Claude Sonnet 4.6 vs Gemini 3.1 Flash for 100,000-Token RAG Inferences

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5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 Sonnet 5 pricing →  ·  All recent pricing changes

Claude Sonnet 4.6 vs Gemini 3.1 Flash
Complete Comparison: 100,000 input tokens × 500 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 Claude Sonnet 4.6
Anthropic
Gemini 3.1 Flash
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.075000 (rounded ~ $0.08)Worst $0.025000 (rounded ~ $0.03)Best
Output Cost $0.001875Worst $0.000750Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.043125 (rounded ~ $0.04) Most Expensive $0.014500 (rounded ~ $0.01) Best Value
Processing Time 3 minutes, 59.15 seconds Slowest 2 minutes, 14.60 seconds Fastest
Tokens per Second 450Slowest 800Fastest
Time to First Token 200ms Worst 100ms Best
Cost per 1K tokens $0.000429Worst $0.000144Best
Tokens per Dollar 2,330,435Worst Value 6,931,034Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.250000Best
Output Cost / 1M (Base) $3.750000Worst $1.500000Best
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Worst
Optimizations: 50.0% batch
$0.125000 (rounded ~ $0.13)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Worst
Optimizations: 50.0% batch
$0.750000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

Select AI Model

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 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

$0.043125 Total Cost
$0.037500 Input Cost
$0.001875 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
100,500Total Tokens
$0.000429Cost per 1K
2,330,435Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 59s 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

$0.043125 (rounded ~ $0.04)
Total Cost
⚡ 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) $0.076875 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.001875
Optimized Cost $0.043125 (rounded ~ $0.04) Input: $0.075000 (rounded ~ $0.08)
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 43.9% 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 500 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.001875
  • Total Cost: $0.043125 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000429
  • Tokens per dollar: 2,330,435 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: 3 minutes, 59.15 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Claude Sonnet 4.6 excels in complex reasoning and extraction for technical RAG pipelineswhile Gemini 3.1 Flash offers superior throughput for high-volumecost-optimized enterprise document retrieval.

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 Flash Google 1000000

$0.014500 (rounded ~ $0.01)
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) $0.025750 (rounded ~ $0.03) Input: $0.025000 (rounded ~ $0.03)
Output: $0.000750
Optimized Cost $0.014500 (rounded ~ $0.01) Input: $0.025000 (rounded ~ $0.03)
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.011250 (rounded ~ $0.01) 43.7% 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 500 output tokens:

  • Input Cost: $0.025000 (rounded ~ $0.03)
  • Output Cost: $0.000750
  • Total Cost: $0.014500 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000144
  • Tokens per dollar: 6,931,034 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 2 minutes, 14.60 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

Claude Sonnet 4.6 excels in complex reasoning and extraction for technical RAG pipelineswhile Gemini 3.1 Flash offers superior throughput for high-volumecost-optimized enterprise document retrieval.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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.

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: 500
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Gemini 3.1 Flash
🏆 Mistral Small 3
Mistral AI
 $0.001413 Best Value ↓ 96.7% cheaper ↓ 90.3% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.003625 ↓ 91.6% cheaper ↓ 75% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.004438 ↓ 89.7% cheaper ↓ 69.4% cheaper
#4 Gemini 2.5 Flash
Google
 $0.004438 ↓ 89.7% cheaper ↓ 69.4% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007063 (rounded ~ $0.01) ↓ 83.6% cheaper ↓ 51.3% cheaper
#6 Gemini 3.8 Flash
Google
 $0.010781 ↓ 75% cheaper ↓ 25.6% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.010875 ↓ 74.8% cheaper ↓ 25% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.014250 (rounded ~ $0.01) ↓ 67% cheaper ↓ 1.7% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.014375 (rounded ~ $0.01) ↓ 66.7% cheaper ↓ 0.9% cheaper
#10 Gemini 3.1 Flash
Google
 $0.014500 (rounded ~ $0.01) ↓ 66.4% cheaper Same price
#11 GPT-5.6 Luna
OpenAI
 $0.014500 (rounded ~ $0.01) ↓ 66.4% cheaper Same price
#12 o4-mini
OpenAI
 $0.015675 (rounded ~ $0.02) ↓ 63.7% cheaper ↑ 8.1% more
#13 Gemini 3.6 Flash
Google
 $0.021563 (rounded ~ $0.02) ↓ 50% cheaper ↑ 48.7% more
#14 Gemini 3.5 Flash
Google
 $0.021750 (rounded ~ $0.02) ↓ 49.6% cheaper ↑ 50% more
#15 GPT-5.3 Codex Spark
OpenAI
 $0.025813 (rounded ~ $0.03) ↓ 40.1% cheaper ↑ 78% more
#16 GPT-5.3 Instant
OpenAI
 $0.025813 (rounded ~ $0.03) ↓ 40.1% cheaper ↑ 78% more
#17 Claude Sonnet 5
Anthropic
 $0.028750 (rounded ~ $0.03) ↓ 33.3% cheaper ↑ 98.3% more
#18 GPT-5.6 Terra
OpenAI
 $0.036250 (rounded ~ $0.04) ↓ 15.9% cheaper ↑ 150% more
#19 Gemini 2.5 Pro
Google
 $0.036875 (rounded ~ $0.04) ↓ 14.5% cheaper ↑ 154.3% more
#20 Grok 4.3
xAI
 $0.056000 (rounded ~ $0.06) ↑ 29.9% more ↑ 286.2% more
#21 Grok 4.20 Beta
xAI
 $0.056000 (rounded ~ $0.06) ↑ 29.9% more ↑ 286.2% more
#22 Gemini 3.1 Pro
Google
 $0.058000 (rounded ~ $0.06) ↑ 34.5% more ↑ 300% more
#23 Claude Opus 4.7
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 66.7% more ↑ 395.7% more
#24 Claude Opus 5
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 66.7% more ↑ 395.7% more
#25 Claude Opus 4.8
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 66.7% more ↑ 395.7% more
#26 Claude Opus 4.6
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 66.7% more ↑ 395.7% more
#27 GPT-5.4
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 68.1% more ↑ 400% more
#28 GPT-5.4 Thinking
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 68.1% more ↑ 400% more
#29 GPT-5.5 Instant
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 68.1% more ↑ 400% more
#30 GPT-5.6 Sol
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 68.1% more ↑ 400% more
#31 Claude Fable 5.1
Anthropic
 $0.134375 (rounded ~ $0.13) ↑ 211.6% more ↑ 826.7% more
#32 Claude Mythos 5.1
Anthropic
 $0.134375 (rounded ~ $0.13) ↑ 211.6% more ↑ 826.7% more
#33 o3 Deep Research
OpenAI
 $0.142500 (rounded ~ $0.14) ↑ 230.4% more ↑ 882.8% more
#34 Claude Fable 5
Anthropic
 $0.143750 (rounded ~ $0.14) ↑ 233.3% more ↑ 891.4% more
#35 Claude Mythos 5
Anthropic
 $0.143750 (rounded ~ $0.14) ↑ 233.3% more ↑ 891.4% more
#36 GPT-5.5
OpenAI
 $0.145000 (rounded ~ $0.15) ↑ 236.2% more ↑ 900% more
#37 o3 Pro
OpenAI
 $0.285000 (rounded ~ $0.29) ↑ 560.9% more ↑ 1865.5% more
#38 GPT-6 Astra
OpenAI
 $0.287500 (rounded ~ $0.29) ↑ 566.7% more ↑ 1882.8% more
#39 GPT-5.2 Pro
OpenAI
 $0.309750 ↑ 618.3% more ↑ 2036.2% more
#40 GPT-5.2 Pro
OpenAI
 $0.309750 ↑ 618.3% more ↑ 2036.2% more
🏆

Mistral Small 3
Mistral AI

$0.001413
vs Claude Sonnet 4.6: ↓ 96.7%
vs Gemini 3.1 Flash: ↓ 90.3%
🥈

Gemini 3.1 Flash Lite
Google

$0.003625
vs Claude Sonnet 4.6: ↓ 91.6%
vs Gemini 3.1 Flash: ↓ 75%
🥉

Gemini 3.5 Flash-Lite
Google

$0.004438
vs Claude Sonnet 4.6: ↓ 89.7%
vs Gemini 3.1 Flash: ↓ 69.4%
#4

Gemini 2.5 Flash
Google

$0.004438
vs Claude Sonnet 4.6: ↓ 89.7%
vs Gemini 3.1 Flash: ↓ 69.4%
#5

Mistral Large 3
Mistral AI

$0.007063 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 83.6%
vs Gemini 3.1 Flash: ↓ 51.3%
#6

Gemini 3.8 Flash
Google

$0.010781
vs Claude Sonnet 4.6: ↓ 75%
vs Gemini 3.1 Flash: ↓ 25.6%
#7

GPT-5.4 mini
OpenAI

$0.010875
vs Claude Sonnet 4.6: ↓ 74.8%
vs Gemini 3.1 Flash: ↓ 25%
#8

o4-mini Deep Research
OpenAI

$0.014250 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 67%
vs Gemini 3.1 Flash: ↓ 1.7%
#9

Claude Haiku 4.5
Anthropic

$0.014375 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 66.7%
vs Gemini 3.1 Flash: ↓ 0.9%
#10

Gemini 3.1 Flash
Google

$0.014500 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 66.4%
vs Gemini 3.1 Flash: Same
#11

GPT-5.6 Luna
OpenAI

$0.014500 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 66.4%
vs Gemini 3.1 Flash: Same
#12

o4-mini
OpenAI

$0.015675 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 63.7%
vs Gemini 3.1 Flash: ↑ 8.1%
#13

Gemini 3.6 Flash
Google

$0.021563 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 50%
vs Gemini 3.1 Flash: ↑ 48.7%
#14

Gemini 3.5 Flash
Google

$0.021750 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 49.6%
vs Gemini 3.1 Flash: ↑ 50%
#15

GPT-5.3 Codex Spark
OpenAI

$0.025813 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 40.1%
vs Gemini 3.1 Flash: ↑ 78%
#16

GPT-5.3 Instant
OpenAI

$0.025813 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 40.1%
vs Gemini 3.1 Flash: ↑ 78%
#17

Claude Sonnet 5
Anthropic

$0.028750 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 33.3%
vs Gemini 3.1 Flash: ↑ 98.3%
#18

GPT-5.6 Terra
OpenAI

$0.036250 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 15.9%
vs Gemini 3.1 Flash: ↑ 150%
#19

Gemini 2.5 Pro
Google

$0.036875 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 14.5%
vs Gemini 3.1 Flash: ↑ 154.3%
#20

Grok 4.3
xAI

$0.056000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 29.9%
vs Gemini 3.1 Flash: ↑ 286.2%
#21

Grok 4.20 Beta
xAI

$0.056000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 29.9%
vs Gemini 3.1 Flash: ↑ 286.2%
#22

Gemini 3.1 Pro
Google

$0.058000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 34.5%
vs Gemini 3.1 Flash: ↑ 300%
#23

Claude Opus 4.7
Anthropic

$0.071875 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Flash: ↑ 395.7%
#24

Claude Opus 5
Anthropic

$0.071875 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Flash: ↑ 395.7%
#25

Claude Opus 4.8
Anthropic

$0.071875 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Flash: ↑ 395.7%
#26

Claude Opus 4.6
Anthropic

$0.071875 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.1 Flash: ↑ 395.7%
#27

GPT-5.4
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 68.1%
vs Gemini 3.1 Flash: ↑ 400%
#28

GPT-5.4 Thinking
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 68.1%
vs Gemini 3.1 Flash: ↑ 400%
#29

GPT-5.5 Instant
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 68.1%
vs Gemini 3.1 Flash: ↑ 400%
#30

GPT-5.6 Sol
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 68.1%
vs Gemini 3.1 Flash: ↑ 400%
#31

Claude Fable 5.1
Anthropic

$0.134375 (rounded ~ $0.13)
vs Claude Sonnet 4.6: ↑ 211.6%
vs Gemini 3.1 Flash: ↑ 826.7%
#32

Claude Mythos 5.1
Anthropic

$0.134375 (rounded ~ $0.13)
vs Claude Sonnet 4.6: ↑ 211.6%
vs Gemini 3.1 Flash: ↑ 826.7%
#33

o3 Deep Research
OpenAI

$0.142500 (rounded ~ $0.14)
vs Claude Sonnet 4.6: ↑ 230.4%
vs Gemini 3.1 Flash: ↑ 882.8%
#34

Claude Fable 5
Anthropic

$0.143750 (rounded ~ $0.14)
vs Claude Sonnet 4.6: ↑ 233.3%
vs Gemini 3.1 Flash: ↑ 891.4%
#35

Claude Mythos 5
Anthropic

$0.143750 (rounded ~ $0.14)
vs Claude Sonnet 4.6: ↑ 233.3%
vs Gemini 3.1 Flash: ↑ 891.4%
#36

GPT-5.5
OpenAI

$0.145000 (rounded ~ $0.15)
vs Claude Sonnet 4.6: ↑ 236.2%
vs Gemini 3.1 Flash: ↑ 900%
#37

o3 Pro
OpenAI

$0.285000 (rounded ~ $0.29)
vs Claude Sonnet 4.6: ↑ 560.9%
vs Gemini 3.1 Flash: ↑ 1865.5%
#38

GPT-6 Astra
OpenAI

$0.287500 (rounded ~ $0.29)
vs Claude Sonnet 4.6: ↑ 566.7%
vs Gemini 3.1 Flash: ↑ 1882.8%
#39

GPT-5.2 Pro
OpenAI

$0.309750
vs Claude Sonnet 4.6: ↑ 618.3%
vs Gemini 3.1 Flash: ↑ 2036.2%
#40

GPT-5.2 Pro
OpenAI

$0.309750
vs Claude Sonnet 4.6: ↑ 618.3%
vs Gemini 3.1 Flash: ↑ 2036.2%
✨ 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.

For enterprise teams building Knowledge Base Q&A agents, the choice between Claude Sonnet 4.6 and Gemini 3.1 Flash often hinges on the trade-off between reasoning depth and throughput. In a typical RAG pipeline where you are injecting 50-plus documents into a context window, the model’s ability to maintain focus amidst high noise is critical.

Claude Sonnet 4.6 has established itself as the standard for RAG implementations requiring high-fidelity instruction following. When your knowledge base contains dense, technical, or ambiguous documentation, Sonnet 4.6 excels at synthesis without hallucinating details. It is particularly effective for multi-step reasoning tasks where the agent must correlate information across disparate documents before formulating an answer. For teams prioritizing accuracy in complex domains, this model provides the necessary nuance.

Conversely, Gemini 3.1 Flash is engineered for scale. Its architecture is optimized for low-latency, high-volume retrieval tasks, making it a compelling choice for internal Q&A systems serving thousands of employees daily. Where Sonnet 4.6 prioritizes precision, Gemini 3.1 Flash prioritizes efficiency and speed. It handles massive throughput gracefully, which is essential if your RAG pipeline serves hundreds of concurrent users or requires near-instant responses. For standardized support queries that rely on clear-cut documentation, the performance gains of the Flash architecture often outweigh the marginal benefits of deeper reasoning models. Choosing between these depends on whether your priority is the complexity of the information extracted or the sheer volume of retrieval requests handled per minute.

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 Sonnet 4.6 currently costs $3.00 / $15.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →