Claude Sonnet 5.5 Pricing for Legal E-Discovery at 500K Tokens

Complete Analysis: 501,500 tokens for Claude Sonnet 5.5
⚡ 60% Cached

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Sonnet 5.5 model with 60% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.111250 (rounded ~ $0.11) Total Cost
501,500 Total Tokens
28 minutes, 42.00 seconds Processing Time
291 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Claude Sonnet 5.5

AnthropicMax Context: 1,000,000 tokens
$2 / $10 per 1M tokens
60%
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

$0.111250 Total Cost
$0.100000 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
501,500Total Tokens
$0.000222Cost per 1K
4,507,865Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

28m 41s Processing Time
300 Tokens/Second
300ms Time to First Token
291 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

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

Claude Sonnet 5.5 Anthropic 1000000

$0.111250 (rounded ~ $0.11)
Total Cost
⚡ 60% 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) $0.253750 (rounded ~ $0.25) Input: $0.250000
Output: $0.003750
Optimized Cost $0.111250 (rounded ~ $0.11) Input: $0.250000
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.142500 (rounded ~ $0.14) 56.2% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.250000
  • Output Cost: $0.003750
  • Total Cost: $0.111250 (rounded ~ $0.11)
  • Cost per 1K tokens: $0.000222
  • Tokens per dollar: 4,507,865 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 300ms time to first token:

  • Processing Time: 28 minutes, 42.00 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 291 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complex legal discovery and summarization tasks requiring high factual accuracy over long document spans.

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✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 5.5
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 5.5
🏆 GPT-5.6 Luna
OpenAI
 $0.011950 (rounded ~ $0.01) Best Value ↓ 89.3% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.014938 (rounded ~ $0.01) ↓ 86.6% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.018188 (rounded ~ $0.02) ↓ 83.7% cheaper
#4 Gemini 2.5 Flash
Google
 $0.018188 (rounded ~ $0.02) ↓ 83.7% cheaper
#5 GPT-6 Luna
OpenAI
 $0.023563 (rounded ~ $0.02) ↓ 78.8% cheaper
#6 Gemini 3.8 Flash
Google
 $0.044531 (rounded ~ $0.04) ↓ 60% cheaper
#7 Gemini 3.6 Flash
Google
 $0.044531 (rounded ~ $0.04) ↓ 60% cheaper
#8 Claude Haiku 5.5
Anthropic
 $0.059375 ↓ 46.6% cheaper
#9 Mistral Large 4
Mistral AI
 $0.079768 ↓ 28.3% cheaper
#10 Claude Sonnet 5
Anthropic
 $0.118750 (rounded ~ $0.12) ↑ 6.7% more
#11 Gemini 4 Argon
Google
 $0.118750 (rounded ~ $0.12) ↑ 6.7% more
#12 Gemini 3.1 Flash
Google
 $0.119500 ↑ 7.4% more
#13 GPT-5.6 Terra
OpenAI
 $0.119500 ↑ 7.4% more
#14 Claude Sonnet 4.6
Anthropic
 $0.178125 (rounded ~ $0.18) ↑ 60.1% more
#15 Claude Opus 5.5
Anthropic
 $0.222500 (rounded ~ $0.22) ↑ 100% more
#16 GPT-5.6 Sol
OpenAI
 $0.237500 (rounded ~ $0.24) ↑ 113.5% more
#17 Claude Opus 4.7
Anthropic
 $0.296875 (rounded ~ $0.30) ↑ 166.9% more
#18 Claude Opus 5
Anthropic
 $0.296875 (rounded ~ $0.30) ↑ 166.9% more
#19 Claude Opus 4.8
Anthropic
 $0.296875 (rounded ~ $0.30) ↑ 166.9% more
#20 Claude Opus 4.6
Anthropic
 $0.296875 (rounded ~ $0.30) ↑ 166.9% more
#21 Gemini 2.5 Pro
Google
 $0.298750 (rounded ~ $0.30) ↑ 168.5% more
#22 Grok 4.3
xAI
 $0.466000 (rounded ~ $0.47) ↑ 318.9% more
#23 Grok 4.20 Beta
xAI
 $0.466000 (rounded ~ $0.47) ↑ 318.9% more
#24 GPT-6.1 Sol
OpenAI
 $0.471250 (rounded ~ $0.47) ↑ 323.6% more
#25 GPT-6 Sol
OpenAI
 $0.471250 (rounded ~ $0.47) ↑ 323.6% more
#26 Gemini 3.1 Pro
Google
 $0.473500 (rounded ~ $0.47) ↑ 325.6% more
#27 Claude Fable 5.1
Anthropic
 $0.537500 (rounded ~ $0.54) ↑ 383.1% more
#28 Claude Mythos 5.1
Anthropic
 $0.537500 (rounded ~ $0.54) ↑ 383.1% more
#29 GPT-5.4
OpenAI
 $0.591875 (rounded ~ $0.59) ↑ 432% more
#30 GPT-5.4 Thinking
OpenAI
 $0.591875 (rounded ~ $0.59) ↑ 432% more
#31 Claude Fable 5
Anthropic
 $0.593750 (rounded ~ $0.59) ↑ 433.7% more
#32 Claude Mythos 5
Anthropic
 $0.593750 (rounded ~ $0.59) ↑ 433.7% more
#33 GPT-5.5
OpenAI
 $1.183750 (rounded ~ $1.18) ↑ 964% more
#34 GPT-6 Astra
OpenAI
 $2.375000 (rounded ~ $2.38) ↑ 2034.8% more
#35 GPT-6 Astra
OpenAI
 $2.375000 (rounded ~ $2.38) ↑ 2034.8% more
🏆

GPT-5.6 Luna
OpenAI

$0.011950 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 89.3%
🥈

Gemini 3.1 Flash Lite
Google

$0.014938 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 86.6%
🥉

Gemini 3.5 Flash-Lite
Google

$0.018188 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↓ 83.7%
#4

Gemini 2.5 Flash
Google

$0.018188 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↓ 83.7%
#5

GPT-6 Luna
OpenAI

$0.023563 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↓ 78.8%
#6

Gemini 3.8 Flash
Google

$0.044531 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↓ 60%
#7

Gemini 3.6 Flash
Google

$0.044531 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↓ 60%
#8

Claude Haiku 5.5
Anthropic

$0.059375
vs Claude Sonnet 5.5: ↓ 46.6%
#9

Mistral Large 4
Mistral AI

$0.079768
vs Claude Sonnet 5.5: ↓ 28.3%
#10

Claude Sonnet 5
Anthropic

$0.118750 (rounded ~ $0.12)
vs Claude Sonnet 5.5: ↑ 6.7%
#11

Gemini 4 Argon
Google

$0.118750 (rounded ~ $0.12)
vs Claude Sonnet 5.5: ↑ 6.7%
#12

Gemini 3.1 Flash
Google

$0.119500
vs Claude Sonnet 5.5: ↑ 7.4%
#13

GPT-5.6 Terra
OpenAI

$0.119500
vs Claude Sonnet 5.5: ↑ 7.4%
#14

Claude Sonnet 4.6
Anthropic

$0.178125 (rounded ~ $0.18)
vs Claude Sonnet 5.5: ↑ 60.1%
#15

Claude Opus 5.5
Anthropic

$0.222500 (rounded ~ $0.22)
vs Claude Sonnet 5.5: ↑ 100%
#16

GPT-5.6 Sol
OpenAI

$0.237500 (rounded ~ $0.24)
vs Claude Sonnet 5.5: ↑ 113.5%
#17

Claude Opus 4.7
Anthropic

$0.296875 (rounded ~ $0.30)
vs Claude Sonnet 5.5: ↑ 166.9%
#18

Claude Opus 5
Anthropic

$0.296875 (rounded ~ $0.30)
vs Claude Sonnet 5.5: ↑ 166.9%
#19

Claude Opus 4.8
Anthropic

$0.296875 (rounded ~ $0.30)
vs Claude Sonnet 5.5: ↑ 166.9%
#20

Claude Opus 4.6
Anthropic

$0.296875 (rounded ~ $0.30)
vs Claude Sonnet 5.5: ↑ 166.9%
#21

Gemini 2.5 Pro
Google

$0.298750 (rounded ~ $0.30)
vs Claude Sonnet 5.5: ↑ 168.5%
#22

Grok 4.3
xAI

$0.466000 (rounded ~ $0.47)
vs Claude Sonnet 5.5: ↑ 318.9%
#23

Grok 4.20 Beta
xAI

$0.466000 (rounded ~ $0.47)
vs Claude Sonnet 5.5: ↑ 318.9%
#24

GPT-6.1 Sol
OpenAI

$0.471250 (rounded ~ $0.47)
vs Claude Sonnet 5.5: ↑ 323.6%
#25

GPT-6 Sol
OpenAI

$0.471250 (rounded ~ $0.47)
vs Claude Sonnet 5.5: ↑ 323.6%
#26

Gemini 3.1 Pro
Google

$0.473500 (rounded ~ $0.47)
vs Claude Sonnet 5.5: ↑ 325.6%
#27

Claude Fable 5.1
Anthropic

$0.537500 (rounded ~ $0.54)
vs Claude Sonnet 5.5: ↑ 383.1%
#28

Claude Mythos 5.1
Anthropic

$0.537500 (rounded ~ $0.54)
vs Claude Sonnet 5.5: ↑ 383.1%
#29

GPT-5.4
OpenAI

$0.591875 (rounded ~ $0.59)
vs Claude Sonnet 5.5: ↑ 432%
#30

GPT-5.4 Thinking
OpenAI

$0.591875 (rounded ~ $0.59)
vs Claude Sonnet 5.5: ↑ 432%
#31

Claude Fable 5
Anthropic

$0.593750 (rounded ~ $0.59)
vs Claude Sonnet 5.5: ↑ 433.7%
#32

Claude Mythos 5
Anthropic

$0.593750 (rounded ~ $0.59)
vs Claude Sonnet 5.5: ↑ 433.7%
#33

GPT-5.5
OpenAI

$1.183750 (rounded ~ $1.18)
vs Claude Sonnet 5.5: ↑ 964%
#34

GPT-6 Astra
OpenAI

$2.375000 (rounded ~ $2.38)
vs Claude Sonnet 5.5: ↑ 2034.8%
#35

GPT-6 Astra
OpenAI

$2.375000 (rounded ~ $2.38)
vs Claude Sonnet 5.5: ↑ 2034.8%
✨ 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.

For legal tech teams managing large-scale e-discovery, the ability to process massive document sets while maintaining high accuracy is critical. Claude Sonnet 5.5 offers a robust balance for summarization pipelines, particularly when dealing with long-form depositions or voluminous disclosure packages. The model is tuned to handle dense legal language without losing track of nuanced clauses, making it a reliable choice for summarizing hundreds of pages into actionable insights.

When scaling to 500K-token inputs, the primary consideration for legal engineers is the depth of the context window and the ability to maintain consistency across the entire retrieval chain. Unlike smaller models that might struggle with hallucinating details in the middle of a lengthy contract or witness statement, this architecture demonstrates strong retention of specific facts. This reliability reduces the need for extensive post-summarization verification, which is often a significant bottleneck in legal operations.

Beyond raw performance, the integration of long-context capabilities allows for more streamlined RAG architectures. Instead of breaking down PDFs into smaller, fragmented chunks—which risks losing cross-document context—legal teams can process entire case files in a single pass. This improves overall workflow efficiency and ensures that the final summaries provided to attorneys reflect the complete narrative of the evidence. For teams managing mid-market workloads, this model provides the necessary precision to handle sensitive compliance tasks while maintaining a predictable performance profile for production environments.

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 5.5 currently costs $2.00 / $10.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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