Scale Comparison: Claude Sonnet 4.6 vs Gemini 3.1 Pro for 500K-Token Archival Analysis

Claude Sonnet 4.6 vs Gemini 3.1 Pro
Complete Comparison: 500,000 input tokens × 4,000 output tokens
Comparison Mode
⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Claude Sonnet 4.6
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (30% cached)
Input Tokens 500,000 500,000
Output Tokens 4,000 4,000
Cost Breakdown
Input Cost $1.500000Best $2.000000Worst
Output Cost $0.060000Best $0.072000 (rounded ~ $0.07)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.155000 (rounded ~ $1.16) Best Value $1.532000 (rounded ~ $1.53) Most Expensive
Processing Time 19 minutes, 36.18 seconds Fastest 22 minutes, 3.18 seconds Slowest
Tokens per Second 450Fastest 400Slowest
Time to First Token 200ms Best 220ms Worst
Cost per 1K tokens $0.002292Best $0.003040Worst
Tokens per Dollar 436,364Best Value 328,982Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $3.000000Best $4.000000Worst
Output Cost / 1M (Base) $15.000000Best $18.000000Worst
Input Cost / 1M (Optimized) $3.000000Best
Optimizations: No optimizations applied
$4.000000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $15.000000Best
Optimizations: No optimizations applied
$18.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
30
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
Use Batch API (50% discount)
30%
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

$1.155000 Total Cost
$1.050000 Input Cost
$0.060000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
504,000Total Tokens
$0.002292Cost per 1K
436,364Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

19m 36s Processing Time
450 Tokens/Second
200ms Time to First Token
429 Effective Speed

Model Comparison

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Model Information

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🔄 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 Sonnet 4.6 Anthropic 1000000

$1.155000 (rounded ~ $1.16)
Total Cost
⚡ 30% 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) $1.560000 Input: $1.500000
Output: $0.060000
Optimized Cost $1.155000 (rounded ~ $1.16) Input: $1.500000
Output: $0.060000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.405000 (rounded ~ $0.41) 26.0% discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 4,000 output tokens:

  • Input Cost: $1.500000
  • Output Cost: $0.060000
  • Total Cost: $1.155000 (rounded ~ $1.16)
  • Cost per 1K tokens: $0.002292
  • Tokens per dollar: 436,364 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 19 minutes, 36.18 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 429 tokens/second (temperature-adjusted)

Best Use Cases

Comparing mid-to-high tier models for deep analysis of long-form archival text and curriculum synthesis.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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 2000000

$1.532000 (rounded ~ $1.53)
Total Cost
⚡ 30% Cached 🔧 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) $2.072000 (rounded ~ $2.07) Input: $2.000000
Output: $0.072000 (rounded ~ $0.07)
Optimized Cost $1.532000 (rounded ~ $1.53) Input: $2.000000
Output: $0.072000 (rounded ~ $0.07)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.540000 26.1% discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 4,000 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $0.072000 (rounded ~ $0.07)
  • Total Cost: $1.532000 (rounded ~ $1.53)
  • Cost per 1K tokens: $0.003040
  • Tokens per dollar: 328,982 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 22 minutes, 3.18 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Comparing mid-to-high tier models for deep analysis of long-form archival text and curriculum synthesis.

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 Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 4,000
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.097250 (rounded ~ $0.10) Best Value ↓ 91.6% cheaper ↓ 93.7% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.119500 ↓ 89.7% cheaper ↓ 92.2% cheaper
🥉 Gemini 3.1 Flash
Google
 $0.389000 (rounded ~ $0.39) ↓ 66.3% cheaper ↓ 74.6% cheaper
#4 Grok 4.3
xAI
 $0.466250 (rounded ~ $0.47) ↓ 59.6% cheaper ↓ 69.6% cheaper
#5 Gemini 3.5 Flash
Google
 $0.583500 (rounded ~ $0.58) ↓ 49.5% cheaper ↓ 61.9% cheaper
#6 Grok 4.20 Beta
xAI
 $0.754000 (rounded ~ $0.75) ↓ 34.7% cheaper ↓ 50.8% cheaper
#7 Gemini 2.5 Pro
Google
 $0.972500 (rounded ~ $0.97) ↓ 15.8% cheaper ↓ 36.5% cheaper
#8 Gemini 3.1 Pro
Google
 $1.532000 (rounded ~ $1.53) ↑ 32.6% more Same price
#9 GPT-5.4
OpenAI
 $1.915000 (rounded ~ $1.92) ↑ 65.8% more ↑ 25% more
#10 GPT-5.4 Thinking
OpenAI
 $1.915000 (rounded ~ $1.92) ↑ 65.8% more ↑ 25% more
#11 Claude Opus 4.7
Anthropic
 $1.925000 (rounded ~ $1.93) ↑ 66.7% more ↑ 25.7% more
#12 Claude Opus 4.8
Anthropic
 $1.925000 (rounded ~ $1.93) ↑ 66.7% more ↑ 25.7% more
#13 Claude Opus 4.6
Anthropic
 $1.925000 (rounded ~ $1.93) ↑ 66.7% more ↑ 25.7% more
#14 GPT-5.5
OpenAI
 $3.830000 ↑ 231.6% more ↑ 150% more
#15 GPT-5.5
OpenAI
 $3.830000 ↑ 231.6% more ↑ 150% more
🏆

Gemini 3.1 Flash Lite
Google

$0.097250 (rounded ~ $0.10)
vs Claude Sonnet 4.6: ↓ 91.6%
vs Gemini 3.1 Pro: ↓ 93.7%
🥈

Gemini 2.5 Flash
Google

$0.119500
vs Claude Sonnet 4.6: ↓ 89.7%
vs Gemini 3.1 Pro: ↓ 92.2%
🥉

Gemini 3.1 Flash
Google

$0.389000 (rounded ~ $0.39)
vs Claude Sonnet 4.6: ↓ 66.3%
vs Gemini 3.1 Pro: ↓ 74.6%
#4

Grok 4.3
xAI

$0.466250 (rounded ~ $0.47)
vs Claude Sonnet 4.6: ↓ 59.6%
vs Gemini 3.1 Pro: ↓ 69.6%
#5

Gemini 3.5 Flash
Google

$0.583500 (rounded ~ $0.58)
vs Claude Sonnet 4.6: ↓ 49.5%
vs Gemini 3.1 Pro: ↓ 61.9%
#6

Grok 4.20 Beta
xAI

$0.754000 (rounded ~ $0.75)
vs Claude Sonnet 4.6: ↓ 34.7%
vs Gemini 3.1 Pro: ↓ 50.8%
#7

Gemini 2.5 Pro
Google

$0.972500 (rounded ~ $0.97)
vs Claude Sonnet 4.6: ↓ 15.8%
vs Gemini 3.1 Pro: ↓ 36.5%
#8

Gemini 3.1 Pro
Google

$1.532000 (rounded ~ $1.53)
vs Claude Sonnet 4.6: ↑ 32.6%
vs Gemini 3.1 Pro: Same
#9

GPT-5.4
OpenAI

$1.915000 (rounded ~ $1.92)
vs Claude Sonnet 4.6: ↑ 65.8%
vs Gemini 3.1 Pro: ↑ 25%
#10

GPT-5.4 Thinking
OpenAI

$1.915000 (rounded ~ $1.92)
vs Claude Sonnet 4.6: ↑ 65.8%
vs Gemini 3.1 Pro: ↑ 25%
#11

Claude Opus 4.7
Anthropic

$1.925000 (rounded ~ $1.93)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 25.7%
#12

Claude Opus 4.8
Anthropic

$1.925000 (rounded ~ $1.93)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 25.7%
#13

Claude Opus 4.6
Anthropic

$1.925000 (rounded ~ $1.93)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 25.7%
#14

GPT-5.5
OpenAI

$3.830000
vs Claude Sonnet 4.6: ↑ 231.6%
vs Gemini 3.1 Pro: ↑ 150%
#15

GPT-5.5
OpenAI

$3.830000
vs Claude Sonnet 4.6: ↑ 231.6%
vs Gemini 3.1 Pro: ↑ 150%
✨ 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.

Deep Context for Historical Curricula

Deep analysis of archival text requires more than just high-speed processing; it demands a model capable of understanding historical context and thematic nuance across large volumes of data. When analyzing 500,000 tokens of extracted archival text, Claude Sonnet 4.6 and Gemini 3.1 Pro offer distinct qualitative advantages for educational content creators.

Claude Sonnet 4.6 is frequently favored by educators for its sophisticated reasoning and its ability to synthesize complex archival material into cohesive, human-like lesson plans. Its output often requires less manual editing, as it maintains a pedagogical tone that is well-suited for course content. Conversely, Gemini 3.1 Pro is the heavyweight champion of context windows, allowing creators to ingest massive amounts of data in a single request without losing track of details from the beginning of the document. This makes Gemini particularly useful for cross-referencing multiple archival sources or creating comprehensive indices. While Sonnet provides superior creative synthesis, Gemini offers a more robust framework for handling extremely long-form archival research where data retrieval from the distant past of the prompt is critical.

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.