Per-Request Cost: 10,000-Token Code Suggestions with Claude Sonnet 4.6

Complete Analysis: 10,500 tokens for Claude Sonnet 4.6
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Sonnet 4.6 model with 50% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.024000 (rounded ~ $0.02) Total Cost
10,500 Total Tokens
23.98 seconds Processing Time
441 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

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

$0.024000 Total Cost
$0.015000 Input Cost
$0.007500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
10,500Total Tokens
$0.002286Cost per 1K
437,500Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

23.98s Processing Time
450 Tokens/Second
200ms Time to First Token
441 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

Claude Sonnet 4.6 Anthropic 1000000

$0.024000 (rounded ~ $0.02)
Total Cost
⚡ 50% Cached
👁️
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) $0.037500 (rounded ~ $0.04) Input: $0.030000
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.024000 (rounded ~ $0.02) Input: $0.030000
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.013500 (rounded ~ $0.01) 36.0% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.030000
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.024000 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.002286
  • Tokens per dollar: 437,500 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: 23.98 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

Balanced coding assistant model that provides high-qualitycontext-aware suggestions with low latency for active development.

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✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 500
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6
🏆 DeepSeek V4 Flash
DeepSeek
 $0.000525 Best Value ↓ 97.8% cheaper
🥈 Mistral Small 3
Mistral AI
 $0.000700 ↓ 97.1% cheaper
🥉 Voxtral Small 24B
Mistral AI
 $0.000700 ↓ 97.1% cheaper
#4 Devstral Small 2
Mistral AI
 $0.000700 ↓ 97.1% cheaper
#5 Ministral 3 (14B)
Mistral AI
 $0.001200 ↓ 95% cheaper
#6 Grok Code Fast 1
xAI
 $0.001850 ↓ 92.3% cheaper
#7 Nemotron 3 Super
Mistral AI
 $0.002060 ↓ 91.4% cheaper
#8 Gemini 3.1 Flash Lite
Google
 $0.002125 ↓ 91.1% cheaper
#9 Devstral 2
Mistral AI
 $0.002650 ↓ 89% cheaper
#10 DeepSeek V4 Pro
DeepSeek
 $0.002828 ↓ 88.2% cheaper
#11 Gemini 2.5 Flash
Google
 $0.002900 ↓ 87.9% cheaper
#12 Mistral Large 3
Mistral AI
 $0.003500 ↓ 85.4% cheaper
#13 Gemini 3.1 Flash
Google
 $0.004250 ↓ 82.3% cheaper
#14 Kimi K2.5
Moonshot AI
 $0.005010 (rounded ~ $0.01) ↓ 79.1% cheaper
#15 GPT-5.4 mini
OpenAI
 $0.006375 (rounded ~ $0.01) ↓ 73.4% cheaper
#16 o4-mini Deep Research
OpenAI
 $0.007500 (rounded ~ $0.01) ↓ 68.8% cheaper
#17 Kimi K2.6
Moonshot AI
 $0.007558 (rounded ~ $0.01) ↓ 68.5% cheaper
#18 Claude Haiku 4.5
Anthropic
 $0.008000 (rounded ~ $0.01) ↓ 66.7% cheaper
#19 Grok 4.3
xAI
 $0.008125 (rounded ~ $0.01) ↓ 66.1% cheaper
#20 o4-mini
OpenAI
 $0.008250 (rounded ~ $0.01) ↓ 65.6% cheaper
#21 Gemini 2.5 Pro
Google
 $0.011875 (rounded ~ $0.01) ↓ 50.5% cheaper
#22 Gemini 3.5 Flash
Google
 $0.012750 (rounded ~ $0.01) ↓ 46.9% cheaper
#23 Magistral Medium
Mistral AI
 $0.013500 (rounded ~ $0.01) ↓ 43.8% cheaper
#24 Grok 4.20 Beta
xAI
 $0.014000 (rounded ~ $0.01) ↓ 41.7% cheaper
#25 GPT-5.3 Codex Spark
OpenAI
 $0.016625 (rounded ~ $0.02) ↓ 30.7% cheaper
#26 GPT-5.3 Instant
OpenAI
 $0.016625 (rounded ~ $0.02) ↓ 30.7% cheaper
#27 Gemini 3.1 Pro
Google
 $0.017000 (rounded ~ $0.02) ↓ 29.2% cheaper
#28 GPT-5.4
OpenAI
 $0.021250 (rounded ~ $0.02) ↓ 11.5% cheaper
#29 GPT-5.4 Thinking
OpenAI
 $0.021250 (rounded ~ $0.02) ↓ 11.5% cheaper
#30 Claude Opus 4.7
Anthropic
 $0.040000 ↑ 66.7% more
#31 Claude Opus 4.8
Anthropic
 $0.040000 ↑ 66.7% more
#32 Claude Opus 4.6
Anthropic
 $0.040000 ↑ 66.7% more
#33 GPT-5.5
OpenAI
 $0.042500 (rounded ~ $0.04) ↑ 77.1% more
#34 GPT-5.5 Instant
OpenAI
 $0.042500 (rounded ~ $0.04) ↑ 77.1% more
#35 o3 Deep Research
OpenAI
 $0.075000 (rounded ~ $0.08) ↑ 212.5% more
#36 o3 Pro
OpenAI
 $0.150000 ↑ 525% more
#37 GPT-5.2 Pro
OpenAI
 $0.199500 ↑ 731.3% more
#38 GPT-5.2 Pro
OpenAI
 $0.199500 ↑ 731.3% more
🏆

DeepSeek V4 Flash
DeepSeek

$0.000525
vs Claude Sonnet 4.6: ↓ 97.8%
🥈

Mistral Small 3
Mistral AI

$0.000700
vs Claude Sonnet 4.6: ↓ 97.1%
🥉

Voxtral Small 24B
Mistral AI

$0.000700
vs Claude Sonnet 4.6: ↓ 97.1%
#4

Devstral Small 2
Mistral AI

$0.000700
vs Claude Sonnet 4.6: ↓ 97.1%
#5

Ministral 3 (14B)
Mistral AI

$0.001200
vs Claude Sonnet 4.6: ↓ 95%
#6

Grok Code Fast 1
xAI

$0.001850
vs Claude Sonnet 4.6: ↓ 92.3%
#7

Nemotron 3 Super
Mistral AI

$0.002060
vs Claude Sonnet 4.6: ↓ 91.4%
#8

Gemini 3.1 Flash Lite
Google

$0.002125
vs Claude Sonnet 4.6: ↓ 91.1%
#9

Devstral 2
Mistral AI

$0.002650
vs Claude Sonnet 4.6: ↓ 89%
#10

DeepSeek V4 Pro
DeepSeek

$0.002828
vs Claude Sonnet 4.6: ↓ 88.2%
#11

Gemini 2.5 Flash
Google

$0.002900
vs Claude Sonnet 4.6: ↓ 87.9%
#12

Mistral Large 3
Mistral AI

$0.003500
vs Claude Sonnet 4.6: ↓ 85.4%
#13

Gemini 3.1 Flash
Google

$0.004250
vs Claude Sonnet 4.6: ↓ 82.3%
#14

Kimi K2.5
Moonshot AI

$0.005010 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 79.1%
#15

GPT-5.4 mini
OpenAI

$0.006375 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 73.4%
#16

o4-mini Deep Research
OpenAI

$0.007500 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 68.8%
#17

Kimi K2.6
Moonshot AI

$0.007558 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 68.5%
#18

Claude Haiku 4.5
Anthropic

$0.008000 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 66.7%
#19

Grok 4.3
xAI

$0.008125 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 66.1%
#20

o4-mini
OpenAI

$0.008250 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 65.6%
#21

Gemini 2.5 Pro
Google

$0.011875 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 50.5%
#22

Gemini 3.5 Flash
Google

$0.012750 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 46.9%
#23

Magistral Medium
Mistral AI

$0.013500 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 43.8%
#24

Grok 4.20 Beta
xAI

$0.014000 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 41.7%
#25

GPT-5.3 Codex Spark
OpenAI

$0.016625 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 30.7%
#26

GPT-5.3 Instant
OpenAI

$0.016625 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 30.7%
#27

Gemini 3.1 Pro
Google

$0.017000 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 29.2%
#28

GPT-5.4
OpenAI

$0.021250 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 11.5%
#29

GPT-5.4 Thinking
OpenAI

$0.021250 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 11.5%
#30

Claude Opus 4.7
Anthropic

$0.040000
vs Claude Sonnet 4.6: ↑ 66.7%
#31

Claude Opus 4.8
Anthropic

$0.040000
vs Claude Sonnet 4.6: ↑ 66.7%
#32

Claude Opus 4.6
Anthropic

$0.040000
vs Claude Sonnet 4.6: ↑ 66.7%
#33

GPT-5.5
OpenAI

$0.042500 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↑ 77.1%
#34

GPT-5.5 Instant
OpenAI

$0.042500 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↑ 77.1%
#35

o3 Deep Research
OpenAI

$0.075000 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 212.5%
#36

o3 Pro
OpenAI

$0.150000
vs Claude Sonnet 4.6: ↑ 525%
#37

GPT-5.2 Pro
OpenAI

$0.199500
vs Claude Sonnet 4.6: ↑ 731.3%
#38

GPT-5.2 Pro
OpenAI

$0.199500
vs Claude Sonnet 4.6: ↑ 731.3%
✨ 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 IDE Performance

For SaaS product teams building inline code generation features, selecting the right model requires balancing reasoning depth against the latency demands of a real-time developer environment. Claude Sonnet 4.6 has emerged as a preferred standard for these workflows, particularly where the model needs to maintain context across multi-file refactors or complex feature additions without hallucinating framework dependencies.

When your developers trigger suggestions in the IDE, they need a model that can process the current file’s state, imported dependencies, and relevant context from the wider project structure efficiently. Sonnet 4.6 excels here by providing near-Opus-level logic while remaining responsive enough for active development cycles. Its ability to handle large context windows means your IDE can feed it significant portions of a codebase without aggressive truncation, ensuring the suggestions it returns are coherent, syntactically accurate, and contextually aware.

Compared to larger reasoning models that may introduce unwanted friction through longer generation times, Sonnet 4.6 offers a distinct advantage for teams scaling their developer tools. It reliably follows complex, multi-step instructions and manages state during iterative development sessions. For teams prioritizing high-quality, reliable code completion that keeps pace with an engineer’s keystrokes, this model provides the necessary balance of intelligence and throughput, making it a foundation for professional-grade coding assistants.

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.