GPT-5.4 mini OpenAI
$0.045750 (rounded ~ $0.05)
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)
$0.079500
Input: $0.075000 (rounded ~ $0.08)
Output: $0.004500
Output: $0.004500
Optimized Cost
$0.045750 (rounded ~ $0.05)
Input: $0.075000 (rounded ~ $0.08)
Output: $0.004500
Unit: $0.000000
Fees: $0.000000
Output: $0.004500
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.033750 (rounded ~ $0.03)
42.5% discount
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,000 output tokens:
- Input Cost: $0.075000 (rounded ~ $0.08)
- Output Cost: $0.004500
- Total Cost: $0.045750 (rounded ~ $0.05)
- Cost per 1K tokens: $0.000453
- Tokens per dollar: 2,207,650 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, 28.24 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 485 tokens/second (temperature-adjusted)
Best Use Cases
Routine internal Q&A and policy lookups where speed and low cost are prioritized.
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.
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← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens:
100,000
Output Tokens:
1,000
Cached Tokens:
50%
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 mini |
|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.006000 (rounded ~ $0.01) Best Value | ↓ 86.9% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.006000 (rounded ~ $0.01) | ↓ 86.9% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.012200 (rounded ~ $0.01) | ↓ 73.3% cheaper |
| #4 |
Grok Code Fast 1
xAI
|
$0.012500 (rounded ~ $0.01) | ↓ 72.7% cheaper |
| #5 |
Gemini 3.1 Flash Lite
Google
|
$0.015250 (rounded ~ $0.02) | ↓ 66.7% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.019000 (rounded ~ $0.02) | ↓ 58.5% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.019000 (rounded ~ $0.02) | ↓ 58.5% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.029000 | ↓ 36.6% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.030500 | ↓ 33.3% cheaper |
| #10 |
Gemini 3.8 Flash
Google
|
$0.045000 (rounded ~ $0.05) | ↓ 1.6% cheaper |
| #11 |
Gemini 3.6 Flash
Google
|
$0.045000 (rounded ~ $0.05) | ↓ 1.6% cheaper |
| #12 |
Grok Build 0.1
xAI
|
$0.057000 (rounded ~ $0.06) | ↑ 24.6% more |
| #13 |
Claude Haiku 4.5
Anthropic
|
$0.060000 | ↑ 31.1% more |
| #14 |
Grok 4.3
xAI
|
$0.071250 (rounded ~ $0.07) | ↑ 55.7% more |
| #15 |
Grok 4.20 Beta
xAI
|
$0.071250 (rounded ~ $0.07) | ↑ 55.7% more |
| #16 |
Gemini 2.5 Pro
Google
|
$0.078750 (rounded ~ $0.08) | ↑ 72.1% more |
| #17 |
Mistral Large 4
Mistral AI
|
$0.078980 (rounded ~ $0.08) | ↑ 72.6% more |
| #18 |
GPT-5.3 Codex Spark
OpenAI
|
$0.110250 | ↑ 141% more |
| #19 |
GPT-5.3 Instant
OpenAI
|
$0.110250 | ↑ 141% more |
| #20 |
Claude Sonnet 5.5
Anthropic
|
$0.115000 (rounded ~ $0.12) | ↑ 151.4% more |
| #21 |
Grok 4.7
xAI
|
$0.116000 (rounded ~ $0.12) | ↑ 153.6% more |
| #22 |
Grok 4.6
xAI
|
$0.116000 (rounded ~ $0.12) | ↑ 153.6% more |
| #23 |
Grok 4.5
xAI
|
$0.116000 (rounded ~ $0.12) | ↑ 153.6% more |
| #24 |
Gemini 4 Argon
Google
|
$0.120000 | ↑ 162.3% more |
| #25 |
GPT-6.1 Sol
OpenAI
|
$0.120000 | ↑ 162.3% more |
| #26 |
GPT-6 Sol
OpenAI
|
$0.120000 | ↑ 162.3% more |
| #27 |
Claude Sonnet 5
Anthropic
|
$0.120000 | ↑ 162.3% more |
| #28 |
Gemini 3.1 Pro
Google
|
$0.122000 (rounded ~ $0.12) | ↑ 166.7% more |
| #29 |
GPT-5.6 Terra
OpenAI
|
$0.122000 (rounded ~ $0.12) | ↑ 166.7% more |
| #30 |
Kimi K3.1 Pro
Moonshot AI
|
$0.127000 (rounded ~ $0.13) | ↑ 177.6% more |
| #31 |
GPT-5.4
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↑ 233.3% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↑ 233.3% more |
| #33 |
Claude Sonnet 4.6
Anthropic
|
$0.180000 | ↑ 293.4% more |
| #34 |
Kimi K3
Moonshot AI
|
$0.190500 | ↑ 316.4% more |
| #35 |
Claude Opus 5.5
Anthropic
|
$0.230000 | ↑ 402.7% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.240000 | ↑ 424.6% more |
| #37 |
Claude Opus 4.7
Anthropic
|
$0.300000 | ↑ 555.7% more |
| #38 |
Claude Opus 5
Anthropic
|
$0.300000 | ↑ 555.7% more |
| #39 |
Claude Opus 4.8
Anthropic
|
$0.300000 | ↑ 555.7% more |
| #40 |
Claude Opus 4.6
Anthropic
|
$0.300000 | ↑ 555.7% more |
| #41 |
GPT-5.5
OpenAI
|
$0.305000 (rounded ~ $0.31) | ↑ 566.7% more |
| #42 |
GPT-5.5 Instant
OpenAI
|
$0.305000 (rounded ~ $0.31) | ↑ 566.7% more |
| #43 |
Muse Wonder 1.0
Meta AI
|
$0.420000 | ↑ 818% more |
| #44 |
Claude Fable 5.1
Anthropic
|
$0.562500 (rounded ~ $0.56) | ↑ 1129.5% more |
| #45 |
Claude Mythos 5.1
Anthropic
|
$0.562500 (rounded ~ $0.56) | ↑ 1129.5% more |
| #46 |
Claude Fable 5
Anthropic
|
$0.600000 | ↑ 1211.5% more |
| #47 |
Claude Mythos 5
Anthropic
|
$0.600000 | ↑ 1211.5% more |
| #48 |
GPT-6 Astra
OpenAI
|
$0.600000 | ↑ 1211.5% more |
| #49 |
GPT-5.2 Pro
OpenAI
|
$1.323000 (rounded ~ $1.32) | ↑ 2791.8% more |
| #50 |
GPT-5.2 Pro
OpenAI
|
$1.323000 (rounded ~ $1.32) | ↑ 2791.8% more |
🏆
Claude Haiku 5.5
Claude Haiku 5.5 Anthropic
$0.006000 (rounded ~ $0.01)
vs GPT-5.4 mini:
↓ 86.9%
🥈
GPT-6 Luna
GPT-6 Luna OpenAI
$0.006000 (rounded ~ $0.01)
vs GPT-5.4 mini:
↓ 86.9%
🥉
GPT-5.6 Luna
GPT-5.6 Luna OpenAI
$0.012200 (rounded ~ $0.01)
vs GPT-5.4 mini:
↓ 73.3%
#4
Grok Code Fast 1
Grok Code Fast 1 xAI
$0.012500 (rounded ~ $0.01)
vs GPT-5.4 mini:
↓ 72.7%
#5
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.015250 (rounded ~ $0.02)
vs GPT-5.4 mini:
↓ 66.7%
#6
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite Google
$0.019000 (rounded ~ $0.02)
vs GPT-5.4 mini:
↓ 58.5%
#7
Gemini 2.5 Flash
Gemini 2.5 Flash Google
$0.019000 (rounded ~ $0.02)
vs GPT-5.4 mini:
↓ 58.5%
#8
Mistral Large 3
Mistral Large 3 Mistral AI
$0.029000
vs GPT-5.4 mini:
↓ 36.6%
#9
Gemini 3.1 Flash
Gemini 3.1 Flash Google
$0.030500
vs GPT-5.4 mini:
↓ 33.3%
#10
Gemini 3.8 Flash
Gemini 3.8 Flash Google
$0.045000 (rounded ~ $0.05)
vs GPT-5.4 mini:
↓ 1.6%
#11
Gemini 3.6 Flash
Gemini 3.6 Flash Google
$0.045000 (rounded ~ $0.05)
vs GPT-5.4 mini:
↓ 1.6%
#12
Grok Build 0.1
Grok Build 0.1 xAI
$0.057000 (rounded ~ $0.06)
vs GPT-5.4 mini:
↑ 24.6%
#13
Claude Haiku 4.5
Claude Haiku 4.5 Anthropic
$0.060000
vs GPT-5.4 mini:
↑ 31.1%
#14
Grok 4.3
Grok 4.3 xAI
$0.071250 (rounded ~ $0.07)
vs GPT-5.4 mini:
↑ 55.7%
#15
Grok 4.20 Beta
Grok 4.20 Beta xAI
$0.071250 (rounded ~ $0.07)
vs GPT-5.4 mini:
↑ 55.7%
#16
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$0.078750 (rounded ~ $0.08)
vs GPT-5.4 mini:
↑ 72.1%
#17
Mistral Large 4
Mistral Large 4 Mistral AI
$0.078980 (rounded ~ $0.08)
vs GPT-5.4 mini:
↑ 72.6%
#18
GPT-5.3 Codex Spark
GPT-5.3 Codex Spark OpenAI
$0.110250
vs GPT-5.4 mini:
↑ 141%
#19
GPT-5.3 Instant
GPT-5.3 Instant OpenAI
$0.110250
vs GPT-5.4 mini:
↑ 141%
#20
Claude Sonnet 5.5
Claude Sonnet 5.5 Anthropic
$0.115000 (rounded ~ $0.12)
vs GPT-5.4 mini:
↑ 151.4%
#21
Grok 4.7
Grok 4.7 xAI
$0.116000 (rounded ~ $0.12)
vs GPT-5.4 mini:
↑ 153.6%
#22
Grok 4.6
Grok 4.6 xAI
$0.116000 (rounded ~ $0.12)
vs GPT-5.4 mini:
↑ 153.6%
#23
Grok 4.5
Grok 4.5 xAI
$0.116000 (rounded ~ $0.12)
vs GPT-5.4 mini:
↑ 153.6%
#24
Gemini 4 Argon
Gemini 4 Argon Google
$0.120000
vs GPT-5.4 mini:
↑ 162.3%
#25
GPT-6.1 Sol
GPT-6.1 Sol OpenAI
$0.120000
vs GPT-5.4 mini:
↑ 162.3%
#26
GPT-6 Sol
GPT-6 Sol OpenAI
$0.120000
vs GPT-5.4 mini:
↑ 162.3%
#27
Claude Sonnet 5
Claude Sonnet 5 Anthropic
$0.120000
vs GPT-5.4 mini:
↑ 162.3%
#28
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.122000 (rounded ~ $0.12)
vs GPT-5.4 mini:
↑ 166.7%
#29
GPT-5.6 Terra
GPT-5.6 Terra OpenAI
$0.122000 (rounded ~ $0.12)
vs GPT-5.4 mini:
↑ 166.7%
#30
Kimi K3.1 Pro
Kimi K3.1 Pro Moonshot AI
$0.127000 (rounded ~ $0.13)
vs GPT-5.4 mini:
↑ 177.6%
#31
GPT-5.4
GPT-5.4 OpenAI
$0.152500 (rounded ~ $0.15)
vs GPT-5.4 mini:
↑ 233.3%
#32
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.152500 (rounded ~ $0.15)
vs GPT-5.4 mini:
↑ 233.3%
#33
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.180000
vs GPT-5.4 mini:
↑ 293.4%
#34
Kimi K3
Kimi K3 Moonshot AI
$0.190500
vs GPT-5.4 mini:
↑ 316.4%
#35
Claude Opus 5.5
Claude Opus 5.5 Anthropic
$0.230000
vs GPT-5.4 mini:
↑ 402.7%
#36
GPT-5.6 Sol
GPT-5.6 Sol OpenAI
$0.240000
vs GPT-5.4 mini:
↑ 424.6%
#37
Claude Opus 4.7
Claude Opus 4.7 Anthropic
$0.300000
vs GPT-5.4 mini:
↑ 555.7%
#38
Claude Opus 5
Claude Opus 5 Anthropic
$0.300000
vs GPT-5.4 mini:
↑ 555.7%
#39
Claude Opus 4.8
Claude Opus 4.8 Anthropic
$0.300000
vs GPT-5.4 mini:
↑ 555.7%
#40
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.300000
vs GPT-5.4 mini:
↑ 555.7%
#41
GPT-5.5
GPT-5.5 OpenAI
$0.305000 (rounded ~ $0.31)
vs GPT-5.4 mini:
↑ 566.7%
#42
GPT-5.5 Instant
GPT-5.5 Instant OpenAI
$0.305000 (rounded ~ $0.31)
vs GPT-5.4 mini:
↑ 566.7%
#43
Muse Wonder 1.0
Muse Wonder 1.0 Meta AI
$0.420000
vs GPT-5.4 mini:
↑ 818%
#44
Claude Fable 5.1
Claude Fable 5.1 Anthropic
$0.562500 (rounded ~ $0.56)
vs GPT-5.4 mini:
↑ 1129.5%
#45
Claude Mythos 5.1
Claude Mythos 5.1 Anthropic
$0.562500 (rounded ~ $0.56)
vs GPT-5.4 mini:
↑ 1129.5%
#46
Claude Fable 5
Claude Fable 5 Anthropic
$0.600000
vs GPT-5.4 mini:
↑ 1211.5%
#47
Claude Mythos 5
Claude Mythos 5 Anthropic
$0.600000
vs GPT-5.4 mini:
↑ 1211.5%
#48
GPT-6 Astra
GPT-6 Astra OpenAI
$0.600000
vs GPT-5.4 mini:
↑ 1211.5%
#49
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$1.323000 (rounded ~ $1.32)
vs GPT-5.4 mini:
↑ 2791.8%
#50
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$1.323000 (rounded ~ $1.32)
vs GPT-5.4 mini:
↑ 2791.8%
✨ 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 internal teams managing a 100K-token knowledge base, cost efficiency is often the priority. GPT-5.4 Mini offers a balanced performance profile, making it a strong contender for high-frequency internal Q&A where you need reliable, fast answers without the overhead of flagship reasoning models. By utilizing this model, developers can maintain responsiveness for employee queries while keeping operational expenses predictable. The model’s context window is well-suited for retrieving and synthesizing information from mid-sized document sets, ensuring that your RAG pipeline remains fast and lean. For teams focused on deploying internal support chatbots that handle routine employee questions—such as HR policies or IT troubleshooting—this model provides excellent value. Its ability to process text efficiently means you can scale your query volume without disproportionately increasing your API spend. We recommend this for teams that prioritize low-latency and cost-effective throughput over the absolute highest-tier reasoning capabilities. Since RAG systems often require consistent, low-latency performance, this model’s lightweight footprint ensures that your infrastructure budget can be allocated to other critical components like vector database indexing and re-ranking pipelines. It is an ideal entry point for developers building their first production-grade internal Q&A system.
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.