Claude Sonnet 4.6 for 100K-Token Multi-Step Voice Agent Reasoning

Complete Analysis: 102,000 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
$0.048750 (rounded ~ $0.05) Total Cost
102,000 Total Tokens
3 minutes, 58.18 seconds Processing Time
429 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

$0.048750 Total Cost
$0.037500 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
102,000Total Tokens
$0.000478Cost per 1K
2,092,308Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 58s Processing Time
450 Tokens/Second
200ms Time to First Token
429 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

$0.048750 (rounded ~ $0.05)
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) $0.082500 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.048750 (rounded ~ $0.05) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 40.9% 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 2,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.048750 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000478
  • Tokens per dollar: 2,092,308 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, 58.18 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 429 tokens/second (temperature-adjusted)

Best Use Cases

Use for complex tool-calling and multi-step reasoning where reliability and instruction following are more critical than minimum latency.

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✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6
🏆 Mistral Small 3
Mistral AI
 $0.001525 Best Value ↓ 96.9% cheaper
🥈 Grok Code Fast 1
xAI
 $0.003500 ↓ 92.8% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.004188 ↓ 91.4% cheaper
#4 Gemini 2.5 Flash
Google
 $0.005375 (rounded ~ $0.01) ↓ 89% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007625 (rounded ~ $0.01) ↓ 84.4% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.012563 (rounded ~ $0.01) ↓ 74.2% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.015750 (rounded ~ $0.02) ↓ 67.7% cheaper
#8 Claude Haiku 4.5
Anthropic
 $0.016250 (rounded ~ $0.02) ↓ 66.7% cheaper
#9 Gemini 3.1 Flash
Google
 $0.016750 (rounded ~ $0.02) ↓ 65.6% cheaper
#10 o4-mini
OpenAI
 $0.017325 (rounded ~ $0.02) ↓ 64.5% cheaper
#11 Grok 4.3
xAI
 $0.018438 (rounded ~ $0.02) ↓ 62.2% cheaper
#12 Gemini 3.5 Flash
Google
 $0.025125 (rounded ~ $0.03) ↓ 48.5% cheaper
#13 Grok 4.20 Beta
xAI
 $0.030500 ↓ 37.4% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 36.3% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 36.3% cheaper
#16 Gemini 2.5 Pro
Google
 $0.044375 (rounded ~ $0.04) ↓ 9% cheaper
#17 Gemini 3.1 Pro
Google
 $0.067000 (rounded ~ $0.07) ↑ 37.4% more
#18 Claude Opus 4.7
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more
#19 Claude Opus 4.8
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more
#20 Claude Opus 4.6
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more
#21 GPT-5.4
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more
#22 GPT-5.4 Thinking
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more
#23 GPT-5.5 Instant
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more
#24 o3 Deep Research
OpenAI
 $0.157500 (rounded ~ $0.16) ↑ 223.1% more
#25 GPT-5.5
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 243.6% more
#26 o3 Pro
OpenAI
 $0.315000 (rounded ~ $0.32) ↑ 546.2% more
#27 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 664.6% more
#28 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 664.6% more
🏆

Mistral Small 3
Mistral AI

$0.001525
vs Claude Sonnet 4.6: ↓ 96.9%
🥈

Grok Code Fast 1
xAI

$0.003500
vs Claude Sonnet 4.6: ↓ 92.8%
🥉

Gemini 3.1 Flash Lite
Google

$0.004188
vs Claude Sonnet 4.6: ↓ 91.4%
#4

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 89%
#5

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 84.4%
#6

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 74.2%
#7

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 67.7%
#8

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 66.7%
#9

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 65.6%
#10

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 64.5%
#11

Grok 4.3
xAI

$0.018438 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 62.2%
#12

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 48.5%
#13

Grok 4.20 Beta
xAI

$0.030500
vs Claude Sonnet 4.6: ↓ 37.4%
#14

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 36.3%
#15

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 36.3%
#16

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 9%
#17

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 37.4%
#18

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
#19

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
#20

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
#21

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
#22

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
#23

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
#24

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)
vs Claude Sonnet 4.6: ↑ 223.1%
#25

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Claude Sonnet 4.6: ↑ 243.6%
#26

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)
vs Claude Sonnet 4.6: ↑ 546.2%
#27

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 4.6: ↑ 664.6%
#28

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 4.6: ↑ 664.6%
✨ 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.

Balancing Intelligence and Speed in Voice Agents

Voice agents are moving beyond simple Q&A toward complex, multi-step orchestration. When an agent needs to perform deep reasoning—perhaps cross-referencing customer data, checking inventory, and formulating a nuanced response—Claude Sonnet 4.6 stands out as the primary workhorse. Its architecture is tuned for reliability in tool-calling scenarios, which is critical when a voice assistant must interact with internal APIs reliably to avoid awkward silences or incorrect actions.

The advantage of using Sonnet 4.6 in this context is its ability to handle long-context reasoning without degrading performance. Unlike smaller, faster models that might lose the thread of a conversation or misinterpret complex instructions, Sonnet 4.6 maintains high adherence to system prompts throughout extended calls. This makes it ideal for enterprise-grade voice agents where task completion accuracy is paramount. While it may not match the sub-second latency of specialized real-time models, its capability to process 100,000-token contexts allows for sophisticated logic that differentiates a premium, highly capable assistant from a basic script-follower. For teams focused on building high-value autonomous agents, the trade-off in raw latency is often offset by the reduction in error rates and the ability to handle complex, unstructured user requests on the first attempt.

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.