Claude Opus 4.6 for Autonomous Coding Teams: Setup & Pricing

Complete Analysis: 19,000 tokens for Claude Opus 4.6

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Opus 4.6 model .

$0.175000 (rounded ~ 0.18) Total Cost
19,000 Total Tokens
1 minute, 9.00 seconds Processing Time
275 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Claude Opus 4.6
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
Use Batch API (50% discount)
0%
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

$0.075000 Input Cost
$0.100000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
19,000Total Tokens
$0.009211Cost per 1K
108,571Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

1m 9s Processing Time
280 Tokens/Second
380ms Time to First Token
275 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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)

🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
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 Opus 4.6 Anthropic 1000000

$0.175000 (rounded ~ 0.18)
Total Cost
🔧 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) $0.175000 (rounded ~ 0.18) Input: $0.075000 (rounded ~ 0.08)
Output: $0.100000
Optimized Cost $0.175000 (rounded ~ 0.18) Input: $0.075000 (rounded ~ 0.08)
Output: $0.100000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 4,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ 0.08)
  • Output Cost: $0.100000
  • Total Cost: $0.175000 (rounded ~ 0.18)
  • Cost per 1K tokens: $0.009211
  • Tokens per dollar: 108,571 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 280 tokens per second and 380ms time to first token:

  • Processing Time: 1 minute, 9.00 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 275 tokens/second (temperature-adjusted)

Best Use Cases

Autonomous AgentsCode ReviewRefactoring

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.6
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 4,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.6
🏆 Mistral Small 3
Mistral AI
$0.002700 (rounded ~ 0.00) Best Value ↓ 98.5% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.003100 (rounded ~ 0.00) ↓ 98.2% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
$0.007450 (rounded ~ 0.01) ↓ 95.7% cheaper
#4 o4-mini Deep Research
OpenAI
$0.031000 (rounded ~ 0.03) ↓ 82.3% cheaper
#5 o4-mini
OpenAI
$0.034100 (rounded ~ 0.03) ↓ 80.5% cheaper
#6 Mistral Large 3
Mistral AI
$0.054000 (rounded ~ 0.05) ↓ 69.1% cheaper
#7 Sonar Deep Research
Perplexity
$0.062000 (rounded ~ 0.06) ↓ 64.6% cheaper
#8 Gemini 3.1 Pro
Google
$0.078000 (rounded ~ 0.08) ↓ 55.4% cheaper
#9 GPT-5.3 Codex Spark
OpenAI
$0.082250 (rounded ~ 0.08) ↓ 53% cheaper
#10 GPT-5.4 Thinking
OpenAI
$0.097500 (rounded ~ 0.10) ↓ 44.3% cheaper
#11 Claude Sonnet 4.6
Anthropic
$0.105000 (rounded ~ 0.11) ↓ 40% cheaper
#12 Grok 5
xAI
$0.105000 (rounded ~ 0.11) ↓ 40% cheaper
#13 Sonar Pro
Perplexity
$0.115000 (rounded ~ 0.12) ↓ 34.3% cheaper
#14 o3 Deep Research
OpenAI
$0.310000 ↑ 77.1% more
#15 o3 Pro
OpenAI
$0.620000 ↑ 254.3% more
#16 GPT-5.2 Pro
OpenAI
$0.987000 (rounded ~ 0.99) ↑ 464% more
#17 GPT-5.2 Pro
OpenAI
$0.987000 (rounded ~ 0.99) ↑ 464% more
🏆

Mistral Small 3
Mistral AI

$0.002700 (rounded ~ 0.00)
vs Claude Opus 4.6: ↓ 98.5%
🥈

Gemini 3.1 Flash Lite
Google

$0.003100 (rounded ~ 0.00)
vs Claude Opus 4.6: ↓ 98.2%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.007450 (rounded ~ 0.01)
vs Claude Opus 4.6: ↓ 95.7%
#4

o4-mini Deep Research
OpenAI

$0.031000 (rounded ~ 0.03)
vs Claude Opus 4.6: ↓ 82.3%
#5

o4-mini
OpenAI

$0.034100 (rounded ~ 0.03)
vs Claude Opus 4.6: ↓ 80.5%
#6

Mistral Large 3
Mistral AI

$0.054000 (rounded ~ 0.05)
vs Claude Opus 4.6: ↓ 69.1%
#7

Sonar Deep Research
Perplexity

$0.062000 (rounded ~ 0.06)
vs Claude Opus 4.6: ↓ 64.6%
#8

Gemini 3.1 Pro
Google

$0.078000 (rounded ~ 0.08)
vs Claude Opus 4.6: ↓ 55.4%
#9

GPT-5.3 Codex Spark
OpenAI

$0.082250 (rounded ~ 0.08)
vs Claude Opus 4.6: ↓ 53%
#10

GPT-5.4 Thinking
OpenAI

$0.097500 (rounded ~ 0.10)
vs Claude Opus 4.6: ↓ 44.3%
#11

Claude Sonnet 4.6
Anthropic

$0.105000 (rounded ~ 0.11)
vs Claude Opus 4.6: ↓ 40%
#12

Grok 5
xAI

$0.105000 (rounded ~ 0.11)
vs Claude Opus 4.6: ↓ 40%
#13

Sonar Pro
Perplexity

$0.115000 (rounded ~ 0.12)
vs Claude Opus 4.6: ↓ 34.3%
#14

o3 Deep Research
OpenAI

$0.310000
vs Claude Opus 4.6: ↑ 77.1%
#15

o3 Pro
OpenAI

$0.620000
vs Claude Opus 4.6: ↑ 254.3%
#16

GPT-5.2 Pro
OpenAI

$0.987000 (rounded ~ 0.99)
vs Claude Opus 4.6: ↑ 464%
#17

GPT-5.2 Pro
OpenAI

$0.987000 (rounded ~ 0.99)
vs Claude Opus 4.6: ↑ 464%
✨ 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.

High-Reasoning Agent Frameworks

Estimate the cost of running a multi-agent coding squad with Claude 4.6 Opus. This setup uses Tool-Use for CLI access and mid-range temperature for creative debugging.

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 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.