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 1,000 input tokens and 500 output tokens:
- Input Cost: $0.000000
- Output Cost: $0.000000
- Unit Cost: $0.100000
- Total Cost: $0.100000
- Cost per 1K tokens: $0.066667 (rounded ~ $0.07)
- Tokens per dollar: 15,000 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: 5.18 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: $0.000188
Output: $0.000188
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 1,000 input tokens and 500 output tokens:
- Input Cost: $0.322563 (rounded ~ $0.32)
- Output Cost: $0.000188
- Total Cost: $0.177597 (rounded ~ $0.18)
- Cost per 1K tokens: $0.000034
- Tokens per dollar: 29,063,011 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 hour, 32 minutes, 2.99 seconds
- Latency: 80 milliseconds to first token
- Base Throughput: 1,000 tokens/second
- Effective Throughput: 935 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.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
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
|
$0.071001 (rounded ~ $0.07) Best Value | ↓ 29% cheaper | ↓ 60% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.177597 (rounded ~ $0.18) | ↑ 77.6% more | Same price |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.213204 (rounded ~ $0.21) | ↑ 113.2% more | ↑ 20% more |
| #4 |
Gemini 2.5 Flash
Google
|
$0.213204 (rounded ~ $0.21) | ↑ 113.2% more | ↑ 20% more |
| #5 |
Mistral Large 3
Mistral AI
|
$0.355256 (rounded ~ $0.36) | ↑ 255.3% more | ↑ 100% more |
| #6 |
Gemini 3.8 Flash
Google
|
$0.532697 (rounded ~ $0.53) | ↑ 432.7% more | ↑ 199.9% more |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.532791 (rounded ~ $0.53) | ↑ 432.8% more | ↑ 200% more |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.710138 | ↑ 610.1% more | ↑ 299.9% more |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.710263 | ↑ 610.3% more | ↑ 299.9% more |
| #10 |
GPT-5.6 Luna
OpenAI
|
$0.710388 | ↑ 610.4% more | ↑ 300% more |
| #11 |
o4-mini
OpenAI
|
$0.781151 (rounded ~ $0.78) | ↑ 681.2% more | ↑ 339.8% more |
| #12 |
Gemini 3.6 Flash
Google
|
$1.065394 (rounded ~ $1.07) | ↑ 965.4% more | ↑ 499.9% more |
| #13 |
Gemini 3.5 Flash
Google
|
$1.065581 (rounded ~ $1.07) | ↑ 965.6% more | ↑ 500% more |
| #14 |
GPT-5.3 Codex Spark
OpenAI
|
$1.243616 (rounded ~ $1.24) | ↑ 1143.6% more | ↑ 600.2% more |
| #15 |
GPT-5.3 Instant
OpenAI
|
$1.243616 (rounded ~ $1.24) | ↑ 1143.6% more | ↑ 600.2% more |
| #16 |
Claude Sonnet 5
Anthropic
|
$1.420525 | ↑ 1320.5% more | ↑ 699.9% more |
| #17 |
Gemini 3.1 Flash
Google
|
$1.420775 | ↑ 1320.8% more | ↑ 700% more |
| #18 |
GPT-5.6 Terra
OpenAI
|
$1.775969 (rounded ~ $1.78) | ↑ 1676% more | ↑ 900% more |
| #19 |
Claude Sonnet 4.6
Anthropic
|
$2.130788 | ↑ 2030.8% more | ↑ 1099.8% more |
| #20 |
Claude Opus 4.7
Anthropic
|
$3.551313 (rounded ~ $3.55) | ↑ 3451.3% more | ↑ 1899.6% more |
| #21 |
Claude Opus 5
Anthropic
|
$3.551313 (rounded ~ $3.55) | ↑ 3451.3% more | ↑ 1899.6% more |
| #22 |
Claude Opus 4.8
Anthropic
|
$3.551313 (rounded ~ $3.55) | ↑ 3451.3% more | ↑ 1899.6% more |
| #23 |
Claude Opus 4.6
Anthropic
|
$3.551313 (rounded ~ $3.55) | ↑ 3451.3% more | ↑ 1899.6% more |
| #24 |
Gemini 2.5 Pro
Google
|
$3.551938 (rounded ~ $3.55) | ↑ 3451.9% more | ↑ 1900% more |
| #25 |
GPT-5.5 Instant
OpenAI
|
$3.551938 (rounded ~ $3.55) | ↑ 3451.9% more | ↑ 1900% more |
| #26 |
GPT-5.6 Sol
OpenAI
|
$3.551938 (rounded ~ $3.55) | ↑ 3451.9% more | ↑ 1900% more |
| #27 |
Grok 4.3
xAI
|
$5.679100 | ↑ 5579.1% more | ↑ 3097.7% more |
| #28 |
Gemini 3.1 Pro
Google
|
$5.681600 (rounded ~ $5.68) | ↑ 5581.6% more | ↑ 3099.2% more |
| #29 |
Claude Fable 5.1
Anthropic
|
$6.618781 (rounded ~ $6.62) | ↑ 6518.8% more | ↑ 3626.9% more |
| #30 |
Claude Mythos 5.1
Anthropic
|
$6.618781 (rounded ~ $6.62) | ↑ 6518.8% more | ↑ 3626.9% more |
| #31 |
o3 Deep Research
OpenAI
|
$7.101375 (rounded ~ $7.10) | ↑ 7001.4% more | ↑ 3898.6% more |
| #32 |
GPT-5.4
OpenAI
|
$7.102000 (rounded ~ $7.10) | ↑ 7002% more | ↑ 3898.9% more |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$7.102000 (rounded ~ $7.10) | ↑ 7002% more | ↑ 3898.9% more |
| #34 |
Claude Fable 5
Anthropic
|
$7.102625 (rounded ~ $7.10) | ↑ 7002.6% more | ↑ 3899.3% more |
| #35 |
Claude Mythos 5
Anthropic
|
$7.102625 (rounded ~ $7.10) | ↑ 7002.6% more | ↑ 3899.3% more |
| #36 |
o3 Pro
OpenAI
|
$14.202750 (rounded ~ $14.20) | ↑ 14102.8% more | ↑ 7897.2% more |
| #37 |
GPT-5.5
OpenAI
|
$14.204000 (rounded ~ $14.20) | ↑ 14104% more | ↑ 7897.9% more |
| #38 |
GPT-5.2 Pro
OpenAI
|
$14.923388 (rounded ~ $14.92) | ↑ 14823.4% more | ↑ 8303% more |
| #39 |
GPT-6 Astra
OpenAI
|
$28.410500 | ↑ 28310.5% more | ↑ 15897.2% more |
| #40 |
GPT-6 Astra
OpenAI
|
$28.410500 | ↑ 28310.5% more | ↑ 15897.2% more |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
o3 Pro OpenAI
GPT-5.5 OpenAI
GPT-5.2 Pro OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Choosing Between Mistral OCR 3 and Gemini 3.1 Flash Lite for Legacy Archives
When digitizing 10,000 scanned pages monthly, your choice of OCR engine significantly impacts the accuracy and structural integrity of your downstream data. Mistral OCR 3 and Gemini 3.1 Flash Lite represent two distinct philosophies in document processing, both optimized for high-volume enterprise workloads.
Mistral OCR 3 is purpose-built for document tasks. It excels in preserving document structure, particularly with complex table layouts and multi-column formats. For archives where data extraction requires high-fidelity Markdown or HTML output, this model is often the superior choice. Its architecture is specifically tuned to recognize document semantics, making it highly effective for messy legacy scans where standard vision models might struggle with alignment.
Gemini 3.1 Flash Lite offers a different advantage: deep integration into broader enterprise pipelines. While highly capable at OCR, its strength lies in its multimodal agility. If your digitization workflow requires not just extracting text but also summarizing, categorizing, or cross-referencing document content with other data sources in real-time, this model provides the necessary reasoning capabilities within a single call.
Deciding between the two depends on your primary bottleneck. If your challenge is structural complexity and accuracy in table extraction, Mistral OCR 3 is the specialized tool for the job. If your challenge is scaling an end-to-end intelligent document processing pipeline where classification and extraction happen simultaneously, Gemini 3.1 Flash Lite is the more versatile, high-throughput solution.