Claude Opus 4.7 Cost for 500 Images in Storyboard Production

Claude Opus 4.7 has been replaced by Claude Opus 5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

Complete Analysis: 359,500 tokens for Claude Opus 4.7
🖼️ 500 Images ⚡ 70% Cached

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Opus 4.7 model with 500 Images, 70% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.174950 (rounded ~ $0.17) Total Cost
359,500 Total Tokens
24 minutes, 12.01 seconds Processing Time
248 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Claude Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
▼
▼
Use Batch API (50% discount)
70%
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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.174950 Total Cost
$0.134250 Input Cost
$0.009375 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
359,500Total Tokens
$0.000487Cost per 1K
2,054,873Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

24m 12s Processing Time
260 Tokens/Second
400ms Time to First Token
248 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 Opus 4.7 Anthropic 1000000

$0.174950 (rounded ~ $0.17)
Total Cost
🖼️ 500 Image (Medium) ⚡ 70% 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) $0.456875 (rounded ~ $0.46) Input: $0.447500 (rounded ~ $0.45)
Output: $0.009375
Optimized Cost $0.174950 (rounded ~ $0.17) Input: $0.447500 (rounded ~ $0.45)
Output: $0.009375
Unit: $0.000000
Fees: $0.000000
Total Savings $0.281925 (rounded ~ $0.28) 61.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 500
Resolution: Medium
Tokens: 258,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.447500 (rounded ~ $0.45)
  • Output Cost: $0.009375
  • Total Cost: $0.174950 (rounded ~ $0.17)
  • Cost per 1K tokens: $0.000487
  • Tokens per dollar: 2,054,873 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: 24 minutes, 12.01 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 248 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for technical storyboard analysishigh-density image parsingand quality control of creative layouts.

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.

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✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 70%
Images: 500 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7
🏆 Mistral Small 3
Mistral AI
 $0.003424 Best Value ↓ 98% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.008841 (rounded ~ $0.01) ↓ 94.9% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.010872 ↓ 93.8% cheaper
#4 Gemini 2.5 Flash
Google
 $0.010872 ↓ 93.8% cheaper
#5 Mistral Large 3
Mistral AI
 $0.017370 (rounded ~ $0.02) ↓ 90.1% cheaper
#6 Gemini 3.8 Flash
Google
 $0.026243 (rounded ~ $0.03) ↓ 85% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.026524 (rounded ~ $0.03) ↓ 84.8% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.034615 (rounded ~ $0.03) ↓ 80.2% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.034990 (rounded ~ $0.03) ↓ 80% cheaper
#10 GPT-5.6 Luna
OpenAI
 $0.035365 (rounded ~ $0.04) ↓ 79.8% cheaper
#11 o4-mini
OpenAI
 $0.038077 (rounded ~ $0.04) ↓ 78.2% cheaper
#12 Gemini 3.6 Flash
Google
 $0.052485 (rounded ~ $0.05) ↓ 70% cheaper
#13 Gemini 3.5 Flash
Google
 $0.053048 (rounded ~ $0.05) ↓ 69.7% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.063201 (rounded ~ $0.06) ↓ 63.9% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.063201 (rounded ~ $0.06) ↓ 63.9% cheaper
#16 Claude Sonnet 5
Anthropic
 $0.069980 ↓ 60% cheaper
#17 Gemini 3.1 Flash
Google
 $0.070730 ↓ 59.6% cheaper
#18 GPT-5.6 Terra
OpenAI
 $0.088413 (rounded ~ $0.09) ↓ 49.5% cheaper
#19 Claude Sonnet 4.6
Anthropic
 $0.104970 (rounded ~ $0.10) ↓ 40% cheaper
#20 Claude Opus 5
Anthropic
 $0.174950 (rounded ~ $0.17) Same price
#21 Claude Opus 4.8
Anthropic
 $0.174950 (rounded ~ $0.17) Same price
#22 Claude Opus 4.6
Anthropic
 $0.174950 (rounded ~ $0.17) Same price
#23 Gemini 2.5 Pro
Google
 $0.176825 (rounded ~ $0.18) ↑ 1.1% more
#24 GPT-5.5 Instant
OpenAI
 $0.176825 (rounded ~ $0.18) ↑ 1.1% more
#25 GPT-5.6 Sol
OpenAI
 $0.176825 (rounded ~ $0.18) ↑ 1.1% more
#26 Grok 4.3
xAI
 $0.270920 ↑ 54.9% more
#27 Gemini 3.1 Pro
Google
 $0.278420 (rounded ~ $0.28) ↑ 59.1% more
#28 Claude Fable 5.1
Anthropic
 $0.302913 (rounded ~ $0.30) ↑ 73.1% more
#29 Claude Mythos 5.1
Anthropic
 $0.302913 (rounded ~ $0.30) ↑ 73.1% more
#30 o3 Deep Research
OpenAI
 $0.346150 (rounded ~ $0.35) ↑ 97.9% more
#31 GPT-5.4
OpenAI
 $0.348025 (rounded ~ $0.35) ↑ 98.9% more
#32 GPT-5.4 Thinking
OpenAI
 $0.348025 (rounded ~ $0.35) ↑ 98.9% more
#33 Claude Fable 5
Anthropic
 $0.349900 ↑ 100% more
#34 Claude Mythos 5
Anthropic
 $0.349900 ↑ 100% more
#35 o3 Pro
OpenAI
 $0.692300 (rounded ~ $0.69) ↑ 295.7% more
#36 GPT-5.5
OpenAI
 $0.696050 (rounded ~ $0.70) ↑ 297.9% more
#37 GPT-5.2 Pro
OpenAI
 $0.758415 (rounded ~ $0.76) ↑ 333.5% more
#38 GPT-6 Astra
OpenAI
 $1.399600 ↑ 700% more
#39 GPT-6 Astra
OpenAI
 $1.399600 ↑ 700% more
🏆

Mistral Small 3
Mistral AI

$0.003424
vs Claude Opus 4.7: ↓ 98%
🥈

Gemini 3.1 Flash Lite
Google

$0.008841 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 94.9%
🥉

Gemini 3.5 Flash-Lite
Google

$0.010872
vs Claude Opus 4.7: ↓ 93.8%
#4

Gemini 2.5 Flash
Google

$0.010872
vs Claude Opus 4.7: ↓ 93.8%
#5

Mistral Large 3
Mistral AI

$0.017370 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 90.1%
#6

Gemini 3.8 Flash
Google

$0.026243 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 85%
#7

GPT-5.4 mini
OpenAI

$0.026524 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 84.8%
#8

o4-mini Deep Research
OpenAI

$0.034615 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 80.2%
#9

Claude Haiku 4.5
Anthropic

$0.034990 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 80%
#10

GPT-5.6 Luna
OpenAI

$0.035365 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 79.8%
#11

o4-mini
OpenAI

$0.038077 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 78.2%
#12

Gemini 3.6 Flash
Google

$0.052485 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 70%
#13

Gemini 3.5 Flash
Google

$0.053048 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 69.7%
#14

GPT-5.3 Codex Spark
OpenAI

$0.063201 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 63.9%
#15

GPT-5.3 Instant
OpenAI

$0.063201 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 63.9%
#16

Claude Sonnet 5
Anthropic

$0.069980
vs Claude Opus 4.7: ↓ 60%
#17

Gemini 3.1 Flash
Google

$0.070730
vs Claude Opus 4.7: ↓ 59.6%
#18

GPT-5.6 Terra
OpenAI

$0.088413 (rounded ~ $0.09)
vs Claude Opus 4.7: ↓ 49.5%
#19

Claude Sonnet 4.6
Anthropic

$0.104970 (rounded ~ $0.10)
vs Claude Opus 4.7: ↓ 40%
#20

Claude Opus 5
Anthropic

$0.174950 (rounded ~ $0.17)
vs Claude Opus 4.7: Same
#21

Claude Opus 4.8
Anthropic

$0.174950 (rounded ~ $0.17)
vs Claude Opus 4.7: Same
#22

Claude Opus 4.6
Anthropic

$0.174950 (rounded ~ $0.17)
vs Claude Opus 4.7: Same
#23

Gemini 2.5 Pro
Google

$0.176825 (rounded ~ $0.18)
vs Claude Opus 4.7: ↑ 1.1%
#24

GPT-5.5 Instant
OpenAI

$0.176825 (rounded ~ $0.18)
vs Claude Opus 4.7: ↑ 1.1%
#25

GPT-5.6 Sol
OpenAI

$0.176825 (rounded ~ $0.18)
vs Claude Opus 4.7: ↑ 1.1%
#26

Grok 4.3
xAI

$0.270920
vs Claude Opus 4.7: ↑ 54.9%
#27

Gemini 3.1 Pro
Google

$0.278420 (rounded ~ $0.28)
vs Claude Opus 4.7: ↑ 59.1%
#28

Claude Fable 5.1
Anthropic

$0.302913 (rounded ~ $0.30)
vs Claude Opus 4.7: ↑ 73.1%
#29

Claude Mythos 5.1
Anthropic

$0.302913 (rounded ~ $0.30)
vs Claude Opus 4.7: ↑ 73.1%
#30

o3 Deep Research
OpenAI

$0.346150 (rounded ~ $0.35)
vs Claude Opus 4.7: ↑ 97.9%
#31

GPT-5.4
OpenAI

$0.348025 (rounded ~ $0.35)
vs Claude Opus 4.7: ↑ 98.9%
#32

GPT-5.4 Thinking
OpenAI

$0.348025 (rounded ~ $0.35)
vs Claude Opus 4.7: ↑ 98.9%
#33

Claude Fable 5
Anthropic

$0.349900
vs Claude Opus 4.7: ↑ 100%
#34

Claude Mythos 5
Anthropic

$0.349900
vs Claude Opus 4.7: ↑ 100%
#35

o3 Pro
OpenAI

$0.692300 (rounded ~ $0.69)
vs Claude Opus 4.7: ↑ 295.7%
#36

GPT-5.5
OpenAI

$0.696050 (rounded ~ $0.70)
vs Claude Opus 4.7: ↑ 297.9%
#37

GPT-5.2 Pro
OpenAI

$0.758415 (rounded ~ $0.76)
vs Claude Opus 4.7: ↑ 333.5%
#38

GPT-6 Astra
OpenAI

$1.399600
vs Claude Opus 4.7: ↑ 700%
#39

GPT-6 Astra
OpenAI

$1.399600
vs Claude Opus 4.7: ↑ 700%
✨ 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.

Visual Reasoning for Pre-Production

Claude Opus 4.7 represents a significant jump in visual acuity compared to its predecessors, making it a critical tool for storyboarding workflows where you need to extract precise meaning from layout sketches or interpret complex scene geometry. The model’s capacity to process images at a much higher resolution allows it to parse dense, hand-drawn panels that earlier models often misidentified or ignored entirely.

For financial analysts and project managers overseeing creative production, this capability shift changes the cost-benefit analysis of AI-assisted pre-production. Rather than spending hours clarifying shot lists, you can feed Claude Opus 4.7 high-resolution storyboards and receive accurate scene descriptions, camera instructions, and lighting cues. It excels at maintaining internal consistency across a batch of 500 images, identifying where characters might drift off-model or where the spatial relationship between subjects breaks down.

The real value of Opus 4.7 lies in its agentic ability to verify its own analysis. If you are building an automated pipeline, the model acts as a QA layer, flagging inconsistencies in your storyboard panels before they ever reach the generation phase. This reduces downstream rework and ensures that your final video output is structurally sound. When your workflow depends on high-density visual reasoning—reading text-dense schematic diagrams or fine-grained artistic details—Opus 4.7 is currently the industry standard for ensuring your AI-generated storyboards are production-ready.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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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