o4-mini OpenAI
$0.020625
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)
$0.033000 (rounded ~ $0.03)
Input: $0.027500 (rounded ~ $0.03)
Output: $0.005500 (rounded ~ $0.01)
Output: $0.005500 (rounded ~ $0.01)
Optimized Cost
$0.020625
Input: $0.027500 (rounded ~ $0.03)
Output: $0.005500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Output: $0.005500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.012375 (rounded ~ $0.01)
37.5% 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 5,000 output tokens:
- Input Cost: $0.027500 (rounded ~ $0.03)
- Output Cost: $0.005500 (rounded ~ $0.01)
- Total Cost: $0.020625
- Cost per 1K tokens: $0.000196
- Tokens per dollar: 5,090,909 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 180 tokens per second and 280ms time to first token:
- Processing Time: 10 minutes, 6.85 seconds
- Latency: 280 milliseconds to first token
- Base Throughput: 180 tokens/second
- Effective Throughput: 173 tokens/second (temperature-adjusted)
Best Use Cases
Reasoning-heavy correction of OCR errors and normalization of historical archival text.
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← Back to o4-mini
📋 Active Input Parameters
Input Tokens:
100,000
Output Tokens:
5,000
Batch API:
Enabled (50% discount)
Cached Tokens:
50%
| Rank | AI Model & Provider | Total Cost | vs o4-mini |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001750 Best Value | ↓ 91.5% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.001750 | ↓ 91.5% cheaper |
| 🥉 |
Nemotron 3 Super
NVIDIA
|
$0.005150 (rounded ~ $0.01) | ↓ 75% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.005313 (rounded ~ $0.01) | ↓ 74.2% cheaper |
| #5 |
Devstral 2
Mistral AI
|
$0.006625 (rounded ~ $0.01) | ↓ 67.9% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.007250 (rounded ~ $0.01) | ↓ 64.8% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.007250 (rounded ~ $0.01) | ↓ 64.8% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.008750 (rounded ~ $0.01) | ↓ 57.6% cheaper |
| #9 |
Gemini 3.8 Flash
Google
|
$0.015000 (rounded ~ $0.02) | ↓ 27.3% cheaper |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.015938 (rounded ~ $0.02) | ↓ 22.7% cheaper |
| #11 |
o4-mini Deep Research
OpenAI
|
$0.018750 (rounded ~ $0.02) | ↓ 9.1% cheaper |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.020000 | ↓ 3% cheaper |
| #13 |
Gemini 3.1 Flash
Google
|
$0.021250 (rounded ~ $0.02) | ↑ 3% more |
| #14 |
GPT-5.6 Luna
OpenAI
|
$0.021250 (rounded ~ $0.02) | ↑ 3% more |
| #15 |
Gemini 3.6 Flash
Google
|
$0.030000 | ↑ 45.5% more |
| #16 |
Gemini 3.5 Flash
Google
|
$0.031875 (rounded ~ $0.03) | ↑ 54.5% more |
| #17 |
Magistral Medium
Mistral AI
|
$0.033750 (rounded ~ $0.03) | ↑ 63.6% more |
| #18 |
Claude Sonnet 5
Anthropic
|
$0.040000 | ↑ 93.9% more |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.041563 (rounded ~ $0.04) | ↑ 101.5% more |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.041563 (rounded ~ $0.04) | ↑ 101.5% more |
| #21 |
GPT-5.6 Terra
OpenAI
|
$0.053125 (rounded ~ $0.05) | ↑ 157.6% more |
| #22 |
Gemini 2.5 Pro
Google
|
$0.059375 | ↑ 187.9% more |
| #23 |
Claude Sonnet 4.6
Anthropic
|
$0.060000 | ↑ 190.9% more |
| #24 |
Grok 4.3
xAI
|
$0.065000 (rounded ~ $0.07) | ↑ 215.2% more |
| #25 |
Grok 4.20 Beta
xAI
|
$0.065000 (rounded ~ $0.07) | ↑ 215.2% more |
| #26 |
Gemini 3.1 Pro
Google
|
$0.085000 (rounded ~ $0.09) | ↑ 312.1% more |
| #27 |
Claude Opus 4.7
Anthropic
|
$0.100000 | ↑ 384.8% more |
| #28 |
Claude Opus 5
Anthropic
|
$0.100000 | ↑ 384.8% more |
| #29 |
Claude Opus 4.8
Anthropic
|
$0.100000 | ↑ 384.8% more |
| #30 |
Claude Opus 4.6
Anthropic
|
$0.100000 | ↑ 384.8% more |
| #31 |
GPT-5.4
OpenAI
|
$0.106250 (rounded ~ $0.11) | ↑ 415.2% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.106250 (rounded ~ $0.11) | ↑ 415.2% more |
| #33 |
GPT-5.5 Instant
OpenAI
|
$0.106250 (rounded ~ $0.11) | ↑ 415.2% more |
| #34 |
GPT-5.6 Sol
OpenAI
|
$0.106250 (rounded ~ $0.11) | ↑ 415.2% more |
| #35 |
o3 Deep Research
OpenAI
|
$0.187500 (rounded ~ $0.19) | ↑ 809.1% more |
| #36 |
Claude Fable 5.1
Anthropic
|
$0.190625 | ↑ 824.2% more |
| #37 |
Claude Mythos 5.1
Anthropic
|
$0.190625 | ↑ 824.2% more |
| #38 |
Claude Fable 5
Anthropic
|
$0.200000 | ↑ 869.7% more |
| #39 |
Claude Mythos 5
Anthropic
|
$0.200000 | ↑ 869.7% more |
| #40 |
GPT-5.5
OpenAI
|
$0.212500 (rounded ~ $0.21) | ↑ 930.3% more |
| #41 |
o3 Pro
OpenAI
|
$0.375000 (rounded ~ $0.38) | ↑ 1718.2% more |
| #42 |
GPT-6 Astra
OpenAI
|
$0.400000 | ↑ 1839.4% more |
| #43 |
GPT-5.2 Pro
OpenAI
|
$0.498750 (rounded ~ $0.50) | ↑ 2318.2% more |
| #44 |
GPT-5.2 Pro
OpenAI
|
$0.498750 (rounded ~ $0.50) | ↑ 2318.2% more |
🏆
Mistral Small 3
Mistral Small 3 Mistral AI
$0.001750
vs o4-mini:
↓ 91.5%
🥈
Devstral Small 2
Devstral Small 2 Mistral AI
$0.001750
vs o4-mini:
↓ 91.5%
🥉
Nemotron 3 Super
Nemotron 3 Super NVIDIA
$0.005150 (rounded ~ $0.01)
vs o4-mini:
↓ 75%
#4
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.005313 (rounded ~ $0.01)
vs o4-mini:
↓ 74.2%
#5
Devstral 2
Devstral 2 Mistral AI
$0.006625 (rounded ~ $0.01)
vs o4-mini:
↓ 67.9%
#6
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite Google
$0.007250 (rounded ~ $0.01)
vs o4-mini:
↓ 64.8%
#7
Gemini 2.5 Flash
Gemini 2.5 Flash Google
$0.007250 (rounded ~ $0.01)
vs o4-mini:
↓ 64.8%
#8
Mistral Large 3
Mistral Large 3 Mistral AI
$0.008750 (rounded ~ $0.01)
vs o4-mini:
↓ 57.6%
#9
Gemini 3.8 Flash
Gemini 3.8 Flash Google
$0.015000 (rounded ~ $0.02)
vs o4-mini:
↓ 27.3%
#10
GPT-5.4 mini
GPT-5.4 mini OpenAI
$0.015938 (rounded ~ $0.02)
vs o4-mini:
↓ 22.7%
#11
o4-mini Deep Research
o4-mini Deep Research OpenAI
$0.018750 (rounded ~ $0.02)
vs o4-mini:
↓ 9.1%
#12
Claude Haiku 4.5
Claude Haiku 4.5 Anthropic
$0.020000
vs o4-mini:
↓ 3%
#13
Gemini 3.1 Flash
Gemini 3.1 Flash Google
$0.021250 (rounded ~ $0.02)
vs o4-mini:
↑ 3%
#14
GPT-5.6 Luna
GPT-5.6 Luna OpenAI
$0.021250 (rounded ~ $0.02)
vs o4-mini:
↑ 3%
#15
Gemini 3.6 Flash
Gemini 3.6 Flash Google
$0.030000
vs o4-mini:
↑ 45.5%
#16
Gemini 3.5 Flash
Gemini 3.5 Flash Google
$0.031875 (rounded ~ $0.03)
vs o4-mini:
↑ 54.5%
#17
Magistral Medium
Magistral Medium Mistral AI
$0.033750 (rounded ~ $0.03)
vs o4-mini:
↑ 63.6%
#18
Claude Sonnet 5
Claude Sonnet 5 Anthropic
$0.040000
vs o4-mini:
↑ 93.9%
#19
GPT-5.3 Codex Spark
GPT-5.3 Codex Spark OpenAI
$0.041563 (rounded ~ $0.04)
vs o4-mini:
↑ 101.5%
#20
GPT-5.3 Instant
GPT-5.3 Instant OpenAI
$0.041563 (rounded ~ $0.04)
vs o4-mini:
↑ 101.5%
#21
GPT-5.6 Terra
GPT-5.6 Terra OpenAI
$0.053125 (rounded ~ $0.05)
vs o4-mini:
↑ 157.6%
#22
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$0.059375
vs o4-mini:
↑ 187.9%
#23
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.060000
vs o4-mini:
↑ 190.9%
#24
Grok 4.3
Grok 4.3 xAI
$0.065000 (rounded ~ $0.07)
vs o4-mini:
↑ 215.2%
#25
Grok 4.20 Beta
Grok 4.20 Beta xAI
$0.065000 (rounded ~ $0.07)
vs o4-mini:
↑ 215.2%
#26
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.085000 (rounded ~ $0.09)
vs o4-mini:
↑ 312.1%
#27
Claude Opus 4.7
Claude Opus 4.7 Anthropic
$0.100000
vs o4-mini:
↑ 384.8%
#28
Claude Opus 5
Claude Opus 5 Anthropic
$0.100000
vs o4-mini:
↑ 384.8%
#29
Claude Opus 4.8
Claude Opus 4.8 Anthropic
$0.100000
vs o4-mini:
↑ 384.8%
#30
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.100000
vs o4-mini:
↑ 384.8%
#31
GPT-5.4
GPT-5.4 OpenAI
$0.106250 (rounded ~ $0.11)
vs o4-mini:
↑ 415.2%
#32
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.106250 (rounded ~ $0.11)
vs o4-mini:
↑ 415.2%
#33
GPT-5.5 Instant
GPT-5.5 Instant OpenAI
$0.106250 (rounded ~ $0.11)
vs o4-mini:
↑ 415.2%
#34
GPT-5.6 Sol
GPT-5.6 Sol OpenAI
$0.106250 (rounded ~ $0.11)
vs o4-mini:
↑ 415.2%
#35
o3 Deep Research
o3 Deep Research OpenAI
$0.187500 (rounded ~ $0.19)
vs o4-mini:
↑ 809.1%
#36
Claude Fable 5.1
Claude Fable 5.1 Anthropic
$0.190625
vs o4-mini:
↑ 824.2%
#37
Claude Mythos 5.1
Claude Mythos 5.1 Anthropic
$0.190625
vs o4-mini:
↑ 824.2%
#38
Claude Fable 5
Claude Fable 5 Anthropic
$0.200000
vs o4-mini:
↑ 869.7%
#39
Claude Mythos 5
Claude Mythos 5 Anthropic
$0.200000
vs o4-mini:
↑ 869.7%
#40
GPT-5.5
GPT-5.5 OpenAI
$0.212500 (rounded ~ $0.21)
vs o4-mini:
↑ 930.3%
#41
o3 Pro
o3 Pro OpenAI
$0.375000 (rounded ~ $0.38)
vs o4-mini:
↑ 1718.2%
#42
GPT-6 Astra
GPT-6 Astra OpenAI
$0.400000
vs o4-mini:
↑ 1839.4%
#43
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.498750 (rounded ~ $0.50)
vs o4-mini:
↑ 2318.2%
#44
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.498750 (rounded ~ $0.50)
vs o4-mini:
↑ 2318.2%
✨ 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.
Refining Messy Archival Text
Even the best OCR processes can leave behind artifacts, typos, and structural errors that hinder the educational value of a document. o4-mini is a specialized reasoning model that excels at the complex task of correcting and normalizing messy text extracted from legacy archives. When processing 100,000 tokens of archival data, the model’s ability to ‘think’ through the context of a sentence allows it to make more accurate corrections than standard fast-chat models.
For creators, the qualitative benefit of using a reasoning-focused model like o4-mini lies in its deductive capabilities. If a historical document contains archaic spelling or damaged text, o4-mini can often infer the correct meaning based on the surrounding educational context. This level of logic is particularly useful for building high-quality textbooks or digital libraries where factual precision is non-negotiable. While the model may take more time to process each request compared to non-reasoning counterparts, the reduction in manual proofreading time for the creator is substantial. This makes it an excellent choice for small-scale projects where the goal is to produce professional-grade educational materials from imperfect historical sources.
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.