Claude Opus 4.7 vs GPT-5.5 Pro for 15K-Token RAG Pipelines

Claude Opus 4.7 vs GPT-5.5 Pro
Complete Comparison: 15,000 input tokens × 1,000 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) 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
GPT-5.5 Pro
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 15,000 15,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.018750 (rounded ~ $0.02)Best $0.112500 (rounded ~ $0.11)Worst
Output Cost $0.006250 (rounded ~ $0.01)Best $0.045000 (rounded ~ $0.05)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.016563 (rounded ~ $0.02) Best Value $0.157500 (rounded ~ $0.16) Most Expensive
Processing Time 1 minute, 6.03 seconds Slowest 50.53 seconds Fastest
Tokens per Second 260Slowest 340Fastest
Time to First Token 400ms Worst 260ms Best
Cost per 1K tokens $0.001035Best $0.009844Worst
Tokens per Dollar 966,038Best Value 101,587Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $7.500000Worst
Output Cost / 1M (Base) $6.250000Best $45.000000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$3.750000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$22.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✗ Not Supported requested
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

$0.016563 Total Cost
$0.009375 Input Cost
$0.006250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
16,000Total Tokens
$0.001035Cost per 1K
966,038Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 6s Processing Time
260 Tokens/Second
400ms Time to First Token
243 Effective Speed

Model Comparison

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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

$0.016563 (rounded ~ $0.02)
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) $0.025000 (rounded ~ $0.03) Input: $0.018750 (rounded ~ $0.02)
Output: $0.006250 (rounded ~ $0.01)
Optimized Cost $0.016563 (rounded ~ $0.02) Input: $0.018750 (rounded ~ $0.02)
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.008438 (rounded ~ $0.01) 33.8% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.018750 (rounded ~ $0.02)
  • Output Cost: $0.006250 (rounded ~ $0.01)
  • Total Cost: $0.016563 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.001035
  • Tokens per dollar: 966,038 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: 1 minute, 6.03 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 nuanced synthesis and GPT-5.5 Pro for agenticmulti-step research workflows.

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 Pro OpenAI 1000000

$0.157500 (rounded ~ $0.16)
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
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.157500 (rounded ~ $0.16) Input: $0.112500 (rounded ~ $0.11)
Output: $0.045000 (rounded ~ $0.05)
Optimized Cost $0.157500 (rounded ~ $0.16) Input: $0.112500 (rounded ~ $0.11)
Output: $0.045000 (rounded ~ $0.05)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.112500 (rounded ~ $0.11)
  • Output Cost: $0.045000 (rounded ~ $0.05)
  • Total Cost: $0.157500 (rounded ~ $0.16)
  • Cost per 1K tokens: $0.009844
  • Tokens per dollar: 101,587 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 260ms time to first token:

  • Processing Time: 50.53 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for nuanced synthesis and GPT-5.5 Pro for agenticmulti-step research workflows.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.5 Pro. 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: 15,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.5 Pro
🏆 Mistral Small 3
Mistral AI
 $0.000281 Best Value ↓ 98.3% cheaper ↓ 99.8% cheaper
🥈 Grok Code Fast 1
xAI
 $0.000788 ↓ 95.2% cheaper ↓ 99.5% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.000891 ↓ 94.6% cheaper ↓ 99.4% cheaper
#4 Gemini 2.5 Flash
Google
 $0.001244 ↓ 92.5% cheaper ↓ 99.2% cheaper
#5 Mistral Large 3
Mistral AI
 $0.001406 ↓ 91.5% cheaper ↓ 99.1% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.002672 ↓ 83.9% cheaper ↓ 98.3% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.003063 ↓ 81.5% cheaper ↓ 98.1% cheaper
#8 Grok 4.3
xAI
 $0.003203 ↓ 80.7% cheaper ↓ 98% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.003313 ↓ 80% cheaper ↓ 97.9% cheaper
#10 o4-mini
OpenAI
 $0.003369 ↓ 79.7% cheaper ↓ 97.9% cheaper
#11 Gemini 3.1 Flash
Google
 $0.003563 ↓ 78.5% cheaper ↓ 97.7% cheaper
#12 Gemini 3.5 Flash
Google
 $0.005344 (rounded ~ $0.01) ↓ 67.7% cheaper ↓ 96.6% cheaper
#13 Grok 4.20 Beta
xAI
 $0.005625 (rounded ~ $0.01) ↓ 66% cheaper ↓ 96.4% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.007109 (rounded ~ $0.01) ↓ 57.1% cheaper ↓ 95.5% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.007109 (rounded ~ $0.01) ↓ 57.1% cheaper ↓ 95.5% cheaper
#16 Claude Sonnet 4.6
Anthropic
 $0.009938 ↓ 40% cheaper ↓ 93.7% cheaper
#17 Gemini 2.5 Pro
Google
 $0.010156 ↓ 38.7% cheaper ↓ 93.6% cheaper
#18 Gemini 3.1 Pro
Google
 $0.014250 (rounded ~ $0.01) ↓ 14% cheaper ↓ 91% cheaper
#19 Claude Opus 4.8
Anthropic
 $0.016563 (rounded ~ $0.02) Same price ↓ 89.5% cheaper
#20 Claude Opus 4.6
Anthropic
 $0.016563 (rounded ~ $0.02) Same price ↓ 89.5% cheaper
#21 GPT-5.4
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 7.5% more ↓ 88.7% cheaper
#22 GPT-5.4 Thinking
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 7.5% more ↓ 88.7% cheaper
#23 GPT-5.5 Instant
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 7.5% more ↓ 88.7% cheaper
#24 o3 Deep Research
OpenAI
 $0.030625 ↑ 84.9% more ↓ 80.6% cheaper
#25 GPT-5.5
OpenAI
 $0.035625 (rounded ~ $0.04) ↑ 115.1% more ↓ 77.4% cheaper
#26 o3 Pro
OpenAI
 $0.061250 (rounded ~ $0.06) ↑ 269.8% more ↓ 61.1% cheaper
#27 GPT-5.2 Pro
OpenAI
 $0.085313 (rounded ~ $0.09) ↑ 415.1% more ↓ 45.8% cheaper
#28 GPT-5.2 Pro
OpenAI
 $0.085313 (rounded ~ $0.09) ↑ 415.1% more ↓ 45.8% cheaper
🏆

Mistral Small 3
Mistral AI

$0.000281
vs Claude Opus 4.7: ↓ 98.3%
vs GPT-5.5 Pro: ↓ 99.8%
🥈

Grok Code Fast 1
xAI

$0.000788
vs Claude Opus 4.7: ↓ 95.2%
vs GPT-5.5 Pro: ↓ 99.5%
🥉

Gemini 3.1 Flash Lite
Google

$0.000891
vs Claude Opus 4.7: ↓ 94.6%
vs GPT-5.5 Pro: ↓ 99.4%
#4

Gemini 2.5 Flash
Google

$0.001244
vs Claude Opus 4.7: ↓ 92.5%
vs GPT-5.5 Pro: ↓ 99.2%
#5

Mistral Large 3
Mistral AI

$0.001406
vs Claude Opus 4.7: ↓ 91.5%
vs GPT-5.5 Pro: ↓ 99.1%
#6

GPT-5.4 mini
OpenAI

$0.002672
vs Claude Opus 4.7: ↓ 83.9%
vs GPT-5.5 Pro: ↓ 98.3%
#7

o4-mini Deep Research
OpenAI

$0.003063
vs Claude Opus 4.7: ↓ 81.5%
vs GPT-5.5 Pro: ↓ 98.1%
#8

Grok 4.3
xAI

$0.003203
vs Claude Opus 4.7: ↓ 80.7%
vs GPT-5.5 Pro: ↓ 98%
#9

Claude Haiku 4.5
Anthropic

$0.003313
vs Claude Opus 4.7: ↓ 80%
vs GPT-5.5 Pro: ↓ 97.9%
#10

o4-mini
OpenAI

$0.003369
vs Claude Opus 4.7: ↓ 79.7%
vs GPT-5.5 Pro: ↓ 97.9%
#11

Gemini 3.1 Flash
Google

$0.003563
vs Claude Opus 4.7: ↓ 78.5%
vs GPT-5.5 Pro: ↓ 97.7%
#12

Gemini 3.5 Flash
Google

$0.005344 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 67.7%
vs GPT-5.5 Pro: ↓ 96.6%
#13

Grok 4.20 Beta
xAI

$0.005625 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 66%
vs GPT-5.5 Pro: ↓ 96.4%
#14

GPT-5.3 Codex Spark
OpenAI

$0.007109 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 57.1%
vs GPT-5.5 Pro: ↓ 95.5%
#15

GPT-5.3 Instant
OpenAI

$0.007109 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 57.1%
vs GPT-5.5 Pro: ↓ 95.5%
#16

Claude Sonnet 4.6
Anthropic

$0.009938
vs Claude Opus 4.7: ↓ 40%
vs GPT-5.5 Pro: ↓ 93.7%
#17

Gemini 2.5 Pro
Google

$0.010156
vs Claude Opus 4.7: ↓ 38.7%
vs GPT-5.5 Pro: ↓ 93.6%
#18

Gemini 3.1 Pro
Google

$0.014250 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 14%
vs GPT-5.5 Pro: ↓ 91%
#19

Claude Opus 4.8
Anthropic

$0.016563 (rounded ~ $0.02)
vs Claude Opus 4.7: Same
vs GPT-5.5 Pro: ↓ 89.5%
#20

Claude Opus 4.6
Anthropic

$0.016563 (rounded ~ $0.02)
vs Claude Opus 4.7: Same
vs GPT-5.5 Pro: ↓ 89.5%
#21

GPT-5.4
OpenAI

$0.017813 (rounded ~ $0.02)
vs Claude Opus 4.7: ↑ 7.5%
vs GPT-5.5 Pro: ↓ 88.7%
#22

GPT-5.4 Thinking
OpenAI

$0.017813 (rounded ~ $0.02)
vs Claude Opus 4.7: ↑ 7.5%
vs GPT-5.5 Pro: ↓ 88.7%
#23

GPT-5.5 Instant
OpenAI

$0.017813 (rounded ~ $0.02)
vs Claude Opus 4.7: ↑ 7.5%
vs GPT-5.5 Pro: ↓ 88.7%
#24

o3 Deep Research
OpenAI

$0.030625
vs Claude Opus 4.7: ↑ 84.9%
vs GPT-5.5 Pro: ↓ 80.6%
#25

GPT-5.5
OpenAI

$0.035625 (rounded ~ $0.04)
vs Claude Opus 4.7: ↑ 115.1%
vs GPT-5.5 Pro: ↓ 77.4%
#26

o3 Pro
OpenAI

$0.061250 (rounded ~ $0.06)
vs Claude Opus 4.7: ↑ 269.8%
vs GPT-5.5 Pro: ↓ 61.1%
#27

GPT-5.2 Pro
OpenAI

$0.085313 (rounded ~ $0.09)
vs Claude Opus 4.7: ↑ 415.1%
vs GPT-5.5 Pro: ↓ 45.8%
#28

GPT-5.2 Pro
OpenAI

$0.085313 (rounded ~ $0.09)
vs Claude Opus 4.7: ↑ 415.1%
vs GPT-5.5 Pro: ↓ 45.8%
✨ 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 academic researchers managing retrieval-augmented generation (RAG) pipelines, the choice between Claude Opus 4.7 and GPT-5.5 Pro often determines the fidelity of complex literature syntheses. When processing 15K-token contexts, these models exhibit distinct strengths in handling dense academic prose and multi-layered citations.

Claude Opus 4.7 is frequently favored for tasks requiring high linguistic precision and nuanced reasoning. It excels at maintaining the logical flow of arguments across long-form documents, which is essential when a researcher needs to synthesize findings from a diverse array of papers without losing the original authorial intent. Its architecture is particularly adept at interpreting structured data within unstructured text, making it a reliable partner for deep-dive literature reviews.

GPT-5.5 Pro, conversely, offers a distinct advantage in versatility and integration. For researchers who rely on agentic workflows—such as automating the verification of claims against primary sources or executing multi-step search queries—its function-calling reliability and ecosystem maturity are significant assets. While both models perform admirably in retrieval tasks, GPT-5.5 Pro often demonstrates faster iteration times, which can be critical during the rapid hypothesis-generation phase of research.

Ultimately, the decision rests on the nature of your RAG application. Choose Claude Opus 4.7 if your priority is the qualitative depth of the generated summary and the maintenance of complex logical structures. Opt for GPT-5.5 Pro if your research pipeline demands robust, multi-agent capabilities and seamless integration into broader technical workflows.

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.