Cost per 10,000 Tokens: Claude Haiku 4.6 vs. Gemini 3.1 Flash Lite for Support Bots

Claude Haiku 4.6 vs Gemini 3.1 Flash Lite
Complete Comparison: 8,000 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)
Comparison Criteria Claude Haiku 4.6
Anthropic
Gemini 3.1 Flash Lite
Google
Calculation Results (Current Inputs) (80% cached)
Input Tokens 8,000 8,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.002000 $0.002000
Output Cost $0.002500Best $0.003000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.003060 Best Value $0.003560 Most Expensive
Processing Time 12.77 seconds Slowest 10.88 seconds Fastest
Tokens per Second 850Slowest 1,000Fastest
Time to First Token 75ms Best 80ms Worst
Cost per 1K tokens $0.000306Best $0.000356Worst
Tokens per Dollar 3,267,974Best Value 2,808,989Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.250000 $0.250000
Output Cost / 1M (Base) $1.250000Best $1.500000Worst
Input Cost / 1M (Optimized) $0.250000
Optimizations: No optimizations applied
$0.250000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $1.250000Best
Optimizations: No optimizations applied
$1.500000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
OCR 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 Haiku 4.6
AnthropicMax Context: 200,000 tokens
$0.25 / $1.25 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

$0.003060 Total Cost
$0.000400 Input Cost
$0.002500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
10,000Total Tokens
$0.000306Cost per 1K
3,267,974Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

12.77s 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

$0.003060
Total Cost
⚡ 80% 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) $0.004500 Input: $0.002000
Output: $0.002500
Optimized Cost $0.003060 Input: $0.002000
Output: $0.002500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001440 32.0% discount

Detailed Cost Analysis (from Plugin)

For 8,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.002000
  • Output Cost: $0.002500
  • Total Cost: $0.003060
  • Cost per 1K tokens: $0.000306
  • Tokens per dollar: 3,267,974 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: 12.77 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for cost-sensitive SaaS applications needing fastreliable conversational AI for customer support with moderate context requirements.

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 Lite Google 1000000

$0.003560
Total Cost
⚡ 80% Cached 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.005000 (rounded ~ $0.01) Input: $0.002000
Output: $0.003000
Optimized Cost $0.003560 Input: $0.002000
Output: $0.003000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001440 28.8% discount

Detailed Cost Analysis (from Plugin)

For 8,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.002000
  • Output Cost: $0.003000
  • Total Cost: $0.003560
  • Cost per 1K tokens: $0.000356
  • Tokens per dollar: 2,808,989 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

  • Processing Time: 10.88 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 935 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for cost-sensitive SaaS applications needing fastreliable conversational AI for customer support with moderate context requirements.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash Lite. 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: 8,000
Output Tokens: 2,000
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Haiku 4.6 vs Gemini 3.1 Flash Lite
🏆 Mistral Small 3
Mistral AI
 $0.000824 Best Value ↓ 73.1% cheaper ↓ 76.9% cheaper
🥈 Grok Code Fast 1
xAI
 $0.003448 ↑ 12.7% more ↓ 3.1% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.003560 ↑ 16.3% more Same price
#4 Mistral Large 3
Mistral AI
 $0.004120 ↑ 34.6% more ↑ 15.7% more
#5 Gemini 2.5 Flash
Google
 $0.005672 (rounded ~ $0.01) ↑ 85.4% more ↑ 59.3% more
#6 Gemini 3.1 Flash
Google
 $0.007120 (rounded ~ $0.01) ↑ 132.7% more ↑ 100% more
#7 Kimi K2.5
Moonshot AI
 $0.007613 (rounded ~ $0.01) ↑ 148.8% more ↑ 113.8% more
#8 Grok 4.3
xAI
 $0.007800 (rounded ~ $0.01) ↑ 154.9% more ↑ 119.1% more
#9 o4-mini Deep Research
OpenAI
 $0.010240 ↑ 234.6% more ↑ 187.6% more
#10 Kimi K2.6
Moonshot AI
 $0.010554 ↑ 244.9% more ↑ 196.4% more
#11 GPT-5.4 mini
OpenAI
 $0.010680 ↑ 249% more ↑ 200% more
#12 o4-mini
OpenAI
 $0.011264 (rounded ~ $0.01) ↑ 268.1% more ↑ 216.4% more
#13 Claude Haiku 4.5
Anthropic
 $0.012240 (rounded ~ $0.01) ↑ 300% more ↑ 243.8% more
#14 Grok 4.20 Beta
xAI
 $0.016480 (rounded ~ $0.02) ↑ 438.6% more ↑ 362.9% more
#15 Gemini 3.5 Flash
Google
 $0.021360 (rounded ~ $0.02) ↑ 598% more ↑ 500% more
#16 Gemini 2.5 Pro
Google
 $0.022800 (rounded ~ $0.02) ↑ 645.1% more ↑ 540.4% more
#17 Gemini 3.1 Pro
Google
 $0.028480 (rounded ~ $0.03) ↑ 830.7% more ↑ 700% more
#18 GPT-5.3 Codex Spark
OpenAI
 $0.031920 (rounded ~ $0.03) ↑ 943.1% more ↑ 796.6% more
#19 GPT-5.3 Instant
OpenAI
 $0.031920 (rounded ~ $0.03) ↑ 943.1% more ↑ 796.6% more
#20 GPT-5.4
OpenAI
 $0.035600 (rounded ~ $0.04) ↑ 1063.4% more ↑ 900% more
#21 GPT-5.4 Thinking
OpenAI
 $0.035600 (rounded ~ $0.04) ↑ 1063.4% more ↑ 900% more
#22 Claude Sonnet 4.6
Anthropic
 $0.036720 (rounded ~ $0.04) ↑ 1100% more ↑ 931.5% more
#23 Claude Opus 4.7
Anthropic
 $0.061200 (rounded ~ $0.06) ↑ 1900% more ↑ 1619.1% more
#24 Claude Opus 4.8
Anthropic
 $0.061200 (rounded ~ $0.06) ↑ 1900% more ↑ 1619.1% more
#25 Claude Opus 4.6
Anthropic
 $0.061200 (rounded ~ $0.06) ↑ 1900% more ↑ 1619.1% more
#26 GPT-5.5
OpenAI
 $0.071200 (rounded ~ $0.07) ↑ 2226.8% more ↑ 1900% more
#27 GPT-5.5 Instant
OpenAI
 $0.071200 (rounded ~ $0.07) ↑ 2226.8% more ↑ 1900% more
#28 o3 Deep Research
OpenAI
 $0.102400 (rounded ~ $0.10) ↑ 3246.4% more ↑ 2776.4% more
#29 o3 Pro
OpenAI
 $0.204800 (rounded ~ $0.20) ↑ 6592.8% more ↑ 5652.8% more
#30 GPT-5.2 Pro
OpenAI
 $0.383040 (rounded ~ $0.38) ↑ 12417.6% more ↑ 10659.6% more
#31 GPT-5.2 Pro
OpenAI
 $0.383040 (rounded ~ $0.38) ↑ 12417.6% more ↑ 10659.6% more
🏆

Mistral Small 3
Mistral AI

$0.000824
vs Claude Haiku 4.6: ↓ 73.1%
vs Gemini 3.1 Flash Lite: ↓ 76.9%
🥈

Grok Code Fast 1
xAI

$0.003448
vs Claude Haiku 4.6: ↑ 12.7%
vs Gemini 3.1 Flash Lite: ↓ 3.1%
🥉

Gemini 3.1 Flash Lite
Google

$0.003560
vs Claude Haiku 4.6: ↑ 16.3%
vs Gemini 3.1 Flash Lite: Same
#4

Mistral Large 3
Mistral AI

$0.004120
vs Claude Haiku 4.6: ↑ 34.6%
vs Gemini 3.1 Flash Lite: ↑ 15.7%
#5

Gemini 2.5 Flash
Google

$0.005672 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 85.4%
vs Gemini 3.1 Flash Lite: ↑ 59.3%
#6

Gemini 3.1 Flash
Google

$0.007120 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 132.7%
vs Gemini 3.1 Flash Lite: ↑ 100%
#7

Kimi K2.5
Moonshot AI

$0.007613 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 148.8%
vs Gemini 3.1 Flash Lite: ↑ 113.8%
#8

Grok 4.3
xAI

$0.007800 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 154.9%
vs Gemini 3.1 Flash Lite: ↑ 119.1%
#9

o4-mini Deep Research
OpenAI

$0.010240
vs Claude Haiku 4.6: ↑ 234.6%
vs Gemini 3.1 Flash Lite: ↑ 187.6%
#10

Kimi K2.6
Moonshot AI

$0.010554
vs Claude Haiku 4.6: ↑ 244.9%
vs Gemini 3.1 Flash Lite: ↑ 196.4%
#11

GPT-5.4 mini
OpenAI

$0.010680
vs Claude Haiku 4.6: ↑ 249%
vs Gemini 3.1 Flash Lite: ↑ 200%
#12

o4-mini
OpenAI

$0.011264 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 268.1%
vs Gemini 3.1 Flash Lite: ↑ 216.4%
#13

Claude Haiku 4.5
Anthropic

$0.012240 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 300%
vs Gemini 3.1 Flash Lite: ↑ 243.8%
#14

Grok 4.20 Beta
xAI

$0.016480 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 438.6%
vs Gemini 3.1 Flash Lite: ↑ 362.9%
#15

Gemini 3.5 Flash
Google

$0.021360 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 598%
vs Gemini 3.1 Flash Lite: ↑ 500%
#16

Gemini 2.5 Pro
Google

$0.022800 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 645.1%
vs Gemini 3.1 Flash Lite: ↑ 540.4%
#17

Gemini 3.1 Pro
Google

$0.028480 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 830.7%
vs Gemini 3.1 Flash Lite: ↑ 700%
#18

GPT-5.3 Codex Spark
OpenAI

$0.031920 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 943.1%
vs Gemini 3.1 Flash Lite: ↑ 796.6%
#19

GPT-5.3 Instant
OpenAI

$0.031920 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 943.1%
vs Gemini 3.1 Flash Lite: ↑ 796.6%
#20

GPT-5.4
OpenAI

$0.035600 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 1063.4%
vs Gemini 3.1 Flash Lite: ↑ 900%
#21

GPT-5.4 Thinking
OpenAI

$0.035600 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 1063.4%
vs Gemini 3.1 Flash Lite: ↑ 900%
#22

Claude Sonnet 4.6
Anthropic

$0.036720 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 1100%
vs Gemini 3.1 Flash Lite: ↑ 931.5%
#23

Claude Opus 4.7
Anthropic

$0.061200 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash Lite: ↑ 1619.1%
#24

Claude Opus 4.8
Anthropic

$0.061200 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash Lite: ↑ 1619.1%
#25

Claude Opus 4.6
Anthropic

$0.061200 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash Lite: ↑ 1619.1%
#26

GPT-5.5
OpenAI

$0.071200 (rounded ~ $0.07)
vs Claude Haiku 4.6: ↑ 2226.8%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#27

GPT-5.5 Instant
OpenAI

$0.071200 (rounded ~ $0.07)
vs Claude Haiku 4.6: ↑ 2226.8%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#28

o3 Deep Research
OpenAI

$0.102400 (rounded ~ $0.10)
vs Claude Haiku 4.6: ↑ 3246.4%
vs Gemini 3.1 Flash Lite: ↑ 2776.4%
#29

o3 Pro
OpenAI

$0.204800 (rounded ~ $0.20)
vs Claude Haiku 4.6: ↑ 6592.8%
vs Gemini 3.1 Flash Lite: ↑ 5652.8%
#30

GPT-5.2 Pro
OpenAI

$0.383040 (rounded ~ $0.38)
vs Claude Haiku 4.6: ↑ 12417.6%
vs Gemini 3.1 Flash Lite: ↑ 10659.6%
#31

GPT-5.2 Pro
OpenAI

$0.383040 (rounded ~ $0.38)
vs Claude Haiku 4.6: ↑ 12417.6%
vs Gemini 3.1 Flash Lite: ↑ 10659.6%
✨ 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 AI for Customer Support

For solo founders building customer support chatbots, balancing cost and conversational quality is paramount. Claude Haiku 4.6 and Gemini 3.1 Flash Lite represent compelling options at the more affordable end of the spectrum, both capable of handling multi-turn interactions effectively.

Claude Haiku is celebrated for its impressive speed, making it ideal for scenarios where near-instantaneous responses are critical to customer satisfaction. Its efficiency helps keep per-interaction costs low while maintaining a solid grasp of context for typical support queries.

Gemini 3.1 Flash Lite, on the other hand, brings Google’s robust AI capabilities to the table with broad modality support, which can be advantageous if your support bot might need to understand images or other data types in the future. While often slightly more expensive than Haiku, its integration within the Google ecosystem and strong reasoning capabilities make it a versatile choice for many SaaS products.

When evaluating these two, consider whether raw speed or broader potential capabilities are the primary driver for your MVP. Both offer significant value for scaling customer interactions without breaking the bank.

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.