Claude Opus 4.7 vs Gemini 3.1 Pro: 100,000-Token RAG Pipelines (100M 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Claude Opus 4.7 has been replaced by Claude Opus 5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 Gemini 3.1 Pro
Complete Comparison: 100,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 80% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 80% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (80% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.125000 (rounded ~ $0.13)Worst $0.100000Best
Output Cost $0.012500 (rounded ~ $0.01)Worst $0.012000 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.047500 (rounded ~ $0.05) Most Expensive $0.040000 Best Value
Processing Time 6 minutes, 59.95 seconds Slowest 4 minutes, 33.03 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.000466Worst $0.000392Best
Tokens per Dollar 2,147,368Worst Value 2,550,000Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Worst $1.000000Best
Output Cost / 1M (Base) $6.250000Worst $6.000000Best
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Worst
Optimizations: 50.0% batch
$0.500000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Worst
Optimizations: 50.0% batch
$3.000000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
80
✓ 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)
80%
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

$0.047500 Total Cost
$0.025000 Input Cost
$0.012500 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
$0.000466Cost per 1K
2,147,368Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 59s 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

$0.047500 (rounded ~ $0.05)
Total Cost
⚡ 80% 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) $0.137500 (rounded ~ $0.14) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.047500 (rounded ~ $0.05) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.090000 65.5% 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: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.047500 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000466
  • Tokens per dollar: 2,147,368 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: 6 minutes, 59.95 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude for high-precision reasoning in multi-step RAG; use Gemini for processing vastultra-long context datasets at scale.

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 →

Gemini 3.1 Pro Google 1000000

$0.040000
Total Cost
⚡ 80% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.112000 (rounded ~ $0.11) Input: $0.100000
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost $0.040000 Input: $0.100000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.072000 (rounded ~ $0.07) 64.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.012000 (rounded ~ $0.01)
  • Total Cost: $0.040000
  • Cost per 1K tokens: $0.000392
  • Tokens per dollar: 2,550,000 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 4 minutes, 33.03 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude for high-precision reasoning in multi-step RAG; use Gemini for processing vastultra-long context datasets at scale.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $0.000850 Best Value ↓ 98.2% cheaper ↓ 97.9% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.002500 ↓ 94.7% cheaper ↓ 93.8% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.003350 ↓ 92.9% cheaper ↓ 91.6% cheaper
#4 Gemini 2.5 Flash
Google
 $0.003350 ↓ 92.9% cheaper ↓ 91.6% cheaper
#5 Mistral Large 3
Mistral AI
 $0.004250 ↓ 91.1% cheaper ↓ 89.4% cheaper
#6 Gemini 3.8 Flash
Google
 $0.007125 (rounded ~ $0.01) ↓ 85% cheaper ↓ 82.2% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.007500 (rounded ~ $0.01) ↓ 84.2% cheaper ↓ 81.3% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.009000 (rounded ~ $0.01) ↓ 81.1% cheaper ↓ 77.5% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.009500 ↓ 80% cheaper ↓ 76.3% cheaper
#10 o4-mini
OpenAI
 $0.009900 ↓ 79.2% cheaper ↓ 75.3% cheaper
#11 Gemini 3.1 Flash
Google
 $0.010000 ↓ 78.9% cheaper ↓ 75% cheaper
#12 GPT-5.6 Luna
OpenAI
 $0.010000 ↓ 78.9% cheaper ↓ 75% cheaper
#13 Gemini 3.6 Flash
Google
 $0.014250 (rounded ~ $0.01) ↓ 70% cheaper ↓ 64.4% cheaper
#14 Gemini 3.5 Flash
Google
 $0.015000 (rounded ~ $0.02) ↓ 68.4% cheaper ↓ 62.5% cheaper
#15 Claude Sonnet 5
Anthropic
 $0.019000 (rounded ~ $0.02) ↓ 60% cheaper ↓ 52.5% cheaper
#16 GPT-5.3 Codex Spark
OpenAI
 $0.019250 ↓ 59.5% cheaper ↓ 51.9% cheaper
#17 GPT-5.3 Instant
OpenAI
 $0.019250 ↓ 59.5% cheaper ↓ 51.9% cheaper
#18 GPT-5.6 Terra
OpenAI
 $0.025000 (rounded ~ $0.03) ↓ 47.4% cheaper ↓ 37.5% cheaper
#19 Gemini 2.5 Pro
Google
 $0.027500 (rounded ~ $0.03) ↓ 42.1% cheaper ↓ 31.3% cheaper
#20 Claude Sonnet 4.6
Anthropic
 $0.028500 (rounded ~ $0.03) ↓ 40% cheaper ↓ 28.8% cheaper
#21 Grok 4.3
xAI
 $0.032000 (rounded ~ $0.03) ↓ 32.6% cheaper ↓ 20% cheaper
#22 Grok 4.20 Beta
xAI
 $0.032000 (rounded ~ $0.03) ↓ 32.6% cheaper ↓ 20% cheaper
#23 Gemini 3.1 Pro
Google
 $0.040000 ↓ 15.8% cheaper Same price
#24 Claude Opus 5
Anthropic
 $0.047500 (rounded ~ $0.05) Same price ↑ 18.8% more
#25 Claude Opus 4.8
Anthropic
 $0.047500 (rounded ~ $0.05) Same price ↑ 18.8% more
#26 Claude Opus 4.6
Anthropic
 $0.047500 (rounded ~ $0.05) Same price ↑ 18.8% more
#27 GPT-5.4
OpenAI
 $0.050000 ↑ 5.3% more ↑ 25% more
#28 GPT-5.4 Thinking
OpenAI
 $0.050000 ↑ 5.3% more ↑ 25% more
#29 GPT-5.5 Instant
OpenAI
 $0.050000 ↑ 5.3% more ↑ 25% more
#30 GPT-5.6 Sol
OpenAI
 $0.050000 ↑ 5.3% more ↑ 25% more
#31 Claude Fable 5.1
Anthropic
 $0.080000 ↑ 68.4% more ↑ 100% more
#32 Claude Mythos 5.1
Anthropic
 $0.080000 ↑ 68.4% more ↑ 100% more
#33 o3 Deep Research
OpenAI
 $0.090000 ↑ 89.5% more ↑ 125% more
#34 Claude Fable 5
Anthropic
 $0.095000 (rounded ~ $0.10) ↑ 100% more ↑ 137.5% more
#35 Claude Mythos 5
Anthropic
 $0.095000 (rounded ~ $0.10) ↑ 100% more ↑ 137.5% more
#36 GPT-5.5
OpenAI
 $0.100000 ↑ 110.5% more ↑ 150% more
#37 o3 Pro
OpenAI
 $0.180000 ↑ 278.9% more ↑ 350% more
#38 GPT-6 Astra
OpenAI
 $0.190000 ↑ 300% more ↑ 375% more
#39 GPT-5.2 Pro
OpenAI
 $0.231000 ↑ 386.3% more ↑ 477.5% more
#40 GPT-5.2 Pro
OpenAI
 $0.231000 ↑ 386.3% more ↑ 477.5% more
🏆

Mistral Small 3
Mistral AI

$0.000850
vs Claude Opus 4.7: ↓ 98.2%
vs Gemini 3.1 Pro: ↓ 97.9%
🥈

Gemini 3.1 Flash Lite
Google

$0.002500
vs Claude Opus 4.7: ↓ 94.7%
vs Gemini 3.1 Pro: ↓ 93.8%
🥉

Gemini 3.5 Flash-Lite
Google

$0.003350
vs Claude Opus 4.7: ↓ 92.9%
vs Gemini 3.1 Pro: ↓ 91.6%
#4

Gemini 2.5 Flash
Google

$0.003350
vs Claude Opus 4.7: ↓ 92.9%
vs Gemini 3.1 Pro: ↓ 91.6%
#5

Mistral Large 3
Mistral AI

$0.004250
vs Claude Opus 4.7: ↓ 91.1%
vs Gemini 3.1 Pro: ↓ 89.4%
#6

Gemini 3.8 Flash
Google

$0.007125 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 85%
vs Gemini 3.1 Pro: ↓ 82.2%
#7

GPT-5.4 mini
OpenAI

$0.007500 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 84.2%
vs Gemini 3.1 Pro: ↓ 81.3%
#8

o4-mini Deep Research
OpenAI

$0.009000 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 81.1%
vs Gemini 3.1 Pro: ↓ 77.5%
#9

Claude Haiku 4.5
Anthropic

$0.009500
vs Claude Opus 4.7: ↓ 80%
vs Gemini 3.1 Pro: ↓ 76.3%
#10

o4-mini
OpenAI

$0.009900
vs Claude Opus 4.7: ↓ 79.2%
vs Gemini 3.1 Pro: ↓ 75.3%
#11

Gemini 3.1 Flash
Google

$0.010000
vs Claude Opus 4.7: ↓ 78.9%
vs Gemini 3.1 Pro: ↓ 75%
#12

GPT-5.6 Luna
OpenAI

$0.010000
vs Claude Opus 4.7: ↓ 78.9%
vs Gemini 3.1 Pro: ↓ 75%
#13

Gemini 3.6 Flash
Google

$0.014250 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 70%
vs Gemini 3.1 Pro: ↓ 64.4%
#14

Gemini 3.5 Flash
Google

$0.015000 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 68.4%
vs Gemini 3.1 Pro: ↓ 62.5%
#15

Claude Sonnet 5
Anthropic

$0.019000 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 60%
vs Gemini 3.1 Pro: ↓ 52.5%
#16

GPT-5.3 Codex Spark
OpenAI

$0.019250
vs Claude Opus 4.7: ↓ 59.5%
vs Gemini 3.1 Pro: ↓ 51.9%
#17

GPT-5.3 Instant
OpenAI

$0.019250
vs Claude Opus 4.7: ↓ 59.5%
vs Gemini 3.1 Pro: ↓ 51.9%
#18

GPT-5.6 Terra
OpenAI

$0.025000 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 47.4%
vs Gemini 3.1 Pro: ↓ 37.5%
#19

Gemini 2.5 Pro
Google

$0.027500 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 42.1%
vs Gemini 3.1 Pro: ↓ 31.3%
#20

Claude Sonnet 4.6
Anthropic

$0.028500 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 40%
vs Gemini 3.1 Pro: ↓ 28.8%
#21

Grok 4.3
xAI

$0.032000 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 32.6%
vs Gemini 3.1 Pro: ↓ 20%
#22

Grok 4.20 Beta
xAI

$0.032000 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 32.6%
vs Gemini 3.1 Pro: ↓ 20%
#23

Gemini 3.1 Pro
Google

$0.040000
vs Claude Opus 4.7: ↓ 15.8%
vs Gemini 3.1 Pro: Same
#24

Claude Opus 5
Anthropic

$0.047500 (rounded ~ $0.05)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 18.8%
#25

Claude Opus 4.8
Anthropic

$0.047500 (rounded ~ $0.05)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 18.8%
#26

Claude Opus 4.6
Anthropic

$0.047500 (rounded ~ $0.05)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 18.8%
#27

GPT-5.4
OpenAI

$0.050000
vs Claude Opus 4.7: ↑ 5.3%
vs Gemini 3.1 Pro: ↑ 25%
#28

GPT-5.4 Thinking
OpenAI

$0.050000
vs Claude Opus 4.7: ↑ 5.3%
vs Gemini 3.1 Pro: ↑ 25%
#29

GPT-5.5 Instant
OpenAI

$0.050000
vs Claude Opus 4.7: ↑ 5.3%
vs Gemini 3.1 Pro: ↑ 25%
#30

GPT-5.6 Sol
OpenAI

$0.050000
vs Claude Opus 4.7: ↑ 5.3%
vs Gemini 3.1 Pro: ↑ 25%
#31

Claude Fable 5.1
Anthropic

$0.080000
vs Claude Opus 4.7: ↑ 68.4%
vs Gemini 3.1 Pro: ↑ 100%
#32

Claude Mythos 5.1
Anthropic

$0.080000
vs Claude Opus 4.7: ↑ 68.4%
vs Gemini 3.1 Pro: ↑ 100%
#33

o3 Deep Research
OpenAI

$0.090000
vs Claude Opus 4.7: ↑ 89.5%
vs Gemini 3.1 Pro: ↑ 125%
#34

Claude Fable 5
Anthropic

$0.095000 (rounded ~ $0.10)
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 137.5%
#35

Claude Mythos 5
Anthropic

$0.095000 (rounded ~ $0.10)
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 137.5%
#36

GPT-5.5
OpenAI

$0.100000
vs Claude Opus 4.7: ↑ 110.5%
vs Gemini 3.1 Pro: ↑ 150%
#37

o3 Pro
OpenAI

$0.180000
vs Claude Opus 4.7: ↑ 278.9%
vs Gemini 3.1 Pro: ↑ 350%
#38

GPT-6 Astra
OpenAI

$0.190000
vs Claude Opus 4.7: ↑ 300%
vs Gemini 3.1 Pro: ↑ 375%
#39

GPT-5.2 Pro
OpenAI

$0.231000
vs Claude Opus 4.7: ↑ 386.3%
vs Gemini 3.1 Pro: ↑ 477.5%
#40

GPT-5.2 Pro
OpenAI

$0.231000
vs Claude Opus 4.7: ↑ 386.3%
vs Gemini 3.1 Pro: ↑ 477.5%
✨ 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.

Scaling Enterprise Retrieval-Augmented Generation

For organizations managing massive internal knowledge bases, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often comes down to the nature of the retrieval workflow and the specific depth of reasoning required. Claude Opus 4.7 is designed for sustained, high-fidelity reasoning over complex documents. Its architecture excels in multi-step agentic workflows where maintaining strict instruction adherence across large contexts is paramount. It is particularly effective when the retrieval process requires the model to synthesize information across disparate, unstructured data sources to construct a coherent, nuanced response.

Conversely, Gemini 3.1 Pro leverages an expansive context window that facilitates massive-scale retrieval. For pipelines where the primary challenge is the volume of data rather than the complexity of the inference, Gemini’s ability to ingest and reason over immense document sets in a single pass offers significant architectural advantages. It is often the preferred choice for tasks requiring the analysis of vast, interconnected datasets, such as comprehensive compliance reporting or large-scale financial document reviews.

When planning for 100M-token monthly volumes, consider your bottleneck. If your process requires deep, high-precision logical deduction for each retrieved chunk, Claude Opus 4.7 provides the necessary architectural reliability. If your system is focused on high-throughput synthesis of large, varied information archives, Gemini 3.1 Pro’s native capacity for long-context multimodal retrieval is difficult to overlook. Both models offer robust tool-calling, but their strategic fit differs based on whether your primary constraint is reasoning density or raw context capacity.

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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