Claude Sonnet 5.5 Pricing for 15,000-Token RAG Queries

Complete Analysis: 16,000 tokens for Claude Sonnet 5.5
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Sonnet 5.5 model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.006438 (rounded ~ $0.01) Total Cost
16,000 Total Tokens
57.25 seconds Processing Time
280 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
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

$0.006438 Total Cost
$0.003750 Input Cost
$0.002500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
16,000Total Tokens
$0.000402Cost per 1K
2,485,437Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

57.25s Processing Time
300 Tokens/Second
300ms Time to First Token
280 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

$0.006438 (rounded ~ $0.01)
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) $0.010000 Input: $0.007500 (rounded ~ $0.01)
Output: $0.002500
Optimized Cost $0.006438 (rounded ~ $0.01) Input: $0.007500 (rounded ~ $0.01)
Output: $0.002500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.003563 35.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.007500 (rounded ~ $0.01)
  • Output Cost: $0.002500
  • Total Cost: $0.006438 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000402
  • Tokens per dollar: 2,485,437 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: 57.25 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

High-accuracy candidate resume parsing and structured data extraction for ATS integration.

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✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 5.5
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 5.5
🏆 Claude Haiku 5.5
Anthropic
 $0.000663 Best Value ↓ 89.7% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.000663 ↓ 89.7% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.000713 ↓ 88.9% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.000891 ↓ 86.2% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.001244 ↓ 80.7% cheaper
#6 Gemini 2.5 Flash
Google
 $0.001244 ↓ 80.7% cheaper
#7 Mistral Large 3
Mistral AI
 $0.001406 ↓ 78.2% cheaper
#8 Gemini 3.8 Flash
Google
 $0.002484 ↓ 61.4% cheaper
#9 Gemini 3.6 Flash
Google
 $0.002484 ↓ 61.4% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.002672 ↓ 58.5% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.003313 ↓ 48.5% cheaper
#12 Gemini 3.1 Flash
Google
 $0.003563 ↓ 44.7% cheaper
#13 Mistral Large 4
Mistral AI
 $0.003850 ↓ 40.2% cheaper
#14 Claude Sonnet 5
Anthropic
 $0.006625 (rounded ~ $0.01) ↑ 2.9% more
#15 Gemini 4 Argon
Google
 $0.006625 (rounded ~ $0.01) ↑ 2.9% more
#16 GPT-5.3 Codex Spark
OpenAI
 $0.007109 (rounded ~ $0.01) ↑ 10.4% more
#17 GPT-5.3 Instant
OpenAI
 $0.007109 (rounded ~ $0.01) ↑ 10.4% more
#18 GPT-5.6 Terra
OpenAI
 $0.007125 (rounded ~ $0.01) ↑ 10.7% more
#19 Claude Sonnet 4.6
Anthropic
 $0.009938 ↑ 54.4% more
#20 Gemini 2.5 Pro
Google
 $0.010156 ↑ 57.8% more
#21 Grok 4.3
xAI
 $0.010250 ↑ 59.2% more
#22 Grok 4.20 Beta
xAI
 $0.010250 ↑ 59.2% more
#23 Claude Opus 5.5
Anthropic
 $0.012875 (rounded ~ $0.01) ↑ 100% more
#24 GPT-6.1 Sol
OpenAI
 $0.013250 (rounded ~ $0.01) ↑ 105.8% more
#25 GPT-6 Sol
OpenAI
 $0.013250 (rounded ~ $0.01) ↑ 105.8% more
#26 GPT-5.6 Sol
OpenAI
 $0.013250 (rounded ~ $0.01) ↑ 105.8% more
#27 Gemini 3.1 Pro
Google
 $0.014250 (rounded ~ $0.01) ↑ 121.4% more
#28 Claude Opus 4.7
Anthropic
 $0.016563 (rounded ~ $0.02) ↑ 157.3% more
#29 Claude Opus 5
Anthropic
 $0.016563 (rounded ~ $0.02) ↑ 157.3% more
#30 Claude Opus 4.8
Anthropic
 $0.016563 (rounded ~ $0.02) ↑ 157.3% more
#31 Claude Opus 4.6
Anthropic
 $0.016563 (rounded ~ $0.02) ↑ 157.3% more
#32 GPT-5.4
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 176.7% more
#33 GPT-5.4 Thinking
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 176.7% more
#34 GPT-5.5 Instant
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 176.7% more
#35 Claude Fable 5.1
Anthropic
 $0.031719 (rounded ~ $0.03) ↑ 392.7% more
#36 Claude Mythos 5.1
Anthropic
 $0.031719 (rounded ~ $0.03) ↑ 392.7% more
#37 Claude Fable 5
Anthropic
 $0.033125 (rounded ~ $0.03) ↑ 414.6% more
#38 Claude Mythos 5
Anthropic
 $0.033125 (rounded ~ $0.03) ↑ 414.6% more
#39 GPT-5.5
OpenAI
 $0.035625 (rounded ~ $0.04) ↑ 453.4% more
#40 GPT-6 Astra
OpenAI
 $0.066250 (rounded ~ $0.07) ↑ 929.1% more
#41 GPT-5.2 Pro
OpenAI
 $0.085313 (rounded ~ $0.09) ↑ 1225.2% more
#42 GPT-5.2 Pro
OpenAI
 $0.085313 (rounded ~ $0.09) ↑ 1225.2% more
🏆

Claude Haiku 5.5
Anthropic

$0.000663
vs Claude Sonnet 5.5: ↓ 89.7%
🥈

GPT-6 Luna
OpenAI

$0.000663
vs Claude Sonnet 5.5: ↓ 89.7%
🥉

GPT-5.6 Luna
OpenAI

$0.000713
vs Claude Sonnet 5.5: ↓ 88.9%
#4

Gemini 3.1 Flash Lite
Google

$0.000891
vs Claude Sonnet 5.5: ↓ 86.2%
#5

Gemini 3.5 Flash-Lite
Google

$0.001244
vs Claude Sonnet 5.5: ↓ 80.7%
#6

Gemini 2.5 Flash
Google

$0.001244
vs Claude Sonnet 5.5: ↓ 80.7%
#7

Mistral Large 3
Mistral AI

$0.001406
vs Claude Sonnet 5.5: ↓ 78.2%
#8

Gemini 3.8 Flash
Google

$0.002484
vs Claude Sonnet 5.5: ↓ 61.4%
#9

Gemini 3.6 Flash
Google

$0.002484
vs Claude Sonnet 5.5: ↓ 61.4%
#10

GPT-5.4 mini
OpenAI

$0.002672
vs Claude Sonnet 5.5: ↓ 58.5%
#11

Claude Haiku 4.5
Anthropic

$0.003313
vs Claude Sonnet 5.5: ↓ 48.5%
#12

Gemini 3.1 Flash
Google

$0.003563
vs Claude Sonnet 5.5: ↓ 44.7%
#13

Mistral Large 4
Mistral AI

$0.003850
vs Claude Sonnet 5.5: ↓ 40.2%
#14

Claude Sonnet 5
Anthropic

$0.006625 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 2.9%
#15

Gemini 4 Argon
Google

$0.006625 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 2.9%
#16

GPT-5.3 Codex Spark
OpenAI

$0.007109 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 10.4%
#17

GPT-5.3 Instant
OpenAI

$0.007109 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 10.4%
#18

GPT-5.6 Terra
OpenAI

$0.007125 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 10.7%
#19

Claude Sonnet 4.6
Anthropic

$0.009938
vs Claude Sonnet 5.5: ↑ 54.4%
#20

Gemini 2.5 Pro
Google

$0.010156
vs Claude Sonnet 5.5: ↑ 57.8%
#21

Grok 4.3
xAI

$0.010250
vs Claude Sonnet 5.5: ↑ 59.2%
#22

Grok 4.20 Beta
xAI

$0.010250
vs Claude Sonnet 5.5: ↑ 59.2%
#23

Claude Opus 5.5
Anthropic

$0.012875 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 100%
#24

GPT-6.1 Sol
OpenAI

$0.013250 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 105.8%
#25

GPT-6 Sol
OpenAI

$0.013250 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 105.8%
#26

GPT-5.6 Sol
OpenAI

$0.013250 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 105.8%
#27

Gemini 3.1 Pro
Google

$0.014250 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 121.4%
#28

Claude Opus 4.7
Anthropic

$0.016563 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↑ 157.3%
#29

Claude Opus 5
Anthropic

$0.016563 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↑ 157.3%
#30

Claude Opus 4.8
Anthropic

$0.016563 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↑ 157.3%
#31

Claude Opus 4.6
Anthropic

$0.016563 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↑ 157.3%
#32

GPT-5.4
OpenAI

$0.017813 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↑ 176.7%
#33

GPT-5.4 Thinking
OpenAI

$0.017813 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↑ 176.7%
#34

GPT-5.5 Instant
OpenAI

$0.017813 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↑ 176.7%
#35

Claude Fable 5.1
Anthropic

$0.031719 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↑ 392.7%
#36

Claude Mythos 5.1
Anthropic

$0.031719 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↑ 392.7%
#37

Claude Fable 5
Anthropic

$0.033125 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↑ 414.6%
#38

Claude Mythos 5
Anthropic

$0.033125 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↑ 414.6%
#39

GPT-5.5
OpenAI

$0.035625 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↑ 453.4%
#40

GPT-6 Astra
OpenAI

$0.066250 (rounded ~ $0.07)
vs Claude Sonnet 5.5: ↑ 929.1%
#41

GPT-5.2 Pro
OpenAI

$0.085313 (rounded ~ $0.09)
vs Claude Sonnet 5.5: ↑ 1225.2%
#42

GPT-5.2 Pro
OpenAI

$0.085313 (rounded ~ $0.09)
vs Claude Sonnet 5.5: ↑ 1225.2%
✨ 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.

Recruiters and talent acquisition teams are increasingly turning to retrieval-augmented generation to automate the initial screening of high-volume candidate pipelines. For a RAG-based chatbot processing resumes, job descriptions, and interview notes, Claude Sonnet 5.5 offers a significant advantage through its advanced reasoning and thinking capabilities. When parsing long-form resumes, especially those with non-linear career trajectories, the model’s ability to interpret nuance is superior to standard summarization tools. For 15,000-token input batches, it provides high-fidelity extraction of key qualifications, soft skills, and technical competencies, reducing the manual review burden for your hiring staff.

Beyond simple extraction, this model excels in structuring candidate data for Applicant Tracking System integration. Its native support for tool use allows it to trigger secondary verification processes, such as cross-referencing candidate history with industry-specific certifications or public repositories. For mid-market companies scaling their recruitment technology, this model provides a balance of high-level reasoning and cost-efficient throughput. The ability to handle complex, multi-step instructions ensures that your AI chatbot remains consistent when applying diverse hiring rubrics across different roles. Choosing this model is a strategic decision for teams that prioritize accuracy in candidate matching over raw speed, particularly when building long-term talent databases that rely on deep semantic understanding of candidate profiles to inform future sourcing strategies.

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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