Mistral OCR 3 Mistral AI
💰 Total Cost Calculation (from Plugin)
Output: $0.000000
Output: $0.000000
Unit: $0.100000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 2,000 output tokens:
- Input Cost: $0.000000
- Output Cost: $0.000000
- Unit Cost: $0.100000
- Total Cost: $0.100000
- Cost per 1K tokens: $0.001923
- Tokens per dollar: 520,000 tokens
- Context Window: 65536 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: 2 minutes, 53.51 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 300 tokens/second
Best Use Cases
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This calculator shows the math for Mistral OCR 3. 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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💰 Total Cost Calculation (from Plugin)
Output: $0.000750
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 25,800
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 2,000 output tokens:
- Input Cost: $0.004738
- Output Cost: $0.000750
- Total Cost: $0.004635
- Cost per 1K tokens: $0.000060
- Tokens per dollar: 16,786,234 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 1,000 tokens per second and 80ms time to first token:
- Processing Time: 1 minute, 19.54 seconds
- Latency: 80 milliseconds to first token
- Base Throughput: 1,000 tokens/second
- Effective Throughput: 980 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.1 Flash Lite. 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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Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Mistral OCR 3| Rank | AI Model & Provider | Total Cost | vs Mistral OCR 3 | vs Gemini 3.1 Flash Lite |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001704 Best Value | ↓ 98.3% cheaper | ↓ 63.2% cheaper |
| 🥈 |
Ministral 3 (14B)
Mistral AI
|
$0.003308 | ↓ 96.7% cheaper | ↓ 28.6% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.004635 | ↓ 95.4% cheaper | Same price |
| #4 |
Gemini 2.5 Flash
Google
|
$0.005912 (rounded ~ $0.01) | ↓ 94.1% cheaper | ↑ 27.6% more |
| #5 |
Mistral Large 3
Mistral AI
|
$0.008770 (rounded ~ $0.01) | ↓ 91.2% cheaper | ↑ 89.2% more |
| #6 |
GPT-5.4 mini
OpenAI
|
$0.013904 (rounded ~ $0.01) | ↓ 86.1% cheaper | ↑ 200% more |
| #7 |
o4-mini Deep Research
OpenAI
|
$0.017539 (rounded ~ $0.02) | ↓ 82.5% cheaper | ↑ 278.4% more |
| #8 |
Claude Haiku 4.5
Anthropic
|
$0.018039 (rounded ~ $0.02) | ↓ 82% cheaper | ↑ 289.2% more |
| #9 |
Gemini 3.1 Flash
Google
|
$0.018539 (rounded ~ $0.02) | ↓ 81.5% cheaper | ↑ 300% more |
| #10 |
o4-mini
OpenAI
|
$0.019293 | ↓ 80.7% cheaper | ↑ 316.3% more |
| #11 |
Grok 4.3
xAI
|
$0.020674 | ↓ 79.3% cheaper | ↑ 346.1% more |
| #12 |
Gemini 3.5 Flash
Google
|
$0.027809 (rounded ~ $0.03) | ↓ 72.2% cheaper | ↑ 500% more |
| #13 |
GPT-5.3 Codex Spark
OpenAI
|
$0.034193 (rounded ~ $0.03) | ↓ 65.8% cheaper | ↑ 637.8% more |
| #14 |
GPT-5.3 Instant
OpenAI
|
$0.034193 (rounded ~ $0.03) | ↓ 65.8% cheaper | ↑ 637.8% more |
| #15 |
Gemini 2.5 Pro
Google
|
$0.048848 (rounded ~ $0.05) | ↓ 51.2% cheaper | ↑ 953.9% more |
| #16 |
Claude Sonnet 4.6
Anthropic
|
$0.054117 (rounded ~ $0.05) | ↓ 45.9% cheaper | ↑ 1067.6% more |
| #17 |
Gemini 3.1 Pro
Google
|
$0.074156 (rounded ~ $0.07) | ↓ 25.8% cheaper | ↑ 1500% more |
| #18 |
Claude Opus 4.7
Anthropic
|
$0.090195 | ↓ 9.8% cheaper | ↑ 1846.1% more |
| #19 |
Claude Opus 4.8
Anthropic
|
$0.090195 | ↓ 9.8% cheaper | ↑ 1846.1% more |
| #20 |
Claude Opus 4.6
Anthropic
|
$0.090195 | ↓ 9.8% cheaper | ↑ 1846.1% more |
| #21 |
GPT-5.4
OpenAI
|
$0.092695 (rounded ~ $0.09) | ↓ 7.3% cheaper | ↑ 1900% more |
| #22 |
GPT-5.4 Thinking
OpenAI
|
$0.092695 (rounded ~ $0.09) | ↓ 7.3% cheaper | ↑ 1900% more |
| #23 |
GPT-5.5 Instant
OpenAI
|
$0.092695 (rounded ~ $0.09) | ↓ 7.3% cheaper | ↑ 1900% more |
| #24 |
o3 Deep Research
OpenAI
|
$0.175390 (rounded ~ $0.18) | ↑ 75.4% more | ↑ 3684.2% more |
| #25 |
GPT-5.5
OpenAI
|
$0.185390 (rounded ~ $0.19) | ↑ 85.4% more | ↑ 3900% more |
| #26 |
o3 Pro
OpenAI
|
$0.350780 | ↑ 250.8% more | ↑ 7468.5% more |
| #27 |
GPT-5.2 Pro
OpenAI
|
$0.410319 | ↑ 310.3% more | ↑ 8753.1% more |
| #28 |
GPT-5.2 Pro
OpenAI
|
$0.410319 | ↑ 310.3% more | ↑ 8753.1% more |
Mistral Small 3 Mistral AI
Ministral 3 (14B) Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Choosing Between Specialized OCR and Generalist Vision Models
Selecting the right engine for high-volume invoice processing is a pivotal architectural decision. When handling document-heavy workflows, the distinction between a specialized OCR model and a general-purpose vision-language model (VLM) significantly impacts your output quality and downstream processing requirements.
Mistral OCR 3 is architected specifically for document intelligence. It shines in deciphering complex, non-linear layouts, dense tables, and skewed text—challenges inherent in raw invoice scans. For UX designers, this means you can often rely on more accurate extraction without needing extensive post-processing logic to fix broken table headers or misaligned line items.
Gemini 3.1 Flash Lite, by contrast, offers a broader multimodal utility. It is an excellent choice if your pipeline requires more than just extraction—for example, if you need to classify document types, perform sentiment analysis on invoice correspondence, or integrate with a larger, Google-centric data ecosystem. While it handles standard OCR tasks with ease, it is built for velocity and high-throughput integration.
The decision boils down to your specific failure modes. If your primary bottleneck is low-quality, high-noise document layouts, the specialized design of Mistral OCR 3 typically provides a more robust foundation. If your system requires immediate, scalable integration and is part of a wider automation suite where document structures are relatively clean, Gemini 3.1 Flash Lite provides a faster path to deployment. Evaluate whether your architecture prioritizes high-fidelity extraction of complex documents or rapid, ecosystem-wide automation.