Cheapest Model for 100K Token Explanations

Complete Analysis: 102,000 tokens for Claude Haiku 4.6
⚡ 5% Cached

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Haiku 4.6 model with 5% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.006594 (rounded ~ $0.01) Total Cost
102,000 Total Tokens
2 minutes, 8.58 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)
5%
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

$0.006594 Total Cost
$0.005938 Input Cost
$0.000625 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
$0.000065Cost per 1K
15,469,194Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 8s 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

$0.006594 (rounded ~ $0.01)
Total Cost
⚡ 5% Cached 📊 Batch API
👁️
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) $0.006875 (rounded ~ $0.01) Input: $0.006250 (rounded ~ $0.01)
Output: $0.000625
Optimized Cost $0.006594 (rounded ~ $0.01) Input: $0.006250 (rounded ~ $0.01)
Output: $0.000625
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000281 4.1% 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: $0.006250 (rounded ~ $0.01)
  • Output Cost: $0.000625
  • Total Cost: $0.006594 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000065
  • Tokens per dollar: 15,469,194 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, 8.58 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for rapidcost-effective generation of short text outputssuch as explanations or summarieswhere speed and budget are primary concerns for small-scale projects.

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✨ Market Recommendations AI Model Registry

← Back to Claude Haiku 4.6
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 5%
Rank AI Model & Provider Total Cost vs Claude Haiku 4.6
🏆 Mistral Small 3
Mistral AI
 $0.002538 Best Value ↓ 61.5% cheaper
🥈 Devstral Small 2
Mistral AI
 $0.002538 ↓ 61.5% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.006719 (rounded ~ $0.01) ↑ 1.9% more
#4 Nemotron 3 Super
NVIDIA
 $0.007573 (rounded ~ $0.01) ↑ 14.8% more
#5 Gemini 3.5 Flash-Lite
Google
 $0.008413 (rounded ~ $0.01) ↑ 27.6% more
#6 Gemini 2.5 Flash
Google
 $0.008413 (rounded ~ $0.01) ↑ 27.6% more
#7 Devstral 2
Mistral AI
 $0.010000 ↑ 51.7% more
#8 Mistral Large 3
Mistral AI
 $0.012688 (rounded ~ $0.01) ↑ 92.4% more
#9 Gemini 3.8 Flash
Google
 $0.019781 ↑ 200% more
#10 GPT-5.4 mini
OpenAI
 $0.020156 ↑ 205.7% more
#11 o4-mini Deep Research
OpenAI
 $0.025875 (rounded ~ $0.03) ↑ 292.4% more
#12 Claude Haiku 4.5
Anthropic
 $0.026375 (rounded ~ $0.03) ↑ 300% more
#13 Gemini 3.1 Flash
Google
 $0.026875 (rounded ~ $0.03) ↑ 307.6% more
#14 GPT-5.6 Luna
OpenAI
 $0.026875 (rounded ~ $0.03) ↑ 307.6% more
#15 o4-mini
OpenAI
 $0.028463 (rounded ~ $0.03) ↑ 331.7% more
#16 Gemini 3.6 Flash
Google
 $0.039563 ↑ 500% more
#17 Gemini 3.5 Flash
Google
 $0.040313 ↑ 511.4% more
#18 GPT-5.3 Codex Spark
OpenAI
 $0.048781 (rounded ~ $0.05) ↑ 639.8% more
#19 GPT-5.3 Instant
OpenAI
 $0.048781 (rounded ~ $0.05) ↑ 639.8% more
#20 Magistral Medium
Mistral AI
 $0.050250 ↑ 662.1% more
#21 Claude Sonnet 5
Anthropic
 $0.052750 (rounded ~ $0.05) ↑ 700% more
#22 GPT-5.6 Terra
OpenAI
 $0.067188 (rounded ~ $0.07) ↑ 919% more
#23 Gemini 2.5 Pro
Google
 $0.069688 ↑ 956.9% more
#24 Claude Sonnet 4.6
Anthropic
 $0.079125 ↑ 1100% more
#25 Grok 4.3
xAI
 $0.099500 ↑ 1409% more
#26 Grok 4.20 Beta
xAI
 $0.099500 ↑ 1409% more
#27 Gemini 3.1 Pro
Google
 $0.107500 (rounded ~ $0.11) ↑ 1530.3% more
#28 Claude Opus 4.7
Anthropic
 $0.131875 (rounded ~ $0.13) ↑ 1900% more
#29 Claude Opus 5
Anthropic
 $0.131875 (rounded ~ $0.13) ↑ 1900% more
#30 Claude Opus 4.8
Anthropic
 $0.131875 (rounded ~ $0.13) ↑ 1900% more
#31 Claude Opus 4.6
Anthropic
 $0.131875 (rounded ~ $0.13) ↑ 1900% more
#32 GPT-5.4
OpenAI
 $0.134375 (rounded ~ $0.13) ↑ 1937.9% more
#33 GPT-5.4 Thinking
OpenAI
 $0.134375 (rounded ~ $0.13) ↑ 1937.9% more
#34 GPT-5.5 Instant
OpenAI
 $0.134375 (rounded ~ $0.13) ↑ 1937.9% more
#35 GPT-5.6 Sol
OpenAI
 $0.134375 (rounded ~ $0.13) ↑ 1937.9% more
#36 o3 Deep Research
OpenAI
 $0.258750 (rounded ~ $0.26) ↑ 3824.2% more
#37 Claude Fable 5.1
Anthropic
 $0.262813 (rounded ~ $0.26) ↑ 3885.8% more
#38 Claude Mythos 5.1
Anthropic
 $0.262813 (rounded ~ $0.26) ↑ 3885.8% more
#39 Claude Fable 5
Anthropic
 $0.263750 (rounded ~ $0.26) ↑ 3900% more
#40 Claude Mythos 5
Anthropic
 $0.263750 (rounded ~ $0.26) ↑ 3900% more
#41 GPT-5.5
OpenAI
 $0.268750 (rounded ~ $0.27) ↑ 3975.8% more
#42 o3 Pro
OpenAI
 $0.517500 (rounded ~ $0.52) ↑ 7748.3% more
#43 GPT-6 Astra
OpenAI
 $0.527500 (rounded ~ $0.53) ↑ 7900% more
#44 GPT-5.2 Pro
OpenAI
 $0.585375 (rounded ~ $0.59) ↑ 8777.7% more
#45 GPT-5.2 Pro
OpenAI
 $0.585375 (rounded ~ $0.59) ↑ 8777.7% more
🏆

Mistral Small 3
Mistral AI

$0.002538
vs Claude Haiku 4.6: ↓ 61.5%
🥈

Devstral Small 2
Mistral AI

$0.002538
vs Claude Haiku 4.6: ↓ 61.5%
🥉

Gemini 3.1 Flash Lite
Google

$0.006719 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 1.9%
#4

Nemotron 3 Super
NVIDIA

$0.007573 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 14.8%
#5

Gemini 3.5 Flash-Lite
Google

$0.008413 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 27.6%
#6

Gemini 2.5 Flash
Google

$0.008413 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 27.6%
#7

Devstral 2
Mistral AI

$0.010000
vs Claude Haiku 4.6: ↑ 51.7%
#8

Mistral Large 3
Mistral AI

$0.012688 (rounded ~ $0.01)
vs Claude Haiku 4.6: ↑ 92.4%
#9

Gemini 3.8 Flash
Google

$0.019781
vs Claude Haiku 4.6: ↑ 200%
#10

GPT-5.4 mini
OpenAI

$0.020156
vs Claude Haiku 4.6: ↑ 205.7%
#11

o4-mini Deep Research
OpenAI

$0.025875 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 292.4%
#12

Claude Haiku 4.5
Anthropic

$0.026375 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 300%
#13

Gemini 3.1 Flash
Google

$0.026875 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 307.6%
#14

GPT-5.6 Luna
OpenAI

$0.026875 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 307.6%
#15

o4-mini
OpenAI

$0.028463 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 331.7%
#16

Gemini 3.6 Flash
Google

$0.039563
vs Claude Haiku 4.6: ↑ 500%
#17

Gemini 3.5 Flash
Google

$0.040313
vs Claude Haiku 4.6: ↑ 511.4%
#18

GPT-5.3 Codex Spark
OpenAI

$0.048781 (rounded ~ $0.05)
vs Claude Haiku 4.6: ↑ 639.8%
#19

GPT-5.3 Instant
OpenAI

$0.048781 (rounded ~ $0.05)
vs Claude Haiku 4.6: ↑ 639.8%
#20

Magistral Medium
Mistral AI

$0.050250
vs Claude Haiku 4.6: ↑ 662.1%
#21

Claude Sonnet 5
Anthropic

$0.052750 (rounded ~ $0.05)
vs Claude Haiku 4.6: ↑ 700%
#22

GPT-5.6 Terra
OpenAI

$0.067188 (rounded ~ $0.07)
vs Claude Haiku 4.6: ↑ 919%
#23

Gemini 2.5 Pro
Google

$0.069688
vs Claude Haiku 4.6: ↑ 956.9%
#24

Claude Sonnet 4.6
Anthropic

$0.079125
vs Claude Haiku 4.6: ↑ 1100%
#25

Grok 4.3
xAI

$0.099500
vs Claude Haiku 4.6: ↑ 1409%
#26

Grok 4.20 Beta
xAI

$0.099500
vs Claude Haiku 4.6: ↑ 1409%
#27

Gemini 3.1 Pro
Google

$0.107500 (rounded ~ $0.11)
vs Claude Haiku 4.6: ↑ 1530.3%
#28

Claude Opus 4.7
Anthropic

$0.131875 (rounded ~ $0.13)
vs Claude Haiku 4.6: ↑ 1900%
#29

Claude Opus 5
Anthropic

$0.131875 (rounded ~ $0.13)
vs Claude Haiku 4.6: ↑ 1900%
#30

Claude Opus 4.8
Anthropic

$0.131875 (rounded ~ $0.13)
vs Claude Haiku 4.6: ↑ 1900%
#31

Claude Opus 4.6
Anthropic

$0.131875 (rounded ~ $0.13)
vs Claude Haiku 4.6: ↑ 1900%
#32

GPT-5.4
OpenAI

$0.134375 (rounded ~ $0.13)
vs Claude Haiku 4.6: ↑ 1937.9%
#33

GPT-5.4 Thinking
OpenAI

$0.134375 (rounded ~ $0.13)
vs Claude Haiku 4.6: ↑ 1937.9%
#34

GPT-5.5 Instant
OpenAI

$0.134375 (rounded ~ $0.13)
vs Claude Haiku 4.6: ↑ 1937.9%
#35

GPT-5.6 Sol
OpenAI

$0.134375 (rounded ~ $0.13)
vs Claude Haiku 4.6: ↑ 1937.9%
#36

o3 Deep Research
OpenAI

$0.258750 (rounded ~ $0.26)
vs Claude Haiku 4.6: ↑ 3824.2%
#37

Claude Fable 5.1
Anthropic

$0.262813 (rounded ~ $0.26)
vs Claude Haiku 4.6: ↑ 3885.8%
#38

Claude Mythos 5.1
Anthropic

$0.262813 (rounded ~ $0.26)
vs Claude Haiku 4.6: ↑ 3885.8%
#39

Claude Fable 5
Anthropic

$0.263750 (rounded ~ $0.26)
vs Claude Haiku 4.6: ↑ 3900%
#40

Claude Mythos 5
Anthropic

$0.263750 (rounded ~ $0.26)
vs Claude Haiku 4.6: ↑ 3900%
#41

GPT-5.5
OpenAI

$0.268750 (rounded ~ $0.27)
vs Claude Haiku 4.6: ↑ 3975.8%
#42

o3 Pro
OpenAI

$0.517500 (rounded ~ $0.52)
vs Claude Haiku 4.6: ↑ 7748.3%
#43

GPT-6 Astra
OpenAI

$0.527500 (rounded ~ $0.53)
vs Claude Haiku 4.6: ↑ 7900%
#44

GPT-5.2 Pro
OpenAI

$0.585375 (rounded ~ $0.59)
vs Claude Haiku 4.6: ↑ 8777.7%
#45

GPT-5.2 Pro
OpenAI

$0.585375 (rounded ~ $0.59)
vs Claude Haiku 4.6: ↑ 8777.7%
✨ 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.

Evaluating Cost-Effective Text Generation for EdTech

For EdTech product managers focused on optimizing costs for text-heavy features, exploring models like Claude Haiku 4.6 is essential. This model offers a compelling balance of performance and affordability, making it suitable for tasks such as generating concise explanations, FAQs, or brief summaries for educational content. Its efficiency is particularly beneficial when dealing with moderate token volumes, ensuring that budget constraints do not hinder the deployment of valuable AI-driven features.

When considering models for generating short text outputs, factors beyond raw cost come into play. Latency can be critical for user experience, especially in interactive learning environments. Claude Haiku 4.6 is known for its speed, which can contribute to a more responsive application. For prototyping or MVP development, choosing a model that delivers strong results without breaking the bank is a strategic advantage.

Consider this model for applications requiring rapid, cost-effective text generation where the primary goal is to produce clear and accurate content for learning materials or support resources.

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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