Cost per 1M Tokens: Claude Haiku 4.6 for 100K-Token Multilingual Support Pipelines

Complete Analysis: 100,500 tokens for Claude Haiku 4.6
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Haiku 4.6 model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.003594 Total Cost
100,500 Total Tokens
2 minutes, 6.69 seconds Processing Time
794 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Claude Haiku 4.6
AnthropicMax Context: 200,000 tokens
$0.25 / $1.25 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

$0.003594 Total Cost
$0.003125 Input Cost
$0.000156 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
$0.000036Cost per 1K
27,965,217Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 6s 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

Claude Haiku 4.6 Anthropic

$0.003594
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) $0.006406 (rounded ~ $0.01) Input: $0.006250 (rounded ~ $0.01)
Output: $0.000156
Optimized Cost $0.003594 Input: $0.006250 (rounded ~ $0.01)
Output: $0.000156
Unit: $0.000000
Fees: $0.000000
Total Savings $0.002813 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: $0.006250 (rounded ~ $0.01)
  • Output Cost: $0.000156
  • Total Cost: $0.003594
  • Cost per 1K tokens: $0.000036
  • Tokens per dollar: 27,965,217 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: 2 minutes, 6.69 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

Best for high-volumemultilingual customer support triage and ticket routing where low latency and predictable output are critical.

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✨ Market Recommendations AI Model Registry

← Back to Claude Haiku 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 Haiku 4.6
🏆 Mistral Small 3
Mistral AI
 $0.001413 Best Value ↓ 60.7% cheaper
🥈 Grok Code Fast 1
xAI
 $0.002938 ↓ 18.3% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.003625 ↑ 0.9% more
#4 Gemini 2.5 Flash
Google
 $0.004438 ↑ 23.5% more
#5 Mistral Large 3
Mistral AI
 $0.007063 (rounded ~ $0.01) ↑ 96.5% more
#6 GPT-5.4 mini
OpenAI
 $0.010875 ↑ 202.6% more
#7 o4-mini Deep Research
OpenAI
 $0.014250 (rounded ~ $0.01) ↑ 296.5% more
#8 Claude Haiku 4.5
Anthropic
 $0.014375 (rounded ~ $0.01) ↑ 300% more
#9 Gemini 3.1 Flash
Google
 $0.014500 (rounded ~ $0.01) ↑ 303.5% more
#10 o4-mini
OpenAI
 $0.015675 (rounded ~ $0.02) ↑ 336.2% more
#11 GPT-5.2
OpenAI
 $0.025813 (rounded ~ $0.03) ↑ 618.3% more
#12 GPT-5.3 Codex Spark
OpenAI
 $0.025813 (rounded ~ $0.03) ↑ 618.3% more
#13 GPT-5.3 Instant
OpenAI
 $0.025813 (rounded ~ $0.03) ↑ 618.3% more
#14 Grok 4.20 Beta
xAI
 $0.028250 (rounded ~ $0.03) ↑ 686.1% more
#15 Gemini 2.5 Pro
Google
 $0.036875 (rounded ~ $0.04) ↑ 926.1% more
#16 Claude Sonnet 4.6
Anthropic
 $0.043125 (rounded ~ $0.04) ↑ 1100% more
#17 Grok 4
xAI
 $0.043125 (rounded ~ $0.04) ↑ 1100% more
#18 Gemini 3.1 Pro
Google
 $0.058000 (rounded ~ $0.06) ↑ 1513.9% more
#19 Claude Opus 4.7
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 1900% more
#20 Claude Opus 4.6
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 1900% more
#21 GPT-5.4
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 1917.4% more
#22 GPT-5.4 Thinking
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 1917.4% more
#23 GPT-5.5 Instant
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 1917.4% more
#24 o3 Deep Research
OpenAI
 $0.142500 (rounded ~ $0.14) ↑ 3865.2% more
#25 GPT-5.5
OpenAI
 $0.145000 (rounded ~ $0.15) ↑ 3934.8% more
#26 o3 Pro
OpenAI
 $0.285000 (rounded ~ $0.29) ↑ 7830.4% more
#27 GPT-5.2 Pro
OpenAI
 $0.309750 ↑ 8519.1% more
#28 GPT-5.2 Pro
OpenAI
 $0.309750 ↑ 8519.1% more
🏆

Mistral Small 3
Mistral AI

$0.001413
vs Claude Haiku 4.6: ↓ 60.7%
🥈

Grok Code Fast 1
xAI

$0.002938
vs Claude Haiku 4.6: ↓ 18.3%
🥉

Gemini 3.1 Flash Lite
Google

$0.003625
vs Claude Haiku 4.6: ↑ 0.9%
#4

Gemini 2.5 Flash
Google

$0.004438
vs Claude Haiku 4.6: ↑ 23.5%
#5

Mistral Large 3
Mistral AI

$0.007063 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 96.5%
#6

GPT-5.4 mini
OpenAI

$0.010875
vs Claude Haiku 4.6: ↑ 202.6%
#7

o4-mini Deep Research
OpenAI

$0.014250 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 296.5%
#8

Claude Haiku 4.5
Anthropic

$0.014375 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 300%
#9

Gemini 3.1 Flash
Google

$0.014500 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 303.5%
#10

o4-mini
OpenAI

$0.015675 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 336.2%
#11

GPT-5.2
OpenAI

$0.025813 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 618.3%
#12

GPT-5.3 Codex Spark
OpenAI

$0.025813 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 618.3%
#13

GPT-5.3 Instant
OpenAI

$0.025813 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 618.3%
#14

Grok 4.20 Beta
xAI

$0.028250 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 686.1%
#15

Gemini 2.5 Pro
Google

$0.036875 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 926.1%
#16

Claude Sonnet 4.6
Anthropic

$0.043125 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 1100%
#17

Grok 4
xAI

$0.043125 (rounded ~ $0.04)
vs Claude Haiku 4.6: ↑ 1100%
#18

Gemini 3.1 Pro
Google

$0.058000 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 1513.9%
#19

Claude Opus 4.7
Anthropic

$0.071875 (rounded ~ $0.07)
vs Claude Haiku 4.6: ↑ 1900%
#20

Claude Opus 4.6
Anthropic

$0.071875 (rounded ~ $0.07)
vs Claude Haiku 4.6: ↑ 1900%
#21

GPT-5.4
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Haiku 4.6: ↑ 1917.4%
#22

GPT-5.4 Thinking
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Haiku 4.6: ↑ 1917.4%
#23

GPT-5.5 Instant
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Haiku 4.6: ↑ 1917.4%
#24

o3 Deep Research
OpenAI

$0.142500 (rounded ~ $0.14)
vs Claude Haiku 4.6: ↑ 3865.2%
#25

GPT-5.5
OpenAI

$0.145000 (rounded ~ $0.15)
vs Claude Haiku 4.6: ↑ 3934.8%
#26

o3 Pro
OpenAI

$0.285000 (rounded ~ $0.29)
vs Claude Haiku 4.6: ↑ 7830.4%
#27

GPT-5.2 Pro
OpenAI

$0.309750
vs Claude Haiku 4.6: ↑ 8519.1%
#28

GPT-5.2 Pro
OpenAI

$0.309750
vs Claude Haiku 4.6: ↑ 8519.1%
✨ 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.

Scaling Multilingual Support with High-Efficiency Models

For customer support leads managing high-volume, multilingual environments, the bottleneck is often the trade-off between model intelligence and processing speed. Claude Haiku 4.6 has emerged as a high-efficiency workhorse, particularly for pipelines processing 100K-token batches of customer inquiries. It allows teams to maintain rapid response times without compromising on the quality of the interaction.

The primary advantage of Haiku 4.6 in a support context is its exceptional instruction following at high throughput. When you are routing escalations across different languages, you need a model that maintains strict adherence to tone and policy without the latency penalties often associated with larger, more generalized reasoning engines. It is optimized for the kind of rapid-fire, structured output required for ticket classification, sentiment analysis, and initial triage.

Beyond raw speed, the ecosystem maturity surrounding this model is a significant factor for production teams. Integration with existing retrieval-augmented generation frameworks is seamless, ensuring that when your agent needs to retrieve a policy document to answer a multilingual query, it can do so without breaking the flow. While larger models might offer deeper logic for truly complex edge-case escalations, this model hits a sweet spot of performance that allows for massive scaling without ballooning your infrastructure requirements.

For support teams, the decision to standardize on this model usually hinges on its consistency. You need predictable behavior across languages, and this model delivers that stability, making it ideal for maintaining high customer satisfaction scores in automated support workflows.

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.