interpretation; Gemini for cost-optimizedhigh-throughput batch extraction.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash-Lite. 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: 500,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 10%
Images: 1000 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Gemini 3.1 Flash-Lite
🏆 Gemini 3.1 Flash Lite
Google
 $0.058160 (rounded ~ $0.06) Best Value ↓ 91.7% cheaper Same price
🥈 Gemini 3.5 Flash-Lite
Google
 $0.069967 ↓ 90% cheaper ↑ 20.3% more
🥉 Gemini 2.5 Flash
Google
 $0.069967 ↓ 90% cheaper ↑ 20.3% more
#4 Gemini 3.8 Flash
Google
 $0.174293 (rounded ~ $0.17) ↓ 75% cheaper ↑ 199.7% more
#5 GPT-5.6 Luna
OpenAI
 $0.232640 (rounded ~ $0.23) ↓ 66.6% cheaper ↑ 300% more
#6 Gemini 3.6 Flash
Google
 $0.348585 (rounded ~ $0.35) ↓ 50% cheaper ↑ 499.4% more
#7 Gemini 3.5 Flash
Google
 $0.348960 (rounded ~ $0.35) ↓ 49.9% cheaper ↑ 500% more
#8 Claude Sonnet 5
Anthropic
 $0.464780 (rounded ~ $0.46) ↓ 33.3% cheaper ↑ 699.1% more
#9 Gemini 3.1 Flash
Google
 $0.465280 (rounded ~ $0.47) ↓ 33.3% cheaper ↑ 700% more
#10 GPT-5.6 Terra
OpenAI
 $0.581600 (rounded ~ $0.58) ↓ 16.6% cheaper ↑ 900% more
#11 Claude Opus 4.7
Anthropic
 $1.161950 (rounded ~ $1.16) ↑ 66.7% more ↑ 1897.9% more
#12 Claude Opus 5
Anthropic
 $1.161950 (rounded ~ $1.16) ↑ 66.7% more ↑ 1897.9% more
#13 Claude Opus 4.8
Anthropic
 $1.161950 (rounded ~ $1.16) ↑ 66.7% more ↑ 1897.9% more
#14 Claude Opus 4.6
Anthropic
 $1.161950 (rounded ~ $1.16) ↑ 66.7% more ↑ 1897.9% more
#15 Gemini 2.5 Pro
Google
 $1.163200 (rounded ~ $1.16) ↑ 66.8% more ↑ 1900% more
#16 GPT-5.6 Sol
OpenAI
 $1.163200 (rounded ~ $1.16) ↑ 66.8% more ↑ 1900% more
#17 Grok 4.3
xAI
 $1.853120 (rounded ~ $1.85) ↑ 165.8% more ↑ 3086.2% more
#18 Gemini 3.1 Pro
Google
 $1.858120 (rounded ~ $1.86) ↑ 166.5% more ↑ 3094.8% more
#19 Claude Fable 5.1
Anthropic
 $2.304850 (rounded ~ $2.30) ↑ 230.6% more ↑ 3862.9% more
#20 Claude Mythos 5.1
Anthropic
 $2.304850 (rounded ~ $2.30) ↑ 230.6% more ↑ 3862.9% more
#21 GPT-5.4
OpenAI
 $2.322650 (rounded ~ $2.32) ↑ 233.2% more ↑ 3893.6% more
#22 GPT-5.4 Thinking
OpenAI
 $2.322650 (rounded ~ $2.32) ↑ 233.2% more ↑ 3893.6% more
#23 Claude Fable 5
Anthropic
 $2.323900 (rounded ~ $2.32) ↑ 233.3% more ↑ 3895.7% more
#24 Claude Mythos 5
Anthropic
 $2.323900 (rounded ~ $2.32) ↑ 233.3% more ↑ 3895.7% more
#25 GPT-5.5
OpenAI
 $4.645300 (rounded ~ $4.65) ↑ 566.3% more ↑ 7887.1% more
#26 GPT-6 Astra
OpenAI
 $9.295600 (rounded ~ $9.30) ↑ 1233.3% more ↑ 15882.8% more
#27 GPT-6 Astra
OpenAI
 $9.295600 (rounded ~ $9.30) ↑ 1233.3% more ↑ 15882.8% more
🏆

Gemini 3.1 Flash Lite
Google

$0.058160 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↓ 91.7%
vs Gemini 3.1 Flash-Lite: Same
🥈

Gemini 3.5 Flash-Lite
Google

$0.069967
vs Claude Sonnet 4.6: ↓ 90%
vs Gemini 3.1 Flash-Lite: ↑ 20.3%
🥉

Gemini 2.5 Flash
Google

$0.069967
vs Claude Sonnet 4.6: ↓ 90%
vs Gemini 3.1 Flash-Lite: ↑ 20.3%
#4

Gemini 3.8 Flash
Google

$0.174293 (rounded ~ $0.17)
vs Claude Sonnet 4.6: ↓ 75%
vs Gemini 3.1 Flash-Lite: ↑ 199.7%
#5

GPT-5.6 Luna
OpenAI

$0.232640 (rounded ~ $0.23)
vs Claude Sonnet 4.6: ↓ 66.6%
vs Gemini 3.1 Flash-Lite: ↑ 300%
#6

Gemini 3.6 Flash
Google

$0.348585 (rounded ~ $0.35)
vs Claude Sonnet 4.6: ↓ 50%
vs Gemini 3.1 Flash-Lite: ↑ 499.4%
#7

Gemini 3.5 Flash
Google

$0.348960 (rounded ~ $0.35)
vs Claude Sonnet 4.6: ↓ 49.9%
vs Gemini 3.1 Flash-Lite: ↑ 500%
#8

Claude Sonnet 5
Anthropic

$0.464780 (rounded ~ $0.46)
vs Claude Sonnet 4.6: ↓ 33.3%
vs Gemini 3.1 Flash-Lite: ↑ 699.1%
#9

Gemini 3.1 Flash
Google

$0.465280 (rounded ~ $0.47)
vs Claude Sonnet 4.6: ↓ 33.3%
vs Gemini 3.1 Flash-Lite: ↑ 700%
#10

GPT-5.6 Terra
OpenAI

$0.581600 (rounded ~ $0.58)
vs Claude Sonnet 4.6: ↓ 16.6%
vs Gemini 3.1 Flash-Lite: ↑ 900%
#11

Claude Opus 4.7
Anthropic

$1.161950 (rounded ~ $1.16)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Flash-Lite: ↑ 1897.9%
#12

Claude Opus 5
Anthropic

$1.161950 (rounded ~ $1.16)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Flash-Lite: ↑ 1897.9%
#13

Claude Opus 4.8
Anthropic

$1.161950 (rounded ~ $1.16)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Flash-Lite: ↑ 1897.9%
#14

Claude Opus 4.6
Anthropic

$1.161950 (rounded ~ $1.16)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Flash-Lite: ↑ 1897.9%
#15

Gemini 2.5 Pro
Google

$1.163200 (rounded ~ $1.16)
vs Claude Sonnet 4.6: ↑ 66.8%
vs Gemini 3.1 Flash-Lite: ↑ 1900%
#16

GPT-5.6 Sol
OpenAI

$1.163200 (rounded ~ $1.16)
vs Claude Sonnet 4.6: ↑ 66.8%
vs Gemini 3.1 Flash-Lite: ↑ 1900%
#17

Grok 4.3
xAI

$1.853120 (rounded ~ $1.85)
vs Claude Sonnet 4.6: ↑ 165.8%
vs Gemini 3.1 Flash-Lite: ↑ 3086.2%
#18

Gemini 3.1 Pro
Google

$1.858120 (rounded ~ $1.86)
vs Claude Sonnet 4.6: ↑ 166.5%
vs Gemini 3.1 Flash-Lite: ↑ 3094.8%
#19

Claude Fable 5.1
Anthropic

$2.304850 (rounded ~ $2.30)
vs Claude Sonnet 4.6: ↑ 230.6%
vs Gemini 3.1 Flash-Lite: ↑ 3862.9%
#20

Claude Mythos 5.1
Anthropic

$2.304850 (rounded ~ $2.30)
vs Claude Sonnet 4.6: ↑ 230.6%
vs Gemini 3.1 Flash-Lite: ↑ 3862.9%
#21

GPT-5.4
OpenAI

$2.322650 (rounded ~ $2.32)
vs Claude Sonnet 4.6: ↑ 233.2%
vs Gemini 3.1 Flash-Lite: ↑ 3893.6%
#22

GPT-5.4 Thinking
OpenAI

$2.322650 (rounded ~ $2.32)
vs Claude Sonnet 4.6: ↑ 233.2%
vs Gemini 3.1 Flash-Lite: ↑ 3893.6%
#23

Claude Fable 5
Anthropic

$2.323900 (rounded ~ $2.32)
vs Claude Sonnet 4.6: ↑ 233.3%
vs Gemini 3.1 Flash-Lite: ↑ 3895.7%
#24

Claude Mythos 5
Anthropic

$2.323900 (rounded ~ $2.32)
vs Claude Sonnet 4.6: ↑ 233.3%
vs Gemini 3.1 Flash-Lite: ↑ 3895.7%
#25

GPT-5.5
OpenAI

$4.645300 (rounded ~ $4.65)
vs Claude Sonnet 4.6: ↑ 566.3%
vs Gemini 3.1 Flash-Lite: ↑ 7887.1%
#26

GPT-6 Astra
OpenAI

$9.295600 (rounded ~ $9.30)
vs Claude Sonnet 4.6: ↑ 1233.3%
vs Gemini 3.1 Flash-Lite: ↑ 15882.8%
#27

GPT-6 Astra
OpenAI

$9.295600 (rounded ~ $9.30)
vs Claude Sonnet 4.6: ↑ 1233.3%
vs Gemini 3.1 Flash-Lite: ↑ 15882.8%
✨ 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.

Choosing the Right Extraction Engine

The choice between Claude Sonnet 4.6 and Gemini 3.1 Flash-Lite for document extraction often comes down to the specific nature of your invoice data and the required reasoning complexity. For engineering teams, this comparison highlights the trade-off between high-fidelity reasoning and high-throughput operational efficiency.

Claude Sonnet 4.6 excels when the extraction task involves complex or ambiguous documents that require nuanced interpretation, such as non-standard contracts or invoices with idiosyncratic formatting. Its structured output capabilities are highly reliable for schemas where strict adherence is required, and its internal reasoning engine allows it to handle multi-step instructions—such as cross-referencing invoice line items with purchase orders—with superior precision. If your pipeline requires deep document understanding rather than just character recognition, Sonnet 4.6 is typically the stronger choice.

Conversely, Gemini 3.1 Flash-Lite is optimized for high-volume, cost-sensitive pipelines where latency is the priority. It shines in standardized environments where the invoice formats are relatively predictable and the primary goal is rapid, bulk ingestion. With its ability to handle massive workloads at lower compute costs, Gemini 3.1 Flash-Lite allows teams to maintain a high-frequency processing cadence without exhausting budget. While it may occasionally require more robust prompt engineering to match the reasoning reliability of Sonnet 4.6 on highly complex documents, its speed and integration with native structured-output frameworks make it the default for production-scale document processing, particularly when handling millions of documents over the long term.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.

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