Claude Sonnet 4.6 vs Gemini 3.1 Pro: 100K-Token Context for Enterprise Support Pipelines

Claude Sonnet 4.6 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 Sonnet 4.6
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 $0.075000 (rounded ~ $0.08)Best $0.100000Worst
Output Cost $0.007500 (rounded ~ $0.01)Best $0.012000 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.028500 (rounded ~ $0.03) Best Value $0.040000 Most Expensive
Processing Time 4 minutes, 2.71 seconds Fastest 4 minutes, 33.03 seconds Slowest
Tokens per Second 450Fastest 400Slowest
Time to First Token 200ms Best 220ms Worst
Cost per 1K tokens $0.000279Best $0.000392Worst
Tokens per Dollar 3,578,947Best Value 2,550,000Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Best $1.000000Worst
Output Cost / 1M (Base) $3.750000Best $6.000000Worst
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Best
Optimizations: 50.0% batch
$0.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Best
Optimizations: 50.0% batch
$3.000000Worst
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 Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 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

$0.028500 Total Cost
$0.015000 Input Cost
$0.007500 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
$0.000279Cost per 1K
3,578,947Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

4m 2s Processing Time
450 Tokens/Second
200ms Time to First Token
421 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 Sonnet 4.6 Anthropic 1000000

$0.028500 (rounded ~ $0.03)
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) $0.082500 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.028500 (rounded ~ $0.03) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.054000 (rounded ~ $0.05) 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: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.028500 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.000279
  • Tokens per dollar: 3,578,947 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: 4 minutes, 2.71 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for enterprise RAG pipelines requiring a balance between high-fidelity text reasoning and multimodal data integration.

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

$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: 2000000 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

Ideal for enterprise RAG pipelines requiring a balance between high-fidelity text reasoning and multimodal data integration.

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: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $0.000850 Best Value ↓ 97% cheaper ↓ 97.9% cheaper
🥈 Grok Code Fast 1
xAI
 $0.002150 ↓ 92.5% cheaper ↓ 94.6% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.002500 ↓ 91.2% cheaper ↓ 93.8% cheaper
#4 Gemini 2.5 Flash
Google
 $0.003350 ↓ 88.2% cheaper ↓ 91.6% cheaper
#5 Mistral Large 3
Mistral AI
 $0.004250 ↓ 85.1% cheaper ↓ 89.4% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.007500 (rounded ~ $0.01) ↓ 73.7% cheaper ↓ 81.3% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.009000 (rounded ~ $0.01) ↓ 68.4% cheaper ↓ 77.5% cheaper
#8 Claude Haiku 4.5
Anthropic
 $0.009500 ↓ 66.7% cheaper ↓ 76.3% cheaper
#9 o4-mini
OpenAI
 $0.009900 ↓ 65.3% cheaper ↓ 75.3% cheaper
#10 Grok 4.3
xAI
 $0.010000 ↓ 64.9% cheaper ↓ 75% cheaper
#11 Gemini 3.1 Flash
Google
 $0.010000 ↓ 64.9% cheaper ↓ 75% cheaper
#12 Gemini 3.5 Flash
Google
 $0.015000 (rounded ~ $0.02) ↓ 47.4% cheaper ↓ 62.5% cheaper
#13 Grok 4.20 Beta
xAI
 $0.017000 (rounded ~ $0.02) ↓ 40.4% cheaper ↓ 57.5% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.019250 ↓ 32.5% cheaper ↓ 51.9% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.019250 ↓ 32.5% cheaper ↓ 51.9% cheaper
#16 Gemini 2.5 Pro
Google
 $0.027500 (rounded ~ $0.03) ↓ 3.5% cheaper ↓ 31.3% cheaper
#17 Gemini 3.1 Pro
Google
 $0.040000 ↑ 40.4% more Same price
#18 Claude Opus 4.7
Anthropic
 $0.047500 (rounded ~ $0.05) ↑ 66.7% more ↑ 18.8% more
#19 Claude Opus 4.8
Anthropic
 $0.047500 (rounded ~ $0.05) ↑ 66.7% more ↑ 18.8% more
#20 Claude Opus 4.6
Anthropic
 $0.047500 (rounded ~ $0.05) ↑ 66.7% more ↑ 18.8% more
#21 GPT-5.4
OpenAI
 $0.050000 ↑ 75.4% more ↑ 25% more
#22 GPT-5.4 Thinking
OpenAI
 $0.050000 ↑ 75.4% more ↑ 25% more
#23 GPT-5.5 Instant
OpenAI
 $0.050000 ↑ 75.4% more ↑ 25% more
#24 o3 Deep Research
OpenAI
 $0.090000 ↑ 215.8% more ↑ 125% more
#25 GPT-5.5
OpenAI
 $0.100000 ↑ 250.9% more ↑ 150% more
#26 o3 Pro
OpenAI
 $0.180000 ↑ 531.6% more ↑ 350% more
#27 GPT-5.2 Pro
OpenAI
 $0.231000 ↑ 710.5% more ↑ 477.5% more
#28 GPT-5.2 Pro
OpenAI
 $0.231000 ↑ 710.5% more ↑ 477.5% more
🏆

Mistral Small 3
Mistral AI

$0.000850
vs Claude Sonnet 4.6: ↓ 97%
vs Gemini 3.1 Pro: ↓ 97.9%
🥈

Grok Code Fast 1
xAI

$0.002150
vs Claude Sonnet 4.6: ↓ 92.5%
vs Gemini 3.1 Pro: ↓ 94.6%
🥉

Gemini 3.1 Flash Lite
Google

$0.002500
vs Claude Sonnet 4.6: ↓ 91.2%
vs Gemini 3.1 Pro: ↓ 93.8%
#4

Gemini 2.5 Flash
Google

$0.003350
vs Claude Sonnet 4.6: ↓ 88.2%
vs Gemini 3.1 Pro: ↓ 91.6%
#5

Mistral Large 3
Mistral AI

$0.004250
vs Claude Sonnet 4.6: ↓ 85.1%
vs Gemini 3.1 Pro: ↓ 89.4%
#6

GPT-5.4 mini
OpenAI

$0.007500 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 73.7%
vs Gemini 3.1 Pro: ↓ 81.3%
#7

o4-mini Deep Research
OpenAI

$0.009000 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 68.4%
vs Gemini 3.1 Pro: ↓ 77.5%
#8

Claude Haiku 4.5
Anthropic

$0.009500
vs Claude Sonnet 4.6: ↓ 66.7%
vs Gemini 3.1 Pro: ↓ 76.3%
#9

o4-mini
OpenAI

$0.009900
vs Claude Sonnet 4.6: ↓ 65.3%
vs Gemini 3.1 Pro: ↓ 75.3%
#10

Grok 4.3
xAI

$0.010000
vs Claude Sonnet 4.6: ↓ 64.9%
vs Gemini 3.1 Pro: ↓ 75%
#11

Gemini 3.1 Flash
Google

$0.010000
vs Claude Sonnet 4.6: ↓ 64.9%
vs Gemini 3.1 Pro: ↓ 75%
#12

Gemini 3.5 Flash
Google

$0.015000 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 47.4%
vs Gemini 3.1 Pro: ↓ 62.5%
#13

Grok 4.20 Beta
xAI

$0.017000 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 40.4%
vs Gemini 3.1 Pro: ↓ 57.5%
#14

GPT-5.3 Codex Spark
OpenAI

$0.019250
vs Claude Sonnet 4.6: ↓ 32.5%
vs Gemini 3.1 Pro: ↓ 51.9%
#15

GPT-5.3 Instant
OpenAI

$0.019250
vs Claude Sonnet 4.6: ↓ 32.5%
vs Gemini 3.1 Pro: ↓ 51.9%
#16

Gemini 2.5 Pro
Google

$0.027500 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 3.5%
vs Gemini 3.1 Pro: ↓ 31.3%
#17

Gemini 3.1 Pro
Google

$0.040000
vs Claude Sonnet 4.6: ↑ 40.4%
vs Gemini 3.1 Pro: Same
#18

Claude Opus 4.7
Anthropic

$0.047500 (rounded ~ $0.05)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 18.8%
#19

Claude Opus 4.8
Anthropic

$0.047500 (rounded ~ $0.05)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 18.8%
#20

Claude Opus 4.6
Anthropic

$0.047500 (rounded ~ $0.05)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Pro: ↑ 18.8%
#21

GPT-5.4
OpenAI

$0.050000
vs Claude Sonnet 4.6: ↑ 75.4%
vs Gemini 3.1 Pro: ↑ 25%
#22

GPT-5.4 Thinking
OpenAI

$0.050000
vs Claude Sonnet 4.6: ↑ 75.4%
vs Gemini 3.1 Pro: ↑ 25%
#23

GPT-5.5 Instant
OpenAI

$0.050000
vs Claude Sonnet 4.6: ↑ 75.4%
vs Gemini 3.1 Pro: ↑ 25%
#24

o3 Deep Research
OpenAI

$0.090000
vs Claude Sonnet 4.6: ↑ 215.8%
vs Gemini 3.1 Pro: ↑ 125%
#25

GPT-5.5
OpenAI

$0.100000
vs Claude Sonnet 4.6: ↑ 250.9%
vs Gemini 3.1 Pro: ↑ 150%
#26

o3 Pro
OpenAI

$0.180000
vs Claude Sonnet 4.6: ↑ 531.6%
vs Gemini 3.1 Pro: ↑ 350%
#27

GPT-5.2 Pro
OpenAI

$0.231000
vs Claude Sonnet 4.6: ↑ 710.5%
vs Gemini 3.1 Pro: ↑ 477.5%
#28

GPT-5.2 Pro
OpenAI

$0.231000
vs Claude Sonnet 4.6: ↑ 710.5%
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.

Optimizing Enterprise Support Architectures

For high-volume customer support operations handling millions of interactions monthly, selecting the right model depends on the balance between structured reasoning and multimodal retrieval. Claude Sonnet 4.6 is frequently favored for multi-turn conversations where strict adherence to brand voice and complex, multi-step instructions is paramount. Its capability to maintain logical consistency across long threads makes it a staple for automated ticket resolution.

Conversely, Gemini 3.1 Pro provides a significant advantage in pipelines that require deep multimodal integration. If your support workflow involves analyzing user-uploaded documents, screenshots of billing issues, or even video troubleshooting guides, its native multimodal architecture reduces the complexity of downstream orchestration. While Claude excels in pure textual reasoning, Gemini handles diverse data inputs with lower friction.

Decision Factors for Large-Scale Deployments

  • Orchestration Complexity: Claude Sonnet 4.6 is often easier to integrate into existing agentic frameworks that rely on specific, deterministic output formats.
  • Multimodal RAG: Gemini 3.1 Pro is the preferred choice when your RAG system must index and retrieve information from non-textual assets like PDF manuals or diagnostic imagery.
  • System Latency: In 100M+ token monthly environments, evaluating the time-to-first-token is critical. Both models perform competitively, but your choice should align with whether your pipeline is bound by reasoning tasks or information retrieval.

For enterprises managing 100M to 1B tokens monthly, testing both in a canary deployment is essential to measure how each handles your specific RAG retrieval patterns.

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.