Gemini 3.6 Flash and Claude Opus 5: 1 Million Token Batch Pricing Comparison

Gemini 3.6 Flash vs Claude Opus 5
Complete Comparison: 1,000,000 input tokens × 2,000 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 Gemini 3.6 Flash
Google
Claude Opus 5
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.375000 (rounded ~ $0.38)Best $1.250000Worst
Output Cost $0.003750Best $0.012500 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.210000 Best Value $0.700000 Most Expensive
Processing Time 58 minutes, 46.96 seconds Fastest 59 minutes, 33.98 seconds Slowest
Tokens per Second 304Fastest 300Slowest
Time to First Token 120ms Best 300ms Worst
Cost per 1K tokens $0.000210Best $0.000699Worst
Tokens per Dollar 4,771,429Best Value 1,431,429Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Best $1.250000Worst
Output Cost / 1M (Base) $1.875000 (rounded ~ $1.88)Best $6.250000Worst
Input Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.937500 (rounded ~ $0.94)Best
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Gemini 3.6 Flash
GoogleMax Context: 1,048,576 tokens
$1.5 / $7.5 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

$0.210000 Total Cost
$0.187500 Input Cost
$0.003750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,002,000Total Tokens
$0.000210Cost per 1K
4,771,429Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

58m 46s Processing Time
304 Tokens/Second
120ms Time to First Token
284 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.

Gemini 3.6 Flash Google 1048576

$0.210000
Total Cost
⚡ 50% 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) $0.378750 (rounded ~ $0.38) Input: $0.375000 (rounded ~ $0.38)
Output: $0.003750
Optimized Cost $0.210000 Input: $0.375000 (rounded ~ $0.38)
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.168750 (rounded ~ $0.17) 44.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.375000 (rounded ~ $0.38)
  • Output Cost: $0.003750
  • Total Cost: $0.210000
  • Cost per 1K tokens: $0.000210
  • Tokens per dollar: 4,771,429 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 304 tokens per second and 120ms time to first token:

  • Processing Time: 58 minutes, 46.96 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 304 tokens/second
  • Effective Throughput: 284 tokens/second (temperature-adjusted)

Best Use Cases

Use Gemini 3.6 Flash for high-throughputlatency-sensitive RAG applications. Choose Claude Opus 5 for complex reasoning and pedagogical accuracy in tutoring.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.6 Flash. 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.

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Claude Opus 5 Anthropic 1000000

$0.700000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 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) $1.262500 (rounded ~ $1.26) Input: $1.250000
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.700000 Input: $1.250000
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.562500 (rounded ~ $0.56) 44.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.700000
  • Cost per 1K tokens: $0.000699
  • Tokens per dollar: 1,431,429 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 300ms time to first token:

  • Processing Time: 59 minutes, 33.98 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

Use Gemini 3.6 Flash for high-throughputlatency-sensitive RAG applications. Choose Claude Opus 5 for complex reasoning and pedagogical accuracy in tutoring.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 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 Gemini 3.6 Flash
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.6 Flash vs Claude Opus 5
🏆 Gemini 3.5 Flash-Lite
Google
 $0.042500 (rounded ~ $0.04) Best Value ↓ 79.8% cheaper ↓ 93.9% cheaper
🥈 Gemini 3.8 Flash
Google
 $0.105000 (rounded ~ $0.11) ↓ 50% cheaper ↓ 85% cheaper
🥉 Gemini 2.5 Pro
Google
 $0.702500 (rounded ~ $0.70) ↑ 234.5% more ↑ 0.4% more
#4 GPT-5.4
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 565.5% more ↑ 99.6% more
#5 GPT-5.4 Thinking
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 565.5% more ↑ 99.6% more
#6 GPT-6 Astra
OpenAI
 $5.600000 ↑ 2566.7% more ↑ 700% more
#7 GPT-6 Astra
OpenAI
 $5.600000 ↑ 2566.7% more ↑ 700% more
🏆

Gemini 3.5 Flash-Lite
Google

$0.042500 (rounded ~ $0.04)
vs Gemini 3.6 Flash: ↓ 79.8%
vs Claude Opus 5: ↓ 93.9%
🥈

Gemini 3.8 Flash
Google

$0.105000 (rounded ~ $0.11)
vs Gemini 3.6 Flash: ↓ 50%
vs Claude Opus 5: ↓ 85%
🥉

Gemini 2.5 Pro
Google

$0.702500 (rounded ~ $0.70)
vs Gemini 3.6 Flash: ↑ 234.5%
vs Claude Opus 5: ↑ 0.4%
#4

GPT-5.4
OpenAI

$1.397500 (rounded ~ $1.40)
vs Gemini 3.6 Flash: ↑ 565.5%
vs Claude Opus 5: ↑ 99.6%
#5

GPT-5.4 Thinking
OpenAI

$1.397500 (rounded ~ $1.40)
vs Gemini 3.6 Flash: ↑ 565.5%
vs Claude Opus 5: ↑ 99.6%
#6

GPT-6 Astra
OpenAI

$5.600000
vs Gemini 3.6 Flash: ↑ 2566.7%
vs Claude Opus 5: ↑ 700%
#7

GPT-6 Astra
OpenAI

$5.600000
vs Gemini 3.6 Flash: ↑ 2566.7%
vs Claude Opus 5: ↑ 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.

Scaling AI-driven educational platforms to millions of users requires balancing model performance with inference latency. For high-volume tutoring platforms processing thousands of concurrent 30-minute sessions, the choice between Gemini 3.6 Flash and Claude Opus 5 hinges on your specific pedagogical requirements and infrastructure needs.

Gemini 3.6 Flash is engineered for high throughput and efficiency. Its massive context window and optimized architecture make it an ideal backbone for RAG-heavy systems where maintaining comprehensive student history and curriculum data is necessary. If your tutoring application relies on rapid, conversational feedback loops and requires cost-optimized inference at a massive scale, this model provides the necessary performance without sacrificing reliability.

Conversely, Claude Opus 5 excels in scenarios demanding deep reasoning and complex multi-step instructions. For specialized educational use cases—such as advanced STEM problem solving, Socratic method tutoring, or detailed feedback on student essays—the reasoning capabilities of Opus 5 are superior. When the accuracy of the pedagogical approach is the primary differentiator for your product, opting for this higher-capability model is often the better strategic investment.

Enterprise architects should evaluate these models based on the nature of their content. If your platform serves as a general-purpose assistant, the throughput of Gemini is difficult to beat. However, for specialized academic domains where nuance and logical step-by-step verification are paramount, integrating Claude Opus 5 often leads to higher user satisfaction and better long-term learning outcomes.

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

Gemini 3.6 Flash currently costs $1.50 / $7.50 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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