Claude Opus 4.7 vs GPT-5.5: Support Agent Costs for 500,000 Tokens Monthly

Claude Opus 4.7 has been replaced by Claude Opus 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Opus 5 pricing →  ·  All recent pricing changes

Claude Opus 4.7 vs GPT-5.5
Complete Comparison: 500,000 input tokens × 50,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Claude Opus 4.7
Anthropic
GPT-5.5
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 500,000 500,000
Output Tokens 50,000 50,000
Cost Breakdown
Input Cost $2.500000Best $5.000000Worst
Output Cost $1.250000Best $2.250000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $2.625000 (rounded ~ $2.63) Best Value $5.000000 Most Expensive
Processing Time 37 minutes, 43.64 seconds Slowest 23 minutes, 21.37 seconds Fastest
Tokens per Second 260Slowest 420Fastest
Time to First Token 400ms Worst 210ms Best
Cost per 1K tokens $0.004773Best $0.009091Worst
Tokens per Dollar 209,524Best Value 110,000Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Best $10.000000Worst
Output Cost / 1M (Base) $25.000000Best $45.000000Worst
Input Cost / 1M (Optimized) $5.000000Best
Optimizations: No optimizations applied
$10.000000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $25.000000Best
Optimizations: No optimizations applied
$45.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Claude Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 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

$2.625000 Total Cost
$1.250000 Input Cost
$1.250000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
550,000Total Tokens
$0.004773Cost per 1K
209,524Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

37m 43s Processing Time
260 Tokens/Second
400ms Time to First Token
243 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Claude Opus 4.7 Anthropic 1000000

$2.625000 (rounded ~ $2.63)
Total Cost
⚡ 50% Cached 🔧 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) $3.750000 Input: $2.500000
Output: $1.250000
Optimized Cost $2.625000 (rounded ~ $2.63) Input: $2.500000
Output: $1.250000
Unit: $0.000000
Fees: $0.000000
Total Savings $1.125000 (rounded ~ $1.13) 30.0% discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $2.500000
  • Output Cost: $1.250000
  • Total Cost: $2.625000 (rounded ~ $2.63)
  • Cost per 1K tokens: $0.004773
  • Tokens per dollar: 209,524 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 260 tokens per second and 400ms time to first token:

  • Processing Time: 37 minutes, 43.64 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for nuancedmulti-turn reasoning and GPT-5.5 for reliabletool-heavy backend integration.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.7. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

GPT-5.5 OpenAI 1000000 🏔️ Context Cliff

$5.000000
Total Cost
⚡ 50% Cached 🔧 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) $7.250000 Input: $5.000000
Output: $2.250000
Optimized Cost $5.000000 Input: $5.000000
Output: $2.250000
Unit: $0.000000
Fees: $0.000000
Total Savings $2.250000 31.0% discount

Advanced Cost Breakdown (from Plugin)

🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $5.000000
  • Output Cost: $2.250000
  • Total Cost: $5.000000
  • Cost per 1K tokens: $0.009091
  • Tokens per dollar: 110,000 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

  • Processing Time: 23 minutes, 21.37 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for nuancedmulti-turn reasoning and GPT-5.5 for reliabletool-heavy backend integration.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.5. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 50,000
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.5
🏆 Gemini 3.1 Flash Lite
Google
 $0.143750 (rounded ~ $0.14) Best Value ↓ 94.5% cheaper ↓ 97.1% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.207500 (rounded ~ $0.21) ↓ 92.1% cheaper ↓ 95.9% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.207500 (rounded ~ $0.21) ↓ 92.1% cheaper ↓ 95.9% cheaper
#4 Gemini 3.8 Flash
Google
 $0.393750 (rounded ~ $0.39) ↓ 85% cheaper ↓ 92.1% cheaper
#5 Gemini 3.1 Flash
Google
 $0.575000 (rounded ~ $0.58) ↓ 78.1% cheaper ↓ 88.5% cheaper
#6 GPT-5.6 Luna
OpenAI
 $0.575000 (rounded ~ $0.58) ↓ 78.1% cheaper ↓ 88.5% cheaper
#7 Gemini 3.6 Flash
Google
 $0.787500 (rounded ~ $0.79) ↓ 70% cheaper ↓ 84.3% cheaper
#8 Gemini 3.5 Flash
Google
 $0.862500 (rounded ~ $0.86) ↓ 67.1% cheaper ↓ 82.8% cheaper
#9 Grok 4.3
xAI
 $0.937500 (rounded ~ $0.94) ↓ 64.3% cheaper ↓ 81.3% cheaper
#10 Grok 4.20 Beta
xAI
 $0.937500 (rounded ~ $0.94) ↓ 64.3% cheaper ↓ 81.3% cheaper
#11 Claude Sonnet 5
Anthropic
 $1.050000 ↓ 60% cheaper ↓ 79% cheaper
#12 Gemini 2.5 Pro
Google
 $1.437500 (rounded ~ $1.44) ↓ 45.2% cheaper ↓ 71.3% cheaper
#13 GPT-5.6 Terra
OpenAI
 $1.437500 (rounded ~ $1.44) ↓ 45.2% cheaper ↓ 71.3% cheaper
#14 Claude Sonnet 4.6
Anthropic
 $1.575000 (rounded ~ $1.58) ↓ 40% cheaper ↓ 68.5% cheaper
#15 Gemini 3.1 Pro
Google
 $2.000000 ↓ 23.8% cheaper ↓ 60% cheaper
#16 GPT-5.4
OpenAI
 $2.500000 ↓ 4.8% cheaper ↓ 50% cheaper
#17 GPT-5.4 Thinking
OpenAI
 $2.500000 ↓ 4.8% cheaper ↓ 50% cheaper
#18 Claude Opus 5
Anthropic
 $2.625000 (rounded ~ $2.63) Same price ↓ 47.5% cheaper
#19 Claude Opus 4.8
Anthropic
 $2.625000 (rounded ~ $2.63) Same price ↓ 47.5% cheaper
#20 Claude Opus 4.6
Anthropic
 $2.625000 (rounded ~ $2.63) Same price ↓ 47.5% cheaper
#21 GPT-5.6 Sol
OpenAI
 $2.875000 (rounded ~ $2.88) ↑ 9.5% more ↓ 42.5% cheaper
#22 GPT-5.5
OpenAI
 $5.000000 ↑ 90.5% more Same price
#23 Claude Fable 5.1
Anthropic
 $5.062500 (rounded ~ $5.06) ↑ 92.9% more ↑ 1.3% more
#24 Claude Mythos 5.1
Anthropic
 $5.062500 (rounded ~ $5.06) ↑ 92.9% more ↑ 1.3% more
#25 Claude Fable 5
Anthropic
 $5.250000 ↑ 100% more ↑ 5% more
#26 Claude Mythos 5
Anthropic
 $5.250000 ↑ 100% more ↑ 5% more
#27 GPT-6 Astra
OpenAI
 $10.500000 ↑ 300% more ↑ 110% more
#28 GPT-6 Astra
OpenAI
 $10.500000 ↑ 300% more ↑ 110% more
🏆

Gemini 3.1 Flash Lite
Google

$0.143750 (rounded ~ $0.14)
vs Claude Opus 4.7: ↓ 94.5%
vs GPT-5.5: ↓ 97.1%
🥈

Gemini 3.5 Flash-Lite
Google

$0.207500 (rounded ~ $0.21)
vs Claude Opus 4.7: ↓ 92.1%
vs GPT-5.5: ↓ 95.9%
🥉

Gemini 2.5 Flash
Google

$0.207500 (rounded ~ $0.21)
vs Claude Opus 4.7: ↓ 92.1%
vs GPT-5.5: ↓ 95.9%
#4

Gemini 3.8 Flash
Google

$0.393750 (rounded ~ $0.39)
vs Claude Opus 4.7: ↓ 85%
vs GPT-5.5: ↓ 92.1%
#5

Gemini 3.1 Flash
Google

$0.575000 (rounded ~ $0.58)
vs Claude Opus 4.7: ↓ 78.1%
vs GPT-5.5: ↓ 88.5%
#6

GPT-5.6 Luna
OpenAI

$0.575000 (rounded ~ $0.58)
vs Claude Opus 4.7: ↓ 78.1%
vs GPT-5.5: ↓ 88.5%
#7

Gemini 3.6 Flash
Google

$0.787500 (rounded ~ $0.79)
vs Claude Opus 4.7: ↓ 70%
vs GPT-5.5: ↓ 84.3%
#8

Gemini 3.5 Flash
Google

$0.862500 (rounded ~ $0.86)
vs Claude Opus 4.7: ↓ 67.1%
vs GPT-5.5: ↓ 82.8%
#9

Grok 4.3
xAI

$0.937500 (rounded ~ $0.94)
vs Claude Opus 4.7: ↓ 64.3%
vs GPT-5.5: ↓ 81.3%
#10

Grok 4.20 Beta
xAI

$0.937500 (rounded ~ $0.94)
vs Claude Opus 4.7: ↓ 64.3%
vs GPT-5.5: ↓ 81.3%
#11

Claude Sonnet 5
Anthropic

$1.050000
vs Claude Opus 4.7: ↓ 60%
vs GPT-5.5: ↓ 79%
#12

Gemini 2.5 Pro
Google

$1.437500 (rounded ~ $1.44)
vs Claude Opus 4.7: ↓ 45.2%
vs GPT-5.5: ↓ 71.3%
#13

GPT-5.6 Terra
OpenAI

$1.437500 (rounded ~ $1.44)
vs Claude Opus 4.7: ↓ 45.2%
vs GPT-5.5: ↓ 71.3%
#14

Claude Sonnet 4.6
Anthropic

$1.575000 (rounded ~ $1.58)
vs Claude Opus 4.7: ↓ 40%
vs GPT-5.5: ↓ 68.5%
#15

Gemini 3.1 Pro
Google

$2.000000
vs Claude Opus 4.7: ↓ 23.8%
vs GPT-5.5: ↓ 60%
#16

GPT-5.4
OpenAI

$2.500000
vs Claude Opus 4.7: ↓ 4.8%
vs GPT-5.5: ↓ 50%
#17

GPT-5.4 Thinking
OpenAI

$2.500000
vs Claude Opus 4.7: ↓ 4.8%
vs GPT-5.5: ↓ 50%
#18

Claude Opus 5
Anthropic

$2.625000 (rounded ~ $2.63)
vs Claude Opus 4.7: Same
vs GPT-5.5: ↓ 47.5%
#19

Claude Opus 4.8
Anthropic

$2.625000 (rounded ~ $2.63)
vs Claude Opus 4.7: Same
vs GPT-5.5: ↓ 47.5%
#20

Claude Opus 4.6
Anthropic

$2.625000 (rounded ~ $2.63)
vs Claude Opus 4.7: Same
vs GPT-5.5: ↓ 47.5%
#21

GPT-5.6 Sol
OpenAI

$2.875000 (rounded ~ $2.88)
vs Claude Opus 4.7: ↑ 9.5%
vs GPT-5.5: ↓ 42.5%
#22

GPT-5.5
OpenAI

$5.000000
vs Claude Opus 4.7: ↑ 90.5%
vs GPT-5.5: Same
#23

Claude Fable 5.1
Anthropic

$5.062500 (rounded ~ $5.06)
vs Claude Opus 4.7: ↑ 92.9%
vs GPT-5.5: ↑ 1.3%
#24

Claude Mythos 5.1
Anthropic

$5.062500 (rounded ~ $5.06)
vs Claude Opus 4.7: ↑ 92.9%
vs GPT-5.5: ↑ 1.3%
#25

Claude Fable 5
Anthropic

$5.250000
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.5: ↑ 5%
#26

Claude Mythos 5
Anthropic

$5.250000
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.5: ↑ 5%
#27

GPT-6 Astra
OpenAI

$10.500000
vs Claude Opus 4.7: ↑ 300%
vs GPT-5.5: ↑ 110%
#28

GPT-6 Astra
OpenAI

$10.500000
vs Claude Opus 4.7: ↑ 300%
vs GPT-5.5: ↑ 110%
✨ 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.

For developers building multi-turn customer support agents, the choice between Claude Opus 4.7 and GPT-5.5 often comes down to the specific nature of your agent’s reasoning requirements. Claude Opus 4.7 is widely recognized for its nuanced handling of complex, multi-step instructions and its ability to maintain coherence across lengthy conversations, which is critical when a customer support interaction spans multiple issues or requires a high degree of empathy and brand consistency. Its strength lies in its ability to follow subtle directives and manage long-running state without losing the thread of the conversation.

Conversely, GPT-5.5 offers a robust framework for agentic workflows where integration with external systems is paramount. If your support agent needs to frequently query CRM databases, trigger API actions to process refunds, or execute backend scripts to troubleshoot user issues, GPT-5.5’s highly reliable tool-use capabilities can reduce the number of error-correction loops. It excels at maintaining focus during tool-heavy chains, making it an excellent candidate for agents that act as true digital operators rather than just conversational interfaces. When evaluating these models for your support stack, prioritize Claude if your primary challenge is maintaining high-quality, long-context reasoning, and look to GPT-5.5 if your focus is on reliable, tool-driven automation that bridges the gap between customer chat and backend resolution.

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 Opus 4.7 currently costs $5.00 / $25.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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