GPT-5.4 mini vs Claude Haiku 4.6 for 100K-Token Support Pilots

GPT-5.4 mini vs Claude Haiku 4.6
Complete Comparison: 100,000 input tokens × 800 output tokens
Comparison Mode
⚡ 25% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 25% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria GPT-5.4 mini
OpenAI
Claude Haiku 4.6
Anthropic
Calculation Results (Current Inputs) (25% cached)
Input Tokens 100,000 100,000
Output Tokens 800 800
Cost Breakdown
Input Cost $0.075000 (rounded ~ $0.08)Worst $0.025000 (rounded ~ $0.03)Best
Output Cost $0.003600Worst $0.001000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.061725 (rounded ~ $0.06) Most Expensive $0.020375 Best Value
Processing Time 3 minutes, 31.86 seconds Slowest 2 minutes, 4.70 seconds Fastest
Tokens per Second 500Slowest 850Fastest
Time to First Token 180ms Worst 75ms Best
Cost per 1K tokens $0.000612Worst $0.000202Best
Tokens per Dollar 1,633,050Worst Value 4,947,239Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.250000Best
Output Cost / 1M (Base) $4.500000Worst $1.250000Best
Input Cost / 1M (Optimized) $0.750000Worst
Optimizations: No optimizations applied
$0.250000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $4.500000Worst
Optimizations: No optimizations applied
$1.250000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
25
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

GPT-5.4 mini
OpenAIMax Context: 400,000 tokens
$0.75 / $4.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
25%
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

$0.061725 Total Cost
$0.056250 Input Cost
$0.003600 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
100,800Total Tokens
$0.000612Cost per 1K
1,633,050Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 31s Processing Time
500 Tokens/Second
180ms Time to First Token
476 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.

GPT-5.4 mini OpenAI

$0.061725 (rounded ~ $0.06)
Total Cost
⚡ 25% 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) $0.078600 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.003600
Optimized Cost $0.061725 (rounded ~ $0.06) Input: $0.075000 (rounded ~ $0.08)
Output: $0.003600
Unit: $0.000000
Fees: $0.000000
Total Savings $0.016875 (rounded ~ $0.02) 21.5% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 800 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.003600
  • Total Cost: $0.061725 (rounded ~ $0.06)
  • Cost per 1K tokens: $0.000612
  • Tokens per dollar: 1,633,050 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 180ms time to first token:

  • Processing Time: 3 minutes, 31.86 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

A strategic choice between GPT's logic-heavy 'thinking' tokens for technical troubleshooting and Claude's superior tonal warmth for multilingual customer frontlines.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 mini. 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 →

Claude Haiku 4.6 Anthropic

$0.020375
Total Cost
⚡ 25% 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) $0.026000 (rounded ~ $0.03) Input: $0.025000 (rounded ~ $0.03)
Output: $0.001000
Optimized Cost $0.020375 Input: $0.025000 (rounded ~ $0.03)
Output: $0.001000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.005625 (rounded ~ $0.01) 21.6% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 800 output tokens:

  • Input Cost: $0.025000 (rounded ~ $0.03)
  • Output Cost: $0.001000
  • Total Cost: $0.020375
  • Cost per 1K tokens: $0.000202
  • Tokens per dollar: 4,947,239 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, 4.70 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 810 tokens/second (temperature-adjusted)

Best Use Cases

A strategic choice between GPT's logic-heavy 'thinking' tokens for technical troubleshooting and Claude's superior tonal warmth for multilingual customer frontlines.

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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 800
Cached Tokens: 25%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 mini vs Claude Haiku 4.6
🏆 Mistral Small 3
Mistral AI
 $0.007990 (rounded ~ $0.01) Best Value ↓ 87.1% cheaper ↓ 60.8% cheaper
🥈 Grok Code Fast 1
xAI
 $0.016700 (rounded ~ $0.02) ↓ 72.9% cheaper ↓ 18% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.020575 ↓ 66.7% cheaper ↑ 1% more
#4 Gemini 2.5 Flash
Google
 $0.025250 (rounded ~ $0.03) ↓ 59.1% cheaper ↑ 23.9% more
#5 Mistral Large 3
Mistral AI
 $0.039950 ↓ 35.3% cheaper ↑ 96.1% more
#6 Gemini 3.1 Flash
Google
 $0.041150 (rounded ~ $0.04) ↓ 33.3% cheaper ↑ 102% more
#7 Kimi K2.5
Moonshot AI
 $0.049950 ↓ 19.1% cheaper ↑ 145.2% more
#8 Kimi K2.6
Moonshot AI
 $0.078488 (rounded ~ $0.08) ↑ 27.2% more ↑ 285.2% more
#9 o4-mini Deep Research
OpenAI
 $0.080700 ↑ 30.7% more ↑ 296.1% more
#10 Claude Haiku 4.5
Anthropic
 $0.081500 (rounded ~ $0.08) ↑ 32% more ↑ 300% more
#11 o4-mini
OpenAI
 $0.088770 (rounded ~ $0.09) ↑ 43.8% more ↑ 335.7% more
#12 Grok 4.3
xAI
 $0.098875 (rounded ~ $0.10) ↑ 60.2% more ↑ 385.3% more
#13 Gemini 2.5 Pro
Google
 $0.104875 (rounded ~ $0.10) ↑ 69.9% more ↑ 414.7% more
#14 Gemini 3.5 Flash
Google
 $0.123450 (rounded ~ $0.12) ↑ 100% more ↑ 505.9% more
#15 GPT-5.3 Codex Spark
OpenAI
 $0.146825 (rounded ~ $0.15) ↑ 137.9% more ↑ 620.6% more
#16 GPT-5.3 Instant
OpenAI
 $0.146825 (rounded ~ $0.15) ↑ 137.9% more ↑ 620.6% more
#17 Grok 4.20 Beta
xAI
 $0.159800 ↑ 158.9% more ↑ 684.3% more
#18 Gemini 3.1 Pro
Google
 $0.164600 (rounded ~ $0.16) ↑ 166.7% more ↑ 707.9% more
#19 GPT-5.4
OpenAI
 $0.205750 (rounded ~ $0.21) ↑ 233.3% more ↑ 909.8% more
#20 GPT-5.4 Thinking
OpenAI
 $0.205750 (rounded ~ $0.21) ↑ 233.3% more ↑ 909.8% more
#21 Claude Sonnet 4.6
Anthropic
 $0.244500 (rounded ~ $0.24) ↑ 296.1% more ↑ 1100% more
#22 Claude Opus 4.7
Anthropic
 $0.407500 (rounded ~ $0.41) ↑ 560.2% more ↑ 1900% more
#23 Claude Opus 4.8
Anthropic
 $0.407500 (rounded ~ $0.41) ↑ 560.2% more ↑ 1900% more
#24 Claude Opus 4.6
Anthropic
 $0.407500 (rounded ~ $0.41) ↑ 560.2% more ↑ 1900% more
#25 GPT-5.5
OpenAI
 $0.411500 (rounded ~ $0.41) ↑ 566.7% more ↑ 1919.6% more
#26 GPT-5.5 Instant
OpenAI
 $0.411500 (rounded ~ $0.41) ↑ 566.7% more ↑ 1919.6% more
#27 o3 Deep Research
OpenAI
 $0.807000 (rounded ~ $0.81) ↑ 1207.4% more ↑ 3860.7% more
#28 o3 Pro
OpenAI
 $1.614000 (rounded ~ $1.61) ↑ 2514.8% more ↑ 7821.5% more
#29 GPT-5.2 Pro
OpenAI
 $1.761900 (rounded ~ $1.76) ↑ 2754.4% more ↑ 8547.4% more
#30 GPT-5.2 Pro
OpenAI
 $1.761900 (rounded ~ $1.76) ↑ 2754.4% more ↑ 8547.4% more
🏆

Mistral Small 3
Mistral AI

$0.007990 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 87.1%
vs Claude Haiku 4.6: ↓ 60.8%
🥈

Grok Code Fast 1
xAI

$0.016700 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 72.9%
vs Claude Haiku 4.6: ↓ 18%
🥉

Gemini 3.1 Flash Lite
Google

$0.020575
vs GPT-5.4 mini: ↓ 66.7%
vs Claude Haiku 4.6: ↑ 1%
#4

Gemini 2.5 Flash
Google

$0.025250 (rounded ~ $0.03)
vs GPT-5.4 mini: ↓ 59.1%
vs Claude Haiku 4.6: ↑ 23.9%
#5

Mistral Large 3
Mistral AI

$0.039950
vs GPT-5.4 mini: ↓ 35.3%
vs Claude Haiku 4.6: ↑ 96.1%
#6

Gemini 3.1 Flash
Google

$0.041150 (rounded ~ $0.04)
vs GPT-5.4 mini: ↓ 33.3%
vs Claude Haiku 4.6: ↑ 102%
#7

Kimi K2.5
Moonshot AI

$0.049950
vs GPT-5.4 mini: ↓ 19.1%
vs Claude Haiku 4.6: ↑ 145.2%
#8

Kimi K2.6
Moonshot AI

$0.078488 (rounded ~ $0.08)
vs GPT-5.4 mini: ↑ 27.2%
vs Claude Haiku 4.6: ↑ 285.2%
#9

o4-mini Deep Research
OpenAI

$0.080700
vs GPT-5.4 mini: ↑ 30.7%
vs Claude Haiku 4.6: ↑ 296.1%
#10

Claude Haiku 4.5
Anthropic

$0.081500 (rounded ~ $0.08)
vs GPT-5.4 mini: ↑ 32%
vs Claude Haiku 4.6: ↑ 300%
#11

o4-mini
OpenAI

$0.088770 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 43.8%
vs Claude Haiku 4.6: ↑ 335.7%
#12

Grok 4.3
xAI

$0.098875 (rounded ~ $0.10)
vs GPT-5.4 mini: ↑ 60.2%
vs Claude Haiku 4.6: ↑ 385.3%
#13

Gemini 2.5 Pro
Google

$0.104875 (rounded ~ $0.10)
vs GPT-5.4 mini: ↑ 69.9%
vs Claude Haiku 4.6: ↑ 414.7%
#14

Gemini 3.5 Flash
Google

$0.123450 (rounded ~ $0.12)
vs GPT-5.4 mini: ↑ 100%
vs Claude Haiku 4.6: ↑ 505.9%
#15

GPT-5.3 Codex Spark
OpenAI

$0.146825 (rounded ~ $0.15)
vs GPT-5.4 mini: ↑ 137.9%
vs Claude Haiku 4.6: ↑ 620.6%
#16

GPT-5.3 Instant
OpenAI

$0.146825 (rounded ~ $0.15)
vs GPT-5.4 mini: ↑ 137.9%
vs Claude Haiku 4.6: ↑ 620.6%
#17

Grok 4.20 Beta
xAI

$0.159800
vs GPT-5.4 mini: ↑ 158.9%
vs Claude Haiku 4.6: ↑ 684.3%
#18

Gemini 3.1 Pro
Google

$0.164600 (rounded ~ $0.16)
vs GPT-5.4 mini: ↑ 166.7%
vs Claude Haiku 4.6: ↑ 707.9%
#19

GPT-5.4
OpenAI

$0.205750 (rounded ~ $0.21)
vs GPT-5.4 mini: ↑ 233.3%
vs Claude Haiku 4.6: ↑ 909.8%
#20

GPT-5.4 Thinking
OpenAI

$0.205750 (rounded ~ $0.21)
vs GPT-5.4 mini: ↑ 233.3%
vs Claude Haiku 4.6: ↑ 909.8%
#21

Claude Sonnet 4.6
Anthropic

$0.244500 (rounded ~ $0.24)
vs GPT-5.4 mini: ↑ 296.1%
vs Claude Haiku 4.6: ↑ 1100%
#22

Claude Opus 4.7
Anthropic

$0.407500 (rounded ~ $0.41)
vs GPT-5.4 mini: ↑ 560.2%
vs Claude Haiku 4.6: ↑ 1900%
#23

Claude Opus 4.8
Anthropic

$0.407500 (rounded ~ $0.41)
vs GPT-5.4 mini: ↑ 560.2%
vs Claude Haiku 4.6: ↑ 1900%
#24

Claude Opus 4.6
Anthropic

$0.407500 (rounded ~ $0.41)
vs GPT-5.4 mini: ↑ 560.2%
vs Claude Haiku 4.6: ↑ 1900%
#25

GPT-5.5
OpenAI

$0.411500 (rounded ~ $0.41)
vs GPT-5.4 mini: ↑ 566.7%
vs Claude Haiku 4.6: ↑ 1919.6%
#26

GPT-5.5 Instant
OpenAI

$0.411500 (rounded ~ $0.41)
vs GPT-5.4 mini: ↑ 566.7%
vs Claude Haiku 4.6: ↑ 1919.6%
#27

o3 Deep Research
OpenAI

$0.807000 (rounded ~ $0.81)
vs GPT-5.4 mini: ↑ 1207.4%
vs Claude Haiku 4.6: ↑ 3860.7%
#28

o3 Pro
OpenAI

$1.614000 (rounded ~ $1.61)
vs GPT-5.4 mini: ↑ 2514.8%
vs Claude Haiku 4.6: ↑ 7821.5%
#29

GPT-5.2 Pro
OpenAI

$1.761900 (rounded ~ $1.76)
vs GPT-5.4 mini: ↑ 2754.4%
vs Claude Haiku 4.6: ↑ 8547.4%
#30

GPT-5.2 Pro
OpenAI

$1.761900 (rounded ~ $1.76)
vs GPT-5.4 mini: ↑ 2754.4%
vs Claude Haiku 4.6: ↑ 8547.4%
✨ 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.

Reasoning vs. Tone in Pilot Deployments

When launching a 100K-token customer support pilot, choosing between specialized small models like GPT-5.4 mini and Claude Haiku 4.6 often comes down to the specific nature of the interaction. GPT-5.4 mini introduces advanced reasoning and ‘thinking’ capabilities into the lightweight tier. This makes it particularly effective for support workflows that require multi-step logic, such as troubleshooting technical issues or navigating complex internal policy trees. If your chatbot needs to act as a logic engine that executes various functions or tools, the OpenAI ecosystem provides a very mature developer experience.

Conversely, Claude Haiku 4.6 is frequently cited by support leads for its superior ‘human’ tone and its ability to follow strict stylistic guidelines without sounding overly repetitive. In multilingual scenarios, Haiku often demonstrates a more nuanced grasp of cultural idioms and formal vs. informal addressing, which is vital for maintaining brand reputation during escalation handling. It is also exceptionally fast, providing the near-instantaneous feedback that users expect from modern chat interfaces.

For developers, the decision between these two often hinges on the priority of the workload. If the bot is primarily a reasoning agent for technical support, the GPT-5.4 mini thinking capabilities offer a distinct advantage. If the bot is the front-line face of a global brand where tone, safety, and multilingual fluidness are paramount, Claude Haiku 4.6 remains a gold standard for pilot deployments.

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.