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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← Back to Mistral OCR 3| Rank | AI Model & Provider | Total Cost | vs Mistral OCR 3 |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.002233 Best Value | ↓ 97.8% cheaper |
| 🥈 |
Ministral 3 (14B)
Mistral AI
|
$0.004366 | ↓ 95.6% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.005957 (rounded ~ $0.01) | ↓ 94% cheaper |
| #4 |
Gemini 3.5 Flash-Lite
Google
|
$0.007498 (rounded ~ $0.01) | ↓ 92.5% cheaper |
| #5 |
Gemini 2.5 Flash
Google
|
$0.007498 (rounded ~ $0.01) | ↓ 92.5% cheaper |
| #6 |
Mistral Large 3
Mistral AI
|
$0.011414 (rounded ~ $0.01) | ↓ 88.6% cheaper |
| #7 |
Gemini 3.8 Flash
Google
|
$0.017496 (rounded ~ $0.02) | ↓ 82.5% cheaper |
| #8 |
GPT-5.4 mini
OpenAI
|
$0.017871 (rounded ~ $0.02) | ↓ 82.1% cheaper |
| #9 |
o4-mini Deep Research
OpenAI
|
$0.022828 (rounded ~ $0.02) | ↓ 77.2% cheaper |
| #10 |
Claude Haiku 4.5
Anthropic
|
$0.023328 (rounded ~ $0.02) | ↓ 76.7% cheaper |
| #11 |
Gemini 3.1 Flash
Google
|
$0.023828 (rounded ~ $0.02) | ↓ 76.2% cheaper |
| #12 |
GPT-5.6 Luna
OpenAI
|
$0.023828 (rounded ~ $0.02) | ↓ 76.2% cheaper |
| #13 |
o4-mini
OpenAI
|
$0.025111 (rounded ~ $0.03) | ↓ 74.9% cheaper |
| #14 |
Gemini 3.6 Flash
Google
|
$0.034992 (rounded ~ $0.03) | ↓ 65% cheaper |
| #15 |
Gemini 3.5 Flash
Google
|
$0.035742 (rounded ~ $0.04) | ↓ 64.3% cheaper |
| #16 |
GPT-5.3 Codex Spark
OpenAI
|
$0.043449 (rounded ~ $0.04) | ↓ 56.6% cheaper |
| #17 |
GPT-5.3 Instant
OpenAI
|
$0.043449 (rounded ~ $0.04) | ↓ 56.6% cheaper |
| #18 |
Claude Sonnet 5
Anthropic
|
$0.046656 (rounded ~ $0.05) | ↓ 53.3% cheaper |
| #19 |
GPT-5.6 Terra
OpenAI
|
$0.059570 | ↓ 40.4% cheaper |
| #20 |
Gemini 2.5 Pro
Google
|
$0.062070 (rounded ~ $0.06) | ↓ 37.9% cheaper |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.069984 | ↓ 30% cheaper |
| #22 |
Grok 4.3
xAI
|
$0.087312 (rounded ~ $0.09) | ↓ 12.7% cheaper |
| #23 |
Gemini 3.1 Pro
Google
|
$0.095312 (rounded ~ $0.10) | ↓ 4.7% cheaper |
| #24 |
Claude Opus 4.7
Anthropic
|
$0.116640 (rounded ~ $0.12) | ↑ 16.6% more |
| #25 |
Claude Opus 5
Anthropic
|
$0.116640 (rounded ~ $0.12) | ↑ 16.6% more |
| #26 |
Claude Opus 4.8
Anthropic
|
$0.116640 (rounded ~ $0.12) | ↑ 16.6% more |
| #27 |
Claude Opus 4.6
Anthropic
|
$0.116640 (rounded ~ $0.12) | ↑ 16.6% more |
| #28 |
GPT-5.4
OpenAI
|
$0.119140 | ↑ 19.1% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.119140 | ↑ 19.1% more |
| #30 |
GPT-5.5 Instant
OpenAI
|
$0.119140 | ↑ 19.1% more |
| #31 |
GPT-5.6 Sol
OpenAI
|
$0.119140 | ↑ 19.1% more |
| #32 |
o3 Deep Research
OpenAI
|
$0.228280 (rounded ~ $0.23) | ↑ 128.3% more |
| #33 |
Claude Fable 5.1
Anthropic
|
$0.229470 | ↑ 129.5% more |
| #34 |
Claude Mythos 5.1
Anthropic
|
$0.229470 | ↑ 129.5% more |
| #35 |
Claude Fable 5
Anthropic
|
$0.233280 (rounded ~ $0.23) | ↑ 133.3% more |
| #36 |
Claude Mythos 5
Anthropic
|
$0.233280 (rounded ~ $0.23) | ↑ 133.3% more |
| #37 |
GPT-5.5
OpenAI
|
$0.238280 (rounded ~ $0.24) | ↑ 138.3% more |
| #38 |
o3 Pro
OpenAI
|
$0.456560 (rounded ~ $0.46) | ↑ 356.6% more |
| #39 |
GPT-6 Astra
OpenAI
|
$0.466560 (rounded ~ $0.47) | ↑ 366.6% more |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.521388 (rounded ~ $0.52) | ↑ 421.4% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.521388 (rounded ~ $0.52) | ↑ 421.4% more |
Mistral Small 3 Mistral AI
Ministral 3 (14B) 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
Gemini 3.1 Flash Google
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
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Gemini 3.1 Pro Google
Claude Opus 4.7 Anthropic
Claude Opus 5 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
GPT-5.6 Sol OpenAI
o3 Deep Research OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Optimizing Healthcare Document Pipelines
For healthcare administrators managing invoice processing, balancing speed with document fidelity is critical. Mistral OCR 3 provides a specialized architecture optimized for structured data extraction, making it a strong candidate for high-volume invoice workflows where standard LLMs might struggle with layout complexity.
Why Mistral OCR 3 for Healthcare?
- Precision in Layout: Unlike general-purpose models, this architecture is tuned for document structure, ensuring that tabular data, invoice numbers, and billing codes are captured with high consistency.
- Batch Efficiency: When processing batches of 100 invoices, the model maintains a lower latency profile compared to heavier reasoning-heavy models, which is essential for audit-ready documentation pipelines.
- HIPAA-Aligned Deployments: For organizations requiring specific regional or private cloud hosting, Mistral’s deployment flexibility supports strict compliance requirements without sacrificing extraction accuracy.
When evaluating this model, focus on the consistency of the structured JSON output. Healthcare administrators should prioritize workflows where the model’s specialized vision capabilities can reduce the need for human-in-the-loop verification, thereby accelerating the audit trail creation process. If your invoices feature dense, multi-page tables, the performance of the OCR engine under these specific conditions should be your primary benchmark for ROI.