Claude Haiku 4.6 vs Gemini 3.1 Flash for 20K-Token Tutoring Sessions

Claude Haiku 4.6 is no longer available

This model has been withdrawn by its provider and can no longer be called. The figures below are kept as a historical record and do not reflect a currently purchasable rate.

See current Claude Haiku 4.5 pricing →  ·  All recent pricing changes

Claude Haiku 4.6 vs Gemini 3.1 Flash
Complete Comparison: 20,000 input tokens × 1,000 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Claude Haiku 4.6
Anthropic
Gemini 3.1 Flash
Google
Calculation Results (Current Inputs) (20% cached)
Input Tokens 20,000 20,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.005000 (rounded ~ $0.01)Best $0.010000Worst
Output Cost $0.001250Best $0.003000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.005350 (rounded ~ $0.01) Best Value $0.011200 (rounded ~ $0.01) Most Expensive
Processing Time 26.62 seconds Fastest 28.27 seconds Slowest
Tokens per Second 850Fastest 800Slowest
Time to First Token 75ms Best 100ms Worst
Cost per 1K tokens $0.000255Best $0.000533Worst
Tokens per Dollar 3,925,234Best Value 1,875,000Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.250000Best $0.500000Worst
Output Cost / 1M (Base) $1.250000Best $3.000000Worst
Input Cost / 1M (Optimized) $0.250000Best
Optimizations: No optimizations applied
$0.500000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $1.250000Best
Optimizations: No optimizations applied
$3.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
20
✓ 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 Haiku 4.6
AnthropicMax Context: 200,000 tokens
$0.25 / $1.25 per 1M tokens
▼
▼
Use Batch API (50% discount)
20%
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

$0.005350 Total Cost
$0.004000 Input Cost
$0.001250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
21,000Total Tokens
$0.000255Cost per 1K
3,925,234Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

26.62s Processing Time
850 Tokens/Second
75ms Time to First Token
794 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 Haiku 4.6 Anthropic

$0.005350 (rounded ~ $0.01)
Total Cost
⚡ 20% 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) $0.006250 (rounded ~ $0.01) Input: $0.005000 (rounded ~ $0.01)
Output: $0.001250
Optimized Cost $0.005350 (rounded ~ $0.01) Input: $0.005000 (rounded ~ $0.01)
Output: $0.001250
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000900 14.4% discount

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.005000 (rounded ~ $0.01)
  • Output Cost: $0.001250
  • Total Cost: $0.005350 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000255
  • Tokens per dollar: 3,925,234 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 75ms time to first token:

  • Processing Time: 26.62 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

High-speedcost-effective tutoring interactions requiring strong instruction following.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Haiku 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

$0.011200 (rounded ~ $0.01)
Total Cost
⚡ 20% 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) $0.013000 (rounded ~ $0.01) Input: $0.010000
Output: $0.003000
Optimized Cost $0.011200 (rounded ~ $0.01) Input: $0.010000
Output: $0.003000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001800 13.8% discount

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.010000
  • Output Cost: $0.003000
  • Total Cost: $0.011200 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000533
  • Tokens per dollar: 1,875,000 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: 28.27 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

High-speedcost-effective tutoring interactions requiring strong instruction following.

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 Haiku 4.6
📋 Active Input Parameters
Input Tokens: 20,000
Output Tokens: 1,000
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Haiku 4.6 vs Gemini 3.1 Flash
🏆 Mistral Small 3
Mistral AI
 $0.001940 Best Value ↓ 63.7% cheaper ↓ 82.7% cheaper
🥈 Grok Code Fast 1
xAI
 $0.004780 ↓ 10.7% cheaper ↓ 57.3% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.005600 (rounded ~ $0.01) ↑ 4.7% more ↓ 50% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.007420 (rounded ~ $0.01) ↑ 38.7% more ↓ 33.8% cheaper
#5 Gemini 2.5 Flash
Google
 $0.007420 (rounded ~ $0.01) ↑ 38.7% more ↓ 33.8% cheaper
#6 Mistral Large 3
Mistral AI
 $0.009700 ↑ 81.3% more ↓ 13.4% cheaper
#7 Gemini 3.1 Flash
Google
 $0.011200 (rounded ~ $0.01) ↑ 109.3% more Same price
#8 Kimi K2.5
Moonshot AI
 $0.013008 (rounded ~ $0.01) ↑ 143.1% more ↑ 16.1% more
#9 Gemini 3.8 Flash
Google
 $0.016050 (rounded ~ $0.02) ↑ 200% more ↑ 43.3% more
#10 GPT-5.4 mini
OpenAI
 $0.016800 (rounded ~ $0.02) ↑ 214% more ↑ 50% more
#11 Grok Build 0.1
xAI
 $0.018400 (rounded ~ $0.02) ↑ 243.9% more ↑ 64.3% more
#12 Kimi K2.6
Moonshot AI
 $0.019846 ↑ 271% more ↑ 77.2% more
#13 Kimi K2.7 Code
Moonshot AI
 $0.019846 ↑ 271% more ↑ 77.2% more
#14 o4-mini Deep Research
OpenAI
 $0.020400 ↑ 281.3% more ↑ 82.1% more
#15 Claude Haiku 4.5
Anthropic
 $0.021400 (rounded ~ $0.02) ↑ 300% more ↑ 91.1% more
#16 GPT-5.6 Luna
OpenAI
 $0.022400 (rounded ~ $0.02) ↑ 318.7% more ↑ 100% more
#17 o4-mini
OpenAI
 $0.022440 (rounded ~ $0.02) ↑ 319.4% more ↑ 100.4% more
#18 Grok 4.3
xAI
 $0.023000 (rounded ~ $0.02) ↑ 329.9% more ↑ 105.4% more
#19 Grok 4.20 Beta
xAI
 $0.023000 (rounded ~ $0.02) ↑ 329.9% more ↑ 105.4% more
#20 Gemini 2.5 Pro
Google
 $0.030500 ↑ 470.1% more ↑ 172.3% more
#21 Gemini 3.6 Flash
Google
 $0.032100 (rounded ~ $0.03) ↑ 500% more ↑ 186.6% more
#22 Gemini 3.5 Flash
Google
 $0.033600 (rounded ~ $0.03) ↑ 528% more ↑ 200% more
#23 Grok 4.6
xAI
 $0.038800 (rounded ~ $0.04) ↑ 625.2% more ↑ 246.4% more
#24 Grok 4.5
xAI
 $0.038800 (rounded ~ $0.04) ↑ 625.2% more ↑ 246.4% more
#25 GPT-5.3 Codex Spark
OpenAI
 $0.042700 (rounded ~ $0.04) ↑ 698.1% more ↑ 281.3% more
#26 GPT-5.3 Instant
OpenAI
 $0.042700 (rounded ~ $0.04) ↑ 698.1% more ↑ 281.3% more
#27 Claude Sonnet 5
Anthropic
 $0.042800 (rounded ~ $0.04) ↑ 700% more ↑ 282.1% more
#28 Gemini 3.1 Pro
Google
 $0.044800 (rounded ~ $0.04) ↑ 737.4% more ↑ 300% more
#29 GPT-5.4
OpenAI
 $0.056000 (rounded ~ $0.06) ↑ 946.7% more ↑ 400% more
#30 GPT-5.4 Thinking
OpenAI
 $0.056000 (rounded ~ $0.06) ↑ 946.7% more ↑ 400% more
#31 GPT-5.6 Terra
OpenAI
 $0.056000 (rounded ~ $0.06) ↑ 946.7% more ↑ 400% more
#32 Claude Sonnet 4.6
Anthropic
 $0.064200 (rounded ~ $0.06) ↑ 1100% more ↑ 473.2% more
#33 Claude Opus 4.7
Anthropic
 $0.107000 (rounded ~ $0.11) ↑ 1900% more ↑ 855.4% more
#34 Claude Opus 5
Anthropic
 $0.107000 (rounded ~ $0.11) ↑ 1900% more ↑ 855.4% more
#35 Claude Opus 4.8
Anthropic
 $0.107000 (rounded ~ $0.11) ↑ 1900% more ↑ 855.4% more
#36 Claude Opus 4.6
Anthropic
 $0.107000 (rounded ~ $0.11) ↑ 1900% more ↑ 855.4% more
#37 GPT-5.5
OpenAI
 $0.112000 (rounded ~ $0.11) ↑ 1993.5% more ↑ 900% more
#38 GPT-5.5 Instant
OpenAI
 $0.112000 (rounded ~ $0.11) ↑ 1993.5% more ↑ 900% more
#39 GPT-5.6 Sol
OpenAI
 $0.112000 (rounded ~ $0.11) ↑ 1993.5% more ↑ 900% more
#40 o3 Deep Research
OpenAI
 $0.204000 (rounded ~ $0.20) ↑ 3713.1% more ↑ 1721.4% more
#41 Claude Fable 5.1
Anthropic
 $0.211000 (rounded ~ $0.21) ↑ 3843.9% more ↑ 1783.9% more
#42 Claude Mythos 5.1
Anthropic
 $0.211000 (rounded ~ $0.21) ↑ 3843.9% more ↑ 1783.9% more
#43 Claude Fable 5
Anthropic
 $0.214000 (rounded ~ $0.21) ↑ 3900% more ↑ 1810.7% more
#44 Claude Mythos 5
Anthropic
 $0.214000 (rounded ~ $0.21) ↑ 3900% more ↑ 1810.7% more
#45 GPT-6 Astra
OpenAI
 $0.214000 (rounded ~ $0.21) ↑ 3900% more ↑ 1810.7% more
#46 o3 Pro
OpenAI
 $0.408000 (rounded ~ $0.41) ↑ 7526.2% more ↑ 3542.9% more
#47 GPT-5.2 Pro
OpenAI
 $0.512400 (rounded ~ $0.51) ↑ 9477.6% more ↑ 4475% more
#48 GPT-5.2 Pro
OpenAI
 $0.512400 (rounded ~ $0.51) ↑ 9477.6% more ↑ 4475% more
🏆

Mistral Small 3
Mistral AI

$0.001940
vs Claude Haiku 4.6: ↓ 63.7%
vs Gemini 3.1 Flash: ↓ 82.7%
🥈

Grok Code Fast 1
xAI

$0.004780
vs Claude Haiku 4.6: ↓ 10.7%
vs Gemini 3.1 Flash: ↓ 57.3%
🥉

Gemini 3.1 Flash Lite
Google

$0.005600 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 4.7%
vs Gemini 3.1 Flash: ↓ 50%
#4

Gemini 3.5 Flash-Lite
Google

$0.007420 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 38.7%
vs Gemini 3.1 Flash: ↓ 33.8%
#5

Gemini 2.5 Flash
Google

$0.007420 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 38.7%
vs Gemini 3.1 Flash: ↓ 33.8%
#6

Mistral Large 3
Mistral AI

$0.009700
vs Claude Haiku 4.6: ↑ 81.3%
vs Gemini 3.1 Flash: ↓ 13.4%
#7

Gemini 3.1 Flash
Google

$0.011200 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 109.3%
vs Gemini 3.1 Flash: Same
#8

Kimi K2.5
Moonshot AI

$0.013008 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 143.1%
vs Gemini 3.1 Flash: ↑ 16.1%
#9

Gemini 3.8 Flash
Google

$0.016050 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 200%
vs Gemini 3.1 Flash: ↑ 43.3%
#10

GPT-5.4 mini
OpenAI

$0.016800 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 214%
vs Gemini 3.1 Flash: ↑ 50%
#11

Grok Build 0.1
xAI

$0.018400 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 243.9%
vs Gemini 3.1 Flash: ↑ 64.3%
#12

Kimi K2.6
Moonshot AI

$0.019846
vs Claude Haiku 4.6: ↑ 271%
vs Gemini 3.1 Flash: ↑ 77.2%
#13

Kimi K2.7 Code
Moonshot AI

$0.019846
vs Claude Haiku 4.6: ↑ 271%
vs Gemini 3.1 Flash: ↑ 77.2%
#14

o4-mini Deep Research
OpenAI

$0.020400
vs Claude Haiku 4.6: ↑ 281.3%
vs Gemini 3.1 Flash: ↑ 82.1%
#15

Claude Haiku 4.5
Anthropic

$0.021400 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 300%
vs Gemini 3.1 Flash: ↑ 91.1%
#16

GPT-5.6 Luna
OpenAI

$0.022400 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 318.7%
vs Gemini 3.1 Flash: ↑ 100%
#17

o4-mini
OpenAI

$0.022440 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 319.4%
vs Gemini 3.1 Flash: ↑ 100.4%
#18

Grok 4.3
xAI

$0.023000 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 329.9%
vs Gemini 3.1 Flash: ↑ 105.4%
#19

Grok 4.20 Beta
xAI

$0.023000 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 329.9%
vs Gemini 3.1 Flash: ↑ 105.4%
#20

Gemini 2.5 Pro
Google

$0.030500
vs Claude Haiku 4.6: ↑ 470.1%
vs Gemini 3.1 Flash: ↑ 172.3%
#21

Gemini 3.6 Flash
Google

$0.032100 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 500%
vs Gemini 3.1 Flash: ↑ 186.6%
#22

Gemini 3.5 Flash
Google

$0.033600 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 528%
vs Gemini 3.1 Flash: ↑ 200%
#23

Grok 4.6
xAI

$0.038800 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 625.2%
vs Gemini 3.1 Flash: ↑ 246.4%
#24

Grok 4.5
xAI

$0.038800 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 625.2%
vs Gemini 3.1 Flash: ↑ 246.4%
#25

GPT-5.3 Codex Spark
OpenAI

$0.042700 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 698.1%
vs Gemini 3.1 Flash: ↑ 281.3%
#26

GPT-5.3 Instant
OpenAI

$0.042700 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 698.1%
vs Gemini 3.1 Flash: ↑ 281.3%
#27

Claude Sonnet 5
Anthropic

$0.042800 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 700%
vs Gemini 3.1 Flash: ↑ 282.1%
#28

Gemini 3.1 Pro
Google

$0.044800 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 737.4%
vs Gemini 3.1 Flash: ↑ 300%
#29

GPT-5.4
OpenAI

$0.056000 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 946.7%
vs Gemini 3.1 Flash: ↑ 400%
#30

GPT-5.4 Thinking
OpenAI

$0.056000 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 946.7%
vs Gemini 3.1 Flash: ↑ 400%
#31

GPT-5.6 Terra
OpenAI

$0.056000 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 946.7%
vs Gemini 3.1 Flash: ↑ 400%
#32

Claude Sonnet 4.6
Anthropic

$0.064200 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 1100%
vs Gemini 3.1 Flash: ↑ 473.2%
#33

Claude Opus 4.7
Anthropic

$0.107000 (rounded ~ $0.11)
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash: ↑ 855.4%
#34

Claude Opus 5
Anthropic

$0.107000 (rounded ~ $0.11)
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash: ↑ 855.4%
#35

Claude Opus 4.8
Anthropic

$0.107000 (rounded ~ $0.11)
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash: ↑ 855.4%
#36

Claude Opus 4.6
Anthropic

$0.107000 (rounded ~ $0.11)
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash: ↑ 855.4%
#37

GPT-5.5
OpenAI

$0.112000 (rounded ~ $0.11)
vs Claude Haiku 4.6: ↑ 1993.5%
vs Gemini 3.1 Flash: ↑ 900%
#38

GPT-5.5 Instant
OpenAI

$0.112000 (rounded ~ $0.11)
vs Claude Haiku 4.6: ↑ 1993.5%
vs Gemini 3.1 Flash: ↑ 900%
#39

GPT-5.6 Sol
OpenAI

$0.112000 (rounded ~ $0.11)
vs Claude Haiku 4.6: ↑ 1993.5%
vs Gemini 3.1 Flash: ↑ 900%
#40

o3 Deep Research
OpenAI

$0.204000 (rounded ~ $0.20)
vs Claude Haiku 4.6: ↑ 3713.1%
vs Gemini 3.1 Flash: ↑ 1721.4%
#41

Claude Fable 5.1
Anthropic

$0.211000 (rounded ~ $0.21)
vs Claude Haiku 4.6: ↑ 3843.9%
vs Gemini 3.1 Flash: ↑ 1783.9%
#42

Claude Mythos 5.1
Anthropic

$0.211000 (rounded ~ $0.21)
vs Claude Haiku 4.6: ↑ 3843.9%
vs Gemini 3.1 Flash: ↑ 1783.9%
#43

Claude Fable 5
Anthropic

$0.214000 (rounded ~ $0.21)
vs Claude Haiku 4.6: ↑ 3900%
vs Gemini 3.1 Flash: ↑ 1810.7%
#44

Claude Mythos 5
Anthropic

$0.214000 (rounded ~ $0.21)
vs Claude Haiku 4.6: ↑ 3900%
vs Gemini 3.1 Flash: ↑ 1810.7%
#45

GPT-6 Astra
OpenAI

$0.214000 (rounded ~ $0.21)
vs Claude Haiku 4.6: ↑ 3900%
vs Gemini 3.1 Flash: ↑ 1810.7%
#46

o3 Pro
OpenAI

$0.408000 (rounded ~ $0.41)
vs Claude Haiku 4.6: ↑ 7526.2%
vs Gemini 3.1 Flash: ↑ 3542.9%
#47

GPT-5.2 Pro
OpenAI

$0.512400 (rounded ~ $0.51)
vs Claude Haiku 4.6: ↑ 9477.6%
vs Gemini 3.1 Flash: ↑ 4475%
#48

GPT-5.2 Pro
OpenAI

$0.512400 (rounded ~ $0.51)
vs Claude Haiku 4.6: ↑ 9477.6%
vs Gemini 3.1 Flash: ↑ 4475%
✨ 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.

Choosing the Right Tutor Model

When building AI-powered tutoring systems, the choice between Claude Haiku 4.6 and Gemini 3.1 Flash often comes down to balancing instructional precision against raw interaction speed. For a typical 30-minute tutoring session involving roughly 20K tokens of context, both models offer distinct advantages that can significantly shape the student experience.

Claude Haiku 4.6 has built a reputation for superior instruction following. In an educational context, this is critical; you need a model that adheres strictly to pedagogical constraints—like avoiding direct answers in favor of Socratic questioning—without drifting into conversational tangents. Its consistency makes it a reliable partner for structured lesson plans where adherence to a specific teaching framework is non-negotiable.

Conversely, Gemini 3.1 Flash excels in highly dynamic, multimodal environments. If your tutoring sessions frequently incorporate live document analysis, real-time feedback on student-uploaded diagrams, or complex interactive components, its architecture is built to handle that throughput with lower latency. The model is particularly effective for sessions that require rapid-fire Q&A or where the model must synthesize diverse data streams instantly to maintain engagement.

For your 20K-token tutoring pipeline, consider the primary interaction style. If you prioritize deep, controlled pedagogical guidance, Claude often provides the more reliable baseline for instruction-heavy tasks. If your sessions are highly interactive and data-heavy, the multimodal efficiency of Gemini will likely deliver a more fluid, responsive user experience. Both models are highly optimized for these scenarios, allowing you to scale your tutoring services without compromising on quality.

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 Haiku 4.6 currently costs $0.25 / $1.25 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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