Mistral OCR 3 Mistral AI
$0.001000
Total Cost
Vision/Images
✗ Not Available
requested
Audio Processing
✗ Not Available
Video Analysis
✗ Not Available
Tool Usage
✗ Not Available
requested
OCR Support
✗ Not Available
Batch API
✓ Available
Caching
✗ Not Available
💰 Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$0.000000
Input: $0.000000
Output: $0.000000
Output: $0.000000
Optimized Cost
$0.001000
Input: $0.000000
Output: $0.000000
Unit: $0.000000
Fees: $0.000000
Output: $0.000000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
📄 OCR Processing
$0.002000 (rounded ~ 0.00)
1 pages
(Tiered: 1 @ $2.00/1k, 0 @ $1.50/1k)
📊 Batch API
50.0% off
Asynchronous processing discount
Detailed Cost Analysis (from Plugin)
For 25,000 input tokens and 5,000 output tokens:
- Input Cost: $0.000000
- Output Cost: $0.000000
- Total Cost: $0.001000
- Cost per 1K tokens: $0.000000
- Tokens per dollar: 0 tokens
- Context Window: tokens
- Thinking Source: (0 tokens)
Speed & Performance Analysis
With a processing speed of 300 tokens per second and 200ms time to first token:
- Processing Time: 0.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 0 tokens/second (temperature-adjusted)
Best Use Cases
High-fidelity extraction of text from weathered manuscripts.
✨ Market Recommendations AI Model Registry
← Back to Mistral OCR 3
📋 Active Input Parameters
Input Tokens:
25,000
Output Tokens:
5,000
Batch API:
Enabled (50% discount)
Cached Tokens:
30%
Images:
100 (High Resolution)
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs Mistral OCR 3 |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.002244 (rounded ~ 0.00) Best Value | ↑ 124.4% more |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.004738 (rounded ~ 0.00) | ↑ 373.8% more |
| 🥉 |
o4-mini Deep Research
OpenAI
|
$0.023688 (rounded ~ 0.02) | ↑ 2268.8% more |
| #4 |
o4-mini
OpenAI
|
$0.026057 (rounded ~ 0.03) | ↑ 2505.7% more |
| #5 |
Mistral Large 3
Mistral AI
|
$0.045876 (rounded ~ 0.05) | ↑ 4487.6% more |
| #6 |
GPT-5.3 Codex Spark
OpenAI
|
$0.050204 | ↑ 4920.4% more |
| #7 |
Grok 5
xAI
|
$0.074814 (rounded ~ 0.07) | ↑ 7381.4% more |
| #8 |
Gemini 3.1 Pro
Google
|
$0.104752 (rounded ~ 0.10) | ↑ 10375.2% more |
| #9 |
GPT-5.4 Thinking
OpenAI
|
$0.130940 | ↑ 12994% more |
| #10 |
Claude Sonnet 4.6
Anthropic
|
$0.147324 (rounded ~ 0.15) | ↑ 14632.4% more |
| #11 |
o3 Deep Research
OpenAI
|
$0.236880 (rounded ~ 0.24) | ↑ 23588% more |
| #12 |
Claude Opus 4.6
Anthropic
|
$0.245540 (rounded ~ 0.25) | ↑ 24454% more |
| #13 |
o3 Pro
OpenAI
|
$0.473760 (rounded ~ 0.47) | ↑ 47276% more |
| #14 |
GPT-5.2 Pro
OpenAI
|
$0.602448 (rounded ~ 0.60) | ↑ 60144.8% more |
| #15 |
GPT-5.2 Pro
OpenAI
|
$0.602448 (rounded ~ 0.60) | ↑ 60144.8% more |
🏆
Mistral Small 3
Mistral Small 3 Mistral AI
$0.002244 (rounded ~ 0.00)
vs Mistral OCR 3:
↑ 124.4%
🥈
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.004738 (rounded ~ 0.00)
vs Mistral OCR 3:
↑ 373.8%
🥉
o4-mini Deep Research
o4-mini Deep Research OpenAI
$0.023688 (rounded ~ 0.02)
vs Mistral OCR 3:
↑ 2268.8%
#4
o4-mini
o4-mini OpenAI
$0.026057 (rounded ~ 0.03)
vs Mistral OCR 3:
↑ 2505.7%
#5
Mistral Large 3
Mistral Large 3 Mistral AI
$0.045876 (rounded ~ 0.05)
vs Mistral OCR 3:
↑ 4487.6%
#6
GPT-5.3 Codex Spark
GPT-5.3 Codex Spark OpenAI
$0.050204
vs Mistral OCR 3:
↑ 4920.4%
#7
Grok 5
Grok 5 xAI
$0.074814 (rounded ~ 0.07)
vs Mistral OCR 3:
↑ 7381.4%
#8
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.104752 (rounded ~ 0.10)
vs Mistral OCR 3:
↑ 10375.2%
#9
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.130940
vs Mistral OCR 3:
↑ 12994%
#10
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.147324 (rounded ~ 0.15)
vs Mistral OCR 3:
↑ 14632.4%
#11
o3 Deep Research
o3 Deep Research OpenAI
$0.236880 (rounded ~ 0.24)
vs Mistral OCR 3:
↑ 23588%
#12
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.245540 (rounded ~ 0.25)
vs Mistral OCR 3:
↑ 24454%
#13
o3 Pro
o3 Pro OpenAI
$0.473760 (rounded ~ 0.47)
vs Mistral OCR 3:
↑ 47276%
#14
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.602448 (rounded ~ 0.60)
vs Mistral OCR 3:
↑ 60144.8%
#15
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.602448 (rounded ~ 0.60)
vs Mistral OCR 3:
↑ 60144.8%
✨ 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.
High-fidelity extraction of text from weathered manuscripts.
Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.
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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.