GPT-5.4 mini OpenAI
$0.000778
Total Cost
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)
$0.000863
Input: $0.000188
Output: $0.000675
Output: $0.000675
Optimized Cost
$0.000778
Input: $0.000188
Output: $0.000675
Unit: $0.000000
Fees: $0.000000
Output: $0.000675
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.000084
9.8% discount
Advanced Cost Breakdown (from Plugin)
📊 Batch API
50.0% off
Asynchronous processing discount
Detailed Cost Analysis (from Plugin)
For 1,000 input tokens and 600 output tokens:
- Input Cost: $0.000188
- Output Cost: $0.000675
- Total Cost: $0.000778
- Cost per 1K tokens: $0.000486
- Tokens per dollar: 2,056,225 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: 3.60 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 tokens/second (temperature-adjusted)
Best Use Cases
High-volumetemplate-based email drafting for sales outreach and automated communication.
Want this applied to YOUR actual stack?
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← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens:
1,000
Output Tokens:
600
Batch API:
Enabled (50% discount)
Cached Tokens:
50%
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 mini |
|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.000178 Best Value | ↓ 77.2% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.000178 | ↓ 77.2% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.000208 | ↓ 73.3% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.000259 | ↓ 66.7% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.000294 | ↓ 62.2% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.000416 | ↓ 46.5% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.000416 | ↓ 46.5% cheaper |
| #8 |
Gemini 3.8 Flash
Google
|
$0.000666 | ↓ 14.5% cheaper |
| #9 |
Gemini 3.6 Flash
Google
|
$0.000666 | ↓ 14.5% cheaper |
| #10 |
Mistral Large 4
Mistral AI
|
$0.000814 | ↑ 4.6% more |
| #11 |
Claude Haiku 4.5
Anthropic
|
$0.000888 | ↑ 14.1% more |
| #12 |
Gemini 3.1 Flash
Google
|
$0.001038 | ↑ 33.3% more |
| #13 |
Grok 4.3
xAI
|
$0.001750 | ↑ 124.9% more |
| #14 |
Grok 4.20 Beta
xAI
|
$0.001750 | ↑ 124.9% more |
| #15 |
Claude Sonnet 5.5
Anthropic
|
$0.001763 | ↑ 126.5% more |
| #16 |
Claude Sonnet 5
Anthropic
|
$0.001775 | ↑ 128.1% more |
| #17 |
Gemini 4 Argon
Google
|
$0.001775 | ↑ 128.1% more |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.002075 | ↑ 166.7% more |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.002341 | ↑ 200.8% more |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.002341 | ↑ 200.8% more |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.002663 | ↑ 242.2% more |
| #22 |
Gemini 2.5 Pro
Google
|
$0.003344 | ↑ 329.7% more |
| #23 |
Claude Opus 5.5
Anthropic
|
$0.003525 | ↑ 353% more |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.003550 | ↑ 356.2% more |
| #25 |
GPT-6 Sol
OpenAI
|
$0.003550 | ↑ 356.2% more |
| #26 |
GPT-5.6 Sol
OpenAI
|
$0.003550 | ↑ 356.2% more |
| #27 |
Gemini 3.1 Pro
Google
|
$0.004150 | ↑ 433.3% more |
| #28 |
Claude Opus 4.7
Anthropic
|
$0.004438 | ↑ 470.3% more |
| #29 |
Claude Opus 5
Anthropic
|
$0.004438 | ↑ 470.3% more |
| #30 |
Claude Opus 4.8
Anthropic
|
$0.004438 | ↑ 470.3% more |
| #31 |
Claude Opus 4.6
Anthropic
|
$0.004438 | ↑ 470.3% more |
| #32 |
GPT-5.4
OpenAI
|
$0.005188 (rounded ~ $0.01) | ↑ 566.7% more |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.005188 (rounded ~ $0.01) | ↑ 566.7% more |
| #34 |
GPT-5.5 Instant
OpenAI
|
$0.005188 (rounded ~ $0.01) | ↑ 566.7% more |
| #35 |
Claude Fable 5.1
Anthropic
|
$0.008781 (rounded ~ $0.01) | ↑ 1028.5% more |
| #36 |
Claude Mythos 5.1
Anthropic
|
$0.008781 (rounded ~ $0.01) | ↑ 1028.5% more |
| #37 |
Claude Fable 5
Anthropic
|
$0.008875 (rounded ~ $0.01) | ↑ 1040.6% more |
| #38 |
Claude Mythos 5
Anthropic
|
$0.008875 (rounded ~ $0.01) | ↑ 1040.6% more |
| #39 |
GPT-5.5
OpenAI
|
$0.010375 | ↑ 1233.3% more |
| #40 |
GPT-6 Astra
OpenAI
|
$0.017750 (rounded ~ $0.02) | ↑ 2181.1% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.028088 (rounded ~ $0.03) | ↑ 3509.6% more |
| #42 |
GPT-5.2 Pro
OpenAI
|
$0.028088 (rounded ~ $0.03) | ↑ 3509.6% more |
🏆
Claude Haiku 5.5
Claude Haiku 5.5 Anthropic
$0.000178
vs GPT-5.4 mini:
↓ 77.2%
🥈
GPT-6 Luna
GPT-6 Luna OpenAI
$0.000178
vs GPT-5.4 mini:
↓ 77.2%
🥉
GPT-5.6 Luna
GPT-5.6 Luna OpenAI
$0.000208
vs GPT-5.4 mini:
↓ 73.3%
#4
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.000259
vs GPT-5.4 mini:
↓ 66.7%
#5
Mistral Large 3
Mistral Large 3 Mistral AI
$0.000294
vs GPT-5.4 mini:
↓ 62.2%
#6
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite Google
$0.000416
vs GPT-5.4 mini:
↓ 46.5%
#7
Gemini 2.5 Flash
Gemini 2.5 Flash Google
$0.000416
vs GPT-5.4 mini:
↓ 46.5%
#8
Gemini 3.8 Flash
Gemini 3.8 Flash Google
$0.000666
vs GPT-5.4 mini:
↓ 14.5%
#9
Gemini 3.6 Flash
Gemini 3.6 Flash Google
$0.000666
vs GPT-5.4 mini:
↓ 14.5%
#10
Mistral Large 4
Mistral Large 4 Mistral AI
$0.000814
vs GPT-5.4 mini:
↑ 4.6%
#11
Claude Haiku 4.5
Claude Haiku 4.5 Anthropic
$0.000888
vs GPT-5.4 mini:
↑ 14.1%
#12
Gemini 3.1 Flash
Gemini 3.1 Flash Google
$0.001038
vs GPT-5.4 mini:
↑ 33.3%
#13
Grok 4.3
Grok 4.3 xAI
$0.001750
vs GPT-5.4 mini:
↑ 124.9%
#14
Grok 4.20 Beta
Grok 4.20 Beta xAI
$0.001750
vs GPT-5.4 mini:
↑ 124.9%
#15
Claude Sonnet 5.5
Claude Sonnet 5.5 Anthropic
$0.001763
vs GPT-5.4 mini:
↑ 126.5%
#16
Claude Sonnet 5
Claude Sonnet 5 Anthropic
$0.001775
vs GPT-5.4 mini:
↑ 128.1%
#17
Gemini 4 Argon
Gemini 4 Argon Google
$0.001775
vs GPT-5.4 mini:
↑ 128.1%
#18
GPT-5.6 Terra
GPT-5.6 Terra OpenAI
$0.002075
vs GPT-5.4 mini:
↑ 166.7%
#19
GPT-5.3 Codex Spark
GPT-5.3 Codex Spark OpenAI
$0.002341
vs GPT-5.4 mini:
↑ 200.8%
#20
GPT-5.3 Instant
GPT-5.3 Instant OpenAI
$0.002341
vs GPT-5.4 mini:
↑ 200.8%
#21
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.002663
vs GPT-5.4 mini:
↑ 242.2%
#22
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$0.003344
vs GPT-5.4 mini:
↑ 329.7%
#23
Claude Opus 5.5
Claude Opus 5.5 Anthropic
$0.003525
vs GPT-5.4 mini:
↑ 353%
#24
GPT-6.1 Sol
GPT-6.1 Sol OpenAI
$0.003550
vs GPT-5.4 mini:
↑ 356.2%
#25
GPT-6 Sol
GPT-6 Sol OpenAI
$0.003550
vs GPT-5.4 mini:
↑ 356.2%
#26
GPT-5.6 Sol
GPT-5.6 Sol OpenAI
$0.003550
vs GPT-5.4 mini:
↑ 356.2%
#27
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.004150
vs GPT-5.4 mini:
↑ 433.3%
#28
Claude Opus 4.7
Claude Opus 4.7 Anthropic
$0.004438
vs GPT-5.4 mini:
↑ 470.3%
#29
Claude Opus 5
Claude Opus 5 Anthropic
$0.004438
vs GPT-5.4 mini:
↑ 470.3%
#30
Claude Opus 4.8
Claude Opus 4.8 Anthropic
$0.004438
vs GPT-5.4 mini:
↑ 470.3%
#31
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.004438
vs GPT-5.4 mini:
↑ 470.3%
#32
GPT-5.4
GPT-5.4 OpenAI
$0.005188 (rounded ~ $0.01)
vs GPT-5.4 mini:
↑ 566.7%
#33
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.005188 (rounded ~ $0.01)
vs GPT-5.4 mini:
↑ 566.7%
#34
GPT-5.5 Instant
GPT-5.5 Instant OpenAI
$0.005188 (rounded ~ $0.01)
vs GPT-5.4 mini:
↑ 566.7%
#35
Claude Fable 5.1
Claude Fable 5.1 Anthropic
$0.008781 (rounded ~ $0.01)
vs GPT-5.4 mini:
↑ 1028.5%
#36
Claude Mythos 5.1
Claude Mythos 5.1 Anthropic
$0.008781 (rounded ~ $0.01)
vs GPT-5.4 mini:
↑ 1028.5%
#37
Claude Fable 5
Claude Fable 5 Anthropic
$0.008875 (rounded ~ $0.01)
vs GPT-5.4 mini:
↑ 1040.6%
#38
Claude Mythos 5
Claude Mythos 5 Anthropic
$0.008875 (rounded ~ $0.01)
vs GPT-5.4 mini:
↑ 1040.6%
#39
GPT-5.5
GPT-5.5 OpenAI
$0.010375
vs GPT-5.4 mini:
↑ 1233.3%
#40
GPT-6 Astra
GPT-6 Astra OpenAI
$0.017750 (rounded ~ $0.02)
vs GPT-5.4 mini:
↑ 2181.1%
#41
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.028088 (rounded ~ $0.03)
vs GPT-5.4 mini:
↑ 3509.6%
#42
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.028088 (rounded ~ $0.03)
vs GPT-5.4 mini:
↑ 3509.6%
✨ 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.
For high-volume email drafting, the primary objective is balancing response quality with consistent, predictable performance. Professionals managing hundreds of personalized emails daily need a model that can reliably follow instructions without requiring extensive manual re-editing. GPT-5.4 mini offers a compelling balance here, excelling at structured generation while maintaining the low-latency response times necessary for real-time inbox integration. In high-volume environments, efficiency is not just about raw speed but about minimizing the ‘fix-up’ loop—the time spent correcting the AI’s tone or factual slips. This model demonstrates strong adherence to defined brand voices, making it a reliable choice for teams that need to scale outreach while maintaining a human-like touch. When evaluating this model for your email pipeline, consider how its instruction-following capabilities align with your specific prompt complexity. If your drafting tasks involve simple, template-based outreach, this model provides excellent ROI. However, if your drafts require complex reasoning—such as synthesizing data from multiple internal documents or tailoring responses to nuanced client objections—you might find that moving up the model tier pays for itself by reducing human oversight. For enterprise users, the key is evaluating this model against your existing drafting latency and the percentage of drafts that require human intervention. When integrated effectively, it serves as a foundational engine for automated, personalized communication at scale, allowing your team to focus on strategy rather than repetitive drafting.
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.