Claude Sonnet 5.5 Pricing: Cost per 50K-Token Code Review

Complete Analysis: 51,500 tokens for Claude Sonnet 5.5
⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Sonnet 5.5 model with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.019250 Total Cost
51,500 Total Tokens
2 minutes, 55.28 seconds Processing Time
294 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
40%
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

$0.019250 Total Cost
$0.015000 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
51,500Total Tokens
$0.000374Cost per 1K
2,675,325Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

2m 55s Processing Time
300 Tokens/Second
300ms Time to First Token
294 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

$0.019250
Total Cost
⚡ 40% 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) $0.028750 (rounded ~ $0.03) Input: $0.025000 (rounded ~ $0.03)
Output: $0.003750
Optimized Cost $0.019250 Input: $0.025000 (rounded ~ $0.03)
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.009500 33.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.025000 (rounded ~ $0.03)
  • Output Cost: $0.003750
  • Total Cost: $0.019250
  • Cost per 1K tokens: $0.000374
  • Tokens per dollar: 2,675,325 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: 2 minutes, 55.28 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 294 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-throughput code review pipelines requiring balanced reasoning and speed.

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✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 5.5
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 5.5
🏆 Claude Haiku 5.5
Anthropic
 $0.001975 Best Value ↓ 89.7% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.001975 ↓ 89.7% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.002050 ↓ 89.4% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.002563 ↓ 86.7% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.003338 ↓ 82.7% cheaper
#6 Gemini 2.5 Flash
Google
 $0.003338 ↓ 82.7% cheaper
#7 Mistral Large 3
Mistral AI
 $0.004563 ↓ 76.3% cheaper
#8 Gemini 3.8 Flash
Google
 $0.007406 (rounded ~ $0.01) ↓ 61.5% cheaper
#9 Gemini 3.6 Flash
Google
 $0.007406 (rounded ~ $0.01) ↓ 61.5% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.007688 (rounded ~ $0.01) ↓ 60.1% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.009875 ↓ 48.7% cheaper
#12 Gemini 3.1 Flash
Google
 $0.010250 ↓ 46.8% cheaper
#13 Mistral Large 4
Mistral AI
 $0.012448 (rounded ~ $0.01) ↓ 35.3% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.019250 Same price
#15 GPT-5.3 Instant
OpenAI
 $0.019250 Same price
#16 Claude Sonnet 5
Anthropic
 $0.019750 ↑ 2.6% more
#17 Gemini 4 Argon
Google
 $0.019750 ↑ 2.6% more
#18 GPT-5.6 Terra
OpenAI
 $0.020500 ↑ 6.5% more
#19 Gemini 2.5 Pro
Google
 $0.027500 (rounded ~ $0.03) ↑ 42.9% more
#20 Claude Sonnet 4.6
Anthropic
 $0.029625 ↑ 53.9% more
#21 Grok 4.3
xAI
 $0.035000 (rounded ~ $0.04) ↑ 81.8% more
#22 Grok 4.20 Beta
xAI
 $0.035000 (rounded ~ $0.04) ↑ 81.8% more
#23 Claude Opus 5.5
Anthropic
 $0.038500 (rounded ~ $0.04) ↑ 100% more
#24 GPT-6.1 Sol
OpenAI
 $0.039500 ↑ 105.2% more
#25 GPT-6 Sol
OpenAI
 $0.039500 ↑ 105.2% more
#26 GPT-5.6 Sol
OpenAI
 $0.039500 ↑ 105.2% more
#27 Gemini 3.1 Pro
Google
 $0.041000 (rounded ~ $0.04) ↑ 113% more
#28 Claude Opus 4.7
Anthropic
 $0.049375 ↑ 156.5% more
#29 Claude Opus 5
Anthropic
 $0.049375 ↑ 156.5% more
#30 Claude Opus 4.8
Anthropic
 $0.049375 ↑ 156.5% more
#31 Claude Opus 4.6
Anthropic
 $0.049375 ↑ 156.5% more
#32 GPT-5.4
OpenAI
 $0.051250 (rounded ~ $0.05) ↑ 166.2% more
#33 GPT-5.4 Thinking
OpenAI
 $0.051250 (rounded ~ $0.05) ↑ 166.2% more
#34 GPT-5.5 Instant
OpenAI
 $0.051250 (rounded ~ $0.05) ↑ 166.2% more
#35 Claude Fable 5.1
Anthropic
 $0.095000 (rounded ~ $0.10) ↑ 393.5% more
#36 Claude Mythos 5.1
Anthropic
 $0.095000 (rounded ~ $0.10) ↑ 393.5% more
#37 Claude Fable 5
Anthropic
 $0.098750 (rounded ~ $0.10) ↑ 413% more
#38 Claude Mythos 5
Anthropic
 $0.098750 (rounded ~ $0.10) ↑ 413% more
#39 GPT-5.5
OpenAI
 $0.102500 (rounded ~ $0.10) ↑ 432.5% more
#40 GPT-6 Astra
OpenAI
 $0.197500 (rounded ~ $0.20) ↑ 926% more
#41 GPT-5.2 Pro
OpenAI
 $0.231000 (rounded ~ $0.23) ↑ 1100% more
#42 GPT-5.2 Pro
OpenAI
 $0.231000 (rounded ~ $0.23) ↑ 1100% more
🏆

Claude Haiku 5.5
Anthropic

$0.001975
vs Claude Sonnet 5.5: ↓ 89.7%
🥈

GPT-6 Luna
OpenAI

$0.001975
vs Claude Sonnet 5.5: ↓ 89.7%
🥉

GPT-5.6 Luna
OpenAI

$0.002050
vs Claude Sonnet 5.5: ↓ 89.4%
#4

Gemini 3.1 Flash Lite
Google

$0.002563
vs Claude Sonnet 5.5: ↓ 86.7%
#5

Gemini 3.5 Flash-Lite
Google

$0.003338
vs Claude Sonnet 5.5: ↓ 82.7%
#6

Gemini 2.5 Flash
Google

$0.003338
vs Claude Sonnet 5.5: ↓ 82.7%
#7

Mistral Large 3
Mistral AI

$0.004563
vs Claude Sonnet 5.5: ↓ 76.3%
#8

Gemini 3.8 Flash
Google

$0.007406 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 61.5%
#9

Gemini 3.6 Flash
Google

$0.007406 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 61.5%
#10

GPT-5.4 mini
OpenAI

$0.007688 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 60.1%
#11

Claude Haiku 4.5
Anthropic

$0.009875
vs Claude Sonnet 5.5: ↓ 48.7%
#12

Gemini 3.1 Flash
Google

$0.010250
vs Claude Sonnet 5.5: ↓ 46.8%
#13

Mistral Large 4
Mistral AI

$0.012448 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 35.3%
#14

GPT-5.3 Codex Spark
OpenAI

$0.019250
vs Claude Sonnet 5.5: Same
#15

GPT-5.3 Instant
OpenAI

$0.019250
vs Claude Sonnet 5.5: Same
#16

Claude Sonnet 5
Anthropic

$0.019750
vs Claude Sonnet 5.5: ↑ 2.6%
#17

Gemini 4 Argon
Google

$0.019750
vs Claude Sonnet 5.5: ↑ 2.6%
#18

GPT-5.6 Terra
OpenAI

$0.020500
vs Claude Sonnet 5.5: ↑ 6.5%
#19

Gemini 2.5 Pro
Google

$0.027500 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↑ 42.9%
#20

Claude Sonnet 4.6
Anthropic

$0.029625
vs Claude Sonnet 5.5: ↑ 53.9%
#21

Grok 4.3
xAI

$0.035000 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↑ 81.8%
#22

Grok 4.20 Beta
xAI

$0.035000 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↑ 81.8%
#23

Claude Opus 5.5
Anthropic

$0.038500 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↑ 100%
#24

GPT-6.1 Sol
OpenAI

$0.039500
vs Claude Sonnet 5.5: ↑ 105.2%
#25

GPT-6 Sol
OpenAI

$0.039500
vs Claude Sonnet 5.5: ↑ 105.2%
#26

GPT-5.6 Sol
OpenAI

$0.039500
vs Claude Sonnet 5.5: ↑ 105.2%
#27

Gemini 3.1 Pro
Google

$0.041000 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↑ 113%
#28

Claude Opus 4.7
Anthropic

$0.049375
vs Claude Sonnet 5.5: ↑ 156.5%
#29

Claude Opus 5
Anthropic

$0.049375
vs Claude Sonnet 5.5: ↑ 156.5%
#30

Claude Opus 4.8
Anthropic

$0.049375
vs Claude Sonnet 5.5: ↑ 156.5%
#31

Claude Opus 4.6
Anthropic

$0.049375
vs Claude Sonnet 5.5: ↑ 156.5%
#32

GPT-5.4
OpenAI

$0.051250 (rounded ~ $0.05)
vs Claude Sonnet 5.5: ↑ 166.2%
#33

GPT-5.4 Thinking
OpenAI

$0.051250 (rounded ~ $0.05)
vs Claude Sonnet 5.5: ↑ 166.2%
#34

GPT-5.5 Instant
OpenAI

$0.051250 (rounded ~ $0.05)
vs Claude Sonnet 5.5: ↑ 166.2%
#35

Claude Fable 5.1
Anthropic

$0.095000 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 393.5%
#36

Claude Mythos 5.1
Anthropic

$0.095000 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 393.5%
#37

Claude Fable 5
Anthropic

$0.098750 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 413%
#38

Claude Mythos 5
Anthropic

$0.098750 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 413%
#39

GPT-5.5
OpenAI

$0.102500 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 432.5%
#40

GPT-6 Astra
OpenAI

$0.197500 (rounded ~ $0.20)
vs Claude Sonnet 5.5: ↑ 926%
#41

GPT-5.2 Pro
OpenAI

$0.231000 (rounded ~ $0.23)
vs Claude Sonnet 5.5: ↑ 1100%
#42

GPT-5.2 Pro
OpenAI

$0.231000 (rounded ~ $0.23)
vs Claude Sonnet 5.5: ↑ 1100%
✨ 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.

Optimizing Code Review Pipelines

For SaaS teams handling frequent pull requests, the efficiency of your code review assistant is a critical performance and cost driver. Claude Sonnet 5.5 has emerged as a preferred tool for this workload due to its balance of reasoning capability and latency. By managing diffs in the 50K-token range, development teams can balance deep analysis of complex logic with the need for rapid feedback cycles in CI/CD pipelines.

When implementing an automated code review agent, the choice of model directly influences your iterative speed. Claude Sonnet 5.5 excels at identifying architectural patterns and subtle bugs that lighter models might miss. Its ability to maintain coherence across large codebases allows for a more comprehensive review of refactoring changes, which is where traditional linters often fail. Teams scaling to tens of thousands of requests per month should focus on maintaining a low-latency feedback loop, as the time-to-review directly impacts developer velocity.

Consider the trade-offs between model intelligence and inference speed when architecting your pipeline. While some workflows might benefit from larger models, Sonnet 5.5 provides a refined sweet spot for high-volume technical tasks. Efficient use of context caching can further reduce the overhead of repeatedly processing common boilerplate code, allowing your agent to focus its processing power on the unique business logic within each pull request. This approach ensures your review assistant remains an asset rather than a bottleneck in the deployment lifecycle.

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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