COST OPTIMIZATION: Claude Sonnet 4.6 for 100K-Token Meeting Summaries

Complete Analysis: 101,000 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) 📊 Batch API
$0.045000 (rounded ~ $0.05) Total Cost
101,000 Total Tokens
3 minutes, 51.36 seconds Processing Time
437 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

$0.045000 Total Cost
$0.037500 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
101,000Total Tokens
$0.000446Cost per 1K
2,244,444Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 51s 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

Claude Sonnet 4.6 Anthropic 1000000

$0.045000 (rounded ~ $0.05)
Total Cost
⚡ 50% Cached 📊 Batch API
👁️
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) $0.078750 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.003750
Optimized Cost $0.045000 (rounded ~ $0.05) Input: $0.075000 (rounded ~ $0.08)
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 42.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.003750
  • Total Cost: $0.045000 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000446
  • Tokens per dollar: 2,244,444 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: 3 minutes, 51.36 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Best for summarizing long transcripts into structuredactionable project management tasks.

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✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6
🏆 Mistral Small 3
Mistral AI
 $0.001450 Best Value ↓ 96.8% cheaper
🥈 Devstral Small 2
Mistral AI
 $0.001450 ↓ 96.8% cheaper
🥉 Grok Code Fast 1
xAI
 $0.003125 ↓ 93.1% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.003813 ↓ 91.5% cheaper
#5 Nemotron 3 Super
Mistral AI
 $0.004330 ↓ 90.4% cheaper
#6 Gemini 2.5 Flash
Google
 $0.004750 ↓ 89.4% cheaper
#7 Devstral 2
Mistral AI
 $0.005725 (rounded ~ $0.01) ↓ 87.3% cheaper
#8 Mistral Large 3
Mistral AI
 $0.007250 (rounded ~ $0.01) ↓ 83.9% cheaper
#9 GPT-5.4 mini
OpenAI
 $0.011438 (rounded ~ $0.01) ↓ 74.6% cheaper
#10 o4-mini Deep Research
OpenAI
 $0.014750 (rounded ~ $0.01) ↓ 67.2% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.015000 (rounded ~ $0.02) ↓ 66.7% cheaper
#12 Gemini 3.1 Flash
Google
 $0.015250 (rounded ~ $0.02) ↓ 66.1% cheaper
#13 o4-mini
OpenAI
 $0.016225 (rounded ~ $0.02) ↓ 63.9% cheaper
#14 Grok 4.3
xAI
 $0.017813 (rounded ~ $0.02) ↓ 60.4% cheaper
#15 Gemini 3.5 Flash
Google
 $0.022875 (rounded ~ $0.02) ↓ 49.2% cheaper
#16 GPT-5.3 Codex Spark
OpenAI
 $0.027563 (rounded ~ $0.03) ↓ 38.8% cheaper
#17 GPT-5.3 Instant
OpenAI
 $0.027563 (rounded ~ $0.03) ↓ 38.8% cheaper
#18 Magistral Medium
Mistral AI
 $0.028750 (rounded ~ $0.03) ↓ 36.1% cheaper
#19 Grok 4.20 Beta
xAI
 $0.029000 ↓ 35.6% cheaper
#20 Gemini 2.5 Pro
Google
 $0.039375 ↓ 12.5% cheaper
#21 Gemini 3.1 Pro
Google
 $0.061000 (rounded ~ $0.06) ↑ 35.6% more
#22 Claude Opus 4.7
Anthropic
 $0.075000 (rounded ~ $0.08) ↑ 66.7% more
#23 Claude Opus 4.8
Anthropic
 $0.075000 (rounded ~ $0.08) ↑ 66.7% more
#24 Claude Opus 4.6
Anthropic
 $0.075000 (rounded ~ $0.08) ↑ 66.7% more
#25 GPT-5.4
OpenAI
 $0.076250 (rounded ~ $0.08) ↑ 69.4% more
#26 GPT-5.4 Thinking
OpenAI
 $0.076250 (rounded ~ $0.08) ↑ 69.4% more
#27 GPT-5.5 Instant
OpenAI
 $0.076250 (rounded ~ $0.08) ↑ 69.4% more
#28 o3 Deep Research
OpenAI
 $0.147500 (rounded ~ $0.15) ↑ 227.8% more
#29 GPT-5.5
OpenAI
 $0.152500 (rounded ~ $0.15) ↑ 238.9% more
#30 o3 Pro
OpenAI
 $0.295000 (rounded ~ $0.30) ↑ 555.6% more
#31 GPT-5.2 Pro
OpenAI
 $0.330750 ↑ 635% more
#32 GPT-5.2 Pro
OpenAI
 $0.330750 ↑ 635% more
🏆

Mistral Small 3
Mistral AI

$0.001450
vs Claude Sonnet 4.6: ↓ 96.8%
🥈

Devstral Small 2
Mistral AI

$0.001450
vs Claude Sonnet 4.6: ↓ 96.8%
🥉

Grok Code Fast 1
xAI

$0.003125
vs Claude Sonnet 4.6: ↓ 93.1%
#4

Gemini 3.1 Flash Lite
Google

$0.003813
vs Claude Sonnet 4.6: ↓ 91.5%
#5

Nemotron 3 Super
Mistral AI

$0.004330
vs Claude Sonnet 4.6: ↓ 90.4%
#6

Gemini 2.5 Flash
Google

$0.004750
vs Claude Sonnet 4.6: ↓ 89.4%
#7

Devstral 2
Mistral AI

$0.005725 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 87.3%
#8

Mistral Large 3
Mistral AI

$0.007250 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 83.9%
#9

GPT-5.4 mini
OpenAI

$0.011438 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 74.6%
#10

o4-mini Deep Research
OpenAI

$0.014750 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 67.2%
#11

Claude Haiku 4.5
Anthropic

$0.015000 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 66.7%
#12

Gemini 3.1 Flash
Google

$0.015250 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 66.1%
#13

o4-mini
OpenAI

$0.016225 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 63.9%
#14

Grok 4.3
xAI

$0.017813 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 60.4%
#15

Gemini 3.5 Flash
Google

$0.022875 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 49.2%
#16

GPT-5.3 Codex Spark
OpenAI

$0.027563 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 38.8%
#17

GPT-5.3 Instant
OpenAI

$0.027563 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 38.8%
#18

Magistral Medium
Mistral AI

$0.028750 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 36.1%
#19

Grok 4.20 Beta
xAI

$0.029000
vs Claude Sonnet 4.6: ↓ 35.6%
#20

Gemini 2.5 Pro
Google

$0.039375
vs Claude Sonnet 4.6: ↓ 12.5%
#21

Gemini 3.1 Pro
Google

$0.061000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 35.6%
#22

Claude Opus 4.7
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
#23

Claude Opus 4.8
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
#24

Claude Opus 4.6
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
#25

GPT-5.4
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 69.4%
#26

GPT-5.4 Thinking
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 69.4%
#27

GPT-5.5 Instant
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 69.4%
#28

o3 Deep Research
OpenAI

$0.147500 (rounded ~ $0.15)
vs Claude Sonnet 4.6: ↑ 227.8%
#29

GPT-5.5
OpenAI

$0.152500 (rounded ~ $0.15)
vs Claude Sonnet 4.6: ↑ 238.9%
#30

o3 Pro
OpenAI

$0.295000 (rounded ~ $0.30)
vs Claude Sonnet 4.6: ↑ 555.6%
#31

GPT-5.2 Pro
OpenAI

$0.330750
vs Claude Sonnet 4.6: ↑ 635%
#32

GPT-5.2 Pro
OpenAI

$0.330750
vs Claude Sonnet 4.6: ↑ 635%
✨ 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.

Leveraging Claude Sonnet 4.6 for High-Efficiency Summarization

Claude Sonnet 4.6 has rapidly become a standard for studios looking to maximize quality while keeping operational costs manageable. For meeting summaries where you have already generated a transcript via a separate audio-to-text pipeline, Sonnet 4.6 is an ideal model for processing that text.

The core strength of Sonnet 4.6 lies in its exceptional instruction-following and its ability to handle structured outputs. When you provide it with a long transcript, it is highly reliable at identifying action items, extracting key decisions, and summarizing technical points without hallucinating details. This makes it particularly effective for game development teams who need to turn a 60-minute recorded design sync into a structured Jira task list.

Its recent upgrades have significantly improved its long-context handling, meaning it can ingest multiple related documents—such as previous meeting summaries or technical specs—alongside the current transcript to provide context-aware summaries. This ability to reason across larger datasets makes it more than just a summarization tool; it functions as an automated project secretary. By focusing on Sonnet 4.6 for text-based summarization, studios can achieve a high level of accuracy and consistency, often matching the performance of larger, more expensive models, while maintaining a predictable and optimized budget profile for their daily operational needs.

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.