GPT-5.4 mini vs Claude Haiku 4.6 for 100K-Token Chat Pipelines

GPT-5.4 mini vs Claude Haiku 4.6
Complete Comparison: 100,000 input tokens × 300 output tokens
Comparison Mode
⚡ 60% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT-5.4 mini
OpenAI
Claude Haiku 4.6
Anthropic
Calculation Results (Current Inputs) (60% cached)
Input Tokens 100,000 100,000
Output Tokens 300 300
Cost Breakdown
Input Cost $0.018750 (rounded ~ $0.02)Worst $0.006250 (rounded ~ $0.01)Best
Output Cost $0.000338Worst $0.000094Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.008963 (rounded ~ $0.01) Most Expensive $0.002969 Best Value
Processing Time 3 minutes, 30.81 seconds Slowest 2 minutes, 4.08 seconds Fastest
Tokens per Second 500Slowest 850Fastest
Time to First Token 180ms Worst 75ms Best
Cost per 1K tokens $0.000089Worst $0.000030Best
Tokens per Dollar 11,191,074Worst Value 33,785,263Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.187500 (rounded ~ $0.19)Worst $0.062500 (rounded ~ $0.06)Best
Output Cost / 1M (Base) $1.125000 (rounded ~ $1.13)Worst $0.312500 (rounded ~ $0.31)Best
Input Cost / 1M (Optimized) $0.093750 (rounded ~ $0.09)Worst
Optimizations: 50.0% batch
$0.031250 (rounded ~ $0.03)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.562500 (rounded ~ $0.56)Worst
Optimizations: 50.0% batch
$0.156250 (rounded ~ $0.16)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
60
✓ 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)
60%
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

$0.008963 Total Cost
$0.007500 Input Cost
$0.000338 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
100,300Total Tokens
$0.000089Cost per 1K
11,191,074Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 30s 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

$0.008963 (rounded ~ $0.01)
Total Cost
⚡ 60% 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) $0.019088 Input: $0.018750 (rounded ~ $0.02)
Output: $0.000338
Optimized Cost $0.008963 (rounded ~ $0.01) Input: $0.018750 (rounded ~ $0.02)
Output: $0.000338
Unit: $0.000000
Fees: $0.000000
Total Savings $0.010125 53.0% 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 300 output tokens:

  • Input Cost: $0.018750 (rounded ~ $0.02)
  • Output Cost: $0.000338
  • Total Cost: $0.008963 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000089
  • Tokens per dollar: 11,191,074 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, 30.81 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

GPT-5.4 mini is best for agentic workflows with tool use; Claude Haiku 4.6 is optimal for low-latency conversational interfaces.

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.

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Claude Haiku 4.6 Anthropic

$0.002969
Total Cost
⚡ 60% 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) $0.006344 (rounded ~ $0.01) Input: $0.006250 (rounded ~ $0.01)
Output: $0.000094
Optimized Cost $0.002969 Input: $0.006250 (rounded ~ $0.01)
Output: $0.000094
Unit: $0.000000
Fees: $0.000000
Total Savings $0.003375 53.2% 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 300 output tokens:

  • Input Cost: $0.006250 (rounded ~ $0.01)
  • Output Cost: $0.000094
  • Total Cost: $0.002969
  • Cost per 1K tokens: $0.000030
  • Tokens per dollar: 33,785,263 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, 4.08 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 810 tokens/second (temperature-adjusted)

Best Use Cases

GPT-5.4 mini is best for agentic workflows with tool use; Claude Haiku 4.6 is optimal for low-latency conversational interfaces.

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: 300
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 mini vs Claude Haiku 4.6
🏆 Mistral Small 3
Mistral AI
 $0.001173 Best Value ↓ 86.9% cheaper ↓ 60.5% cheaper
🥈 Grok Code Fast 1
xAI
 $0.002413 ↓ 73.1% cheaper ↓ 18.7% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.002988 ↓ 66.7% cheaper ↑ 0.6% more
#4 Gemini 2.5 Flash
Google
 $0.003638 ↓ 59.4% cheaper ↑ 22.5% more
#5 Mistral Large 3
Mistral AI
 $0.005863 (rounded ~ $0.01) ↓ 34.6% cheaper ↑ 97.5% more
#6 o4-mini Deep Research
OpenAI
 $0.011800 (rounded ~ $0.01) ↑ 31.7% more ↑ 297.5% more
#7 Claude Haiku 4.5
Anthropic
 $0.011875 (rounded ~ $0.01) ↑ 32.5% more ↑ 300% more
#8 Gemini 3.1 Flash
Google
 $0.011950 (rounded ~ $0.01) ↑ 33.3% more ↑ 302.5% more
#9 o4-mini
OpenAI
 $0.012980 (rounded ~ $0.01) ↑ 44.8% more ↑ 337.2% more
#10 Grok 4.3
xAI
 $0.014563 (rounded ~ $0.01) ↑ 62.5% more ↑ 390.5% more
#11 Gemini 3.5 Flash
Google
 $0.017925 (rounded ~ $0.02) ↑ 100% more ↑ 503.8% more
#12 GPT-5.3 Codex Spark
OpenAI
 $0.021175 (rounded ~ $0.02) ↑ 136.3% more ↑ 613.3% more
#13 GPT-5.3 Instant
OpenAI
 $0.021175 (rounded ~ $0.02) ↑ 136.3% more ↑ 613.3% more
#14 Grok 4.20 Beta
xAI
 $0.023450 (rounded ~ $0.02) ↑ 161.6% more ↑ 689.9% more
#15 Gemini 2.5 Pro
Google
 $0.030250 ↑ 237.5% more ↑ 918.9% more
#16 Claude Sonnet 4.6
Anthropic
 $0.035625 (rounded ~ $0.04) ↑ 297.5% more ↑ 1100% more
#17 Gemini 3.1 Pro
Google
 $0.047800 (rounded ~ $0.05) ↑ 433.3% more ↑ 1510.1% more
#18 Claude Opus 4.7
Anthropic
 $0.059375 ↑ 562.5% more ↑ 1900% more
#19 Claude Opus 4.8
Anthropic
 $0.059375 ↑ 562.5% more ↑ 1900% more
#20 Claude Opus 4.6
Anthropic
 $0.059375 ↑ 562.5% more ↑ 1900% more
#21 GPT-5.4
OpenAI
 $0.059750 ↑ 566.7% more ↑ 1912.6% more
#22 GPT-5.4 Thinking
OpenAI
 $0.059750 ↑ 566.7% more ↑ 1912.6% more
#23 GPT-5.5 Instant
OpenAI
 $0.059750 ↑ 566.7% more ↑ 1912.6% more
#24 o3 Deep Research
OpenAI
 $0.118000 (rounded ~ $0.12) ↑ 1216.6% more ↑ 3874.7% more
#25 GPT-5.5
OpenAI
 $0.119500 ↑ 1233.3% more ↑ 3925.3% more
#26 o3 Pro
OpenAI
 $0.236000 (rounded ~ $0.24) ↑ 2533.2% more ↑ 7849.5% more
#27 GPT-5.2 Pro
OpenAI
 $0.254100 (rounded ~ $0.25) ↑ 2735.1% more ↑ 8459.2% more
#28 GPT-5.2 Pro
OpenAI
 $0.254100 (rounded ~ $0.25) ↑ 2735.1% more ↑ 8459.2% more
🏆

Mistral Small 3
Mistral AI

$0.001173
vs GPT-5.4 mini: ↓ 86.9%
vs Claude Haiku 4.6: ↓ 60.5%
🥈

Grok Code Fast 1
xAI

$0.002413
vs GPT-5.4 mini: ↓ 73.1%
vs Claude Haiku 4.6: ↓ 18.7%
🥉

Gemini 3.1 Flash Lite
Google

$0.002988
vs GPT-5.4 mini: ↓ 66.7%
vs Claude Haiku 4.6: ↑ 0.6%
#4

Gemini 2.5 Flash
Google

$0.003638
vs GPT-5.4 mini: ↓ 59.4%
vs Claude Haiku 4.6: ↑ 22.5%
#5

Mistral Large 3
Mistral AI

$0.005863 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 34.6%
vs Claude Haiku 4.6: ↑ 97.5%
#6

o4-mini Deep Research
OpenAI

$0.011800 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 31.7%
vs Claude Haiku 4.6: ↑ 297.5%
#7

Claude Haiku 4.5
Anthropic

$0.011875 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 32.5%
vs Claude Haiku 4.6: ↑ 300%
#8

Gemini 3.1 Flash
Google

$0.011950 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 33.3%
vs Claude Haiku 4.6: ↑ 302.5%
#9

o4-mini
OpenAI

$0.012980 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 44.8%
vs Claude Haiku 4.6: ↑ 337.2%
#10

Grok 4.3
xAI

$0.014563 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 62.5%
vs Claude Haiku 4.6: ↑ 390.5%
#11

Gemini 3.5 Flash
Google

$0.017925 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 100%
vs Claude Haiku 4.6: ↑ 503.8%
#12

GPT-5.3 Codex Spark
OpenAI

$0.021175 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 136.3%
vs Claude Haiku 4.6: ↑ 613.3%
#13

GPT-5.3 Instant
OpenAI

$0.021175 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 136.3%
vs Claude Haiku 4.6: ↑ 613.3%
#14

Grok 4.20 Beta
xAI

$0.023450 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 161.6%
vs Claude Haiku 4.6: ↑ 689.9%
#15

Gemini 2.5 Pro
Google

$0.030250
vs GPT-5.4 mini: ↑ 237.5%
vs Claude Haiku 4.6: ↑ 918.9%
#16

Claude Sonnet 4.6
Anthropic

$0.035625 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 297.5%
vs Claude Haiku 4.6: ↑ 1100%
#17

Gemini 3.1 Pro
Google

$0.047800 (rounded ~ $0.05)
vs GPT-5.4 mini: ↑ 433.3%
vs Claude Haiku 4.6: ↑ 1510.1%
#18

Claude Opus 4.7
Anthropic

$0.059375
vs GPT-5.4 mini: ↑ 562.5%
vs Claude Haiku 4.6: ↑ 1900%
#19

Claude Opus 4.8
Anthropic

$0.059375
vs GPT-5.4 mini: ↑ 562.5%
vs Claude Haiku 4.6: ↑ 1900%
#20

Claude Opus 4.6
Anthropic

$0.059375
vs GPT-5.4 mini: ↑ 562.5%
vs Claude Haiku 4.6: ↑ 1900%
#21

GPT-5.4
OpenAI

$0.059750
vs GPT-5.4 mini: ↑ 566.7%
vs Claude Haiku 4.6: ↑ 1912.6%
#22

GPT-5.4 Thinking
OpenAI

$0.059750
vs GPT-5.4 mini: ↑ 566.7%
vs Claude Haiku 4.6: ↑ 1912.6%
#23

GPT-5.5 Instant
OpenAI

$0.059750
vs GPT-5.4 mini: ↑ 566.7%
vs Claude Haiku 4.6: ↑ 1912.6%
#24

o3 Deep Research
OpenAI

$0.118000 (rounded ~ $0.12)
vs GPT-5.4 mini: ↑ 1216.6%
vs Claude Haiku 4.6: ↑ 3874.7%
#25

GPT-5.5
OpenAI

$0.119500
vs GPT-5.4 mini: ↑ 1233.3%
vs Claude Haiku 4.6: ↑ 3925.3%
#26

o3 Pro
OpenAI

$0.236000 (rounded ~ $0.24)
vs GPT-5.4 mini: ↑ 2533.2%
vs Claude Haiku 4.6: ↑ 7849.5%
#27

GPT-5.2 Pro
OpenAI

$0.254100 (rounded ~ $0.25)
vs GPT-5.4 mini: ↑ 2735.1%
vs Claude Haiku 4.6: ↑ 8459.2%
#28

GPT-5.2 Pro
OpenAI

$0.254100 (rounded ~ $0.25)
vs GPT-5.4 mini: ↑ 2735.1%
vs Claude Haiku 4.6: ↑ 8459.2%
✨ 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.

The Duel for Efficient Chat Pipelines

In the landscape of high-frequency AI deployments, the battle between GPT-5.4 mini and Claude Haiku 4.6 is defined by two different engineering philosophies. Both models are built to serve as the backbone for low-latency, high-volume chat pipelines, yet they offer distinct advantages for teams building customer-facing interfaces.

GPT-5.4 mini: The Versatile Specialist

OpenAI’s GPT-5.4 mini is engineered as an agentic powerhouse. It shines in complex, multi-step chat scenarios where the model needs to navigate tools, search external knowledge bases, and perform function calls reliably. For social media managers or support leads, this means the model is highly capable of handling tasks that go beyond simple Q&A, such as updating account details or triggering internal workflow automations.

Claude Haiku 4.6: The Speed Demon

Anthropic’s Claude Haiku 4.6 is optimized for raw speed and cost efficiency. It is often the preferred choice for applications where the primary goal is minimizing response delay. Its architecture is particularly well-suited for straightforward, conversational tasks where the priority is to provide a snappy, human-like interaction. It excels in environments where token throughput is massive and consistent performance is required across varying query types.

Decision Factors:

  • Tooling Needs: Choose GPT-5.4 mini if your chat pipeline requires deep, reliable integration with third-party tools and complex agentic planning.
  • Latency Targets: Choose Claude Haiku 4.6 if your primary KPI is the absolute lowest possible latency for standard customer interactions.

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.