DeepSeek V4 Flash Vision Exp vs OCR 4.1
At a Glance
| Compare |  DeepSeek V4 Flash Vision ExpDeepSeek |  OCR 4.1Mistral AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.22DeepSeek ↗ · Sep 2, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.66DeepSeek ↗ · Sep 2, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Sep 2, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4-Flash-Vision-Exp | OCR 4.1 |
|---|---|---|
| Developer | DeepSeek | Mistral AI |
| Family | Deepseek V4 Flash Vision Exp | Mistral OCR |
| Model | DeepSeek-V4-Flash-Vision-Exp | OCR 4.1 |
| Version | DeepSeek-V4-Flash-Vision-Exp | OCR 4.1 |
| Lifecycle | retired | active |
| Released | 2026-08-21 | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Image, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | Unknown |
| Total parameters | 304.6B | Unknown |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard) | Mistral AI (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | bounding-box-extraction, document-ai, ocr, structured-annotations |
DeepSeek V4 Flash Vision Exp Capabilities
OCR 4.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash Vision Exp vs OCR 4.1 FAQs
Is DeepSeek V4 Flash Vision Exp or OCR 4.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Vision Exp and OCR 4.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash Vision Exp or OCR 4.1?+
Only DeepSeek V4 Flash Vision Exp has a directly sourced input price: $0.22 per million tokens. Only DeepSeek V4 Flash Vision Exp has a directly sourced output price: $0.66 per million tokens.
Which has a larger context window, DeepSeek V4 Flash Vision Exp or OCR 4.1?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash Vision Exp is 1,049K and OCR 4.1 is —.
Which performs better in benchmarks, DeepSeek V4 Flash Vision Exp or OCR 4.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Flash Vision Exp or OCR 4.1 be self-hosted?+
DeepSeek V4 Flash Vision Exp is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash Vision Exp is open weight; OCR 4.1 is not marked open weight.
Can DeepSeek V4 Flash Vision Exp and OCR 4.1 understand images?+
DeepSeek V4 Flash Vision Exp is documented with image input; OCR 4.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash Vision Exp or OCR 4.1?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash Vision Exp is 393K and OCR 4.1 is —.
Do DeepSeek V4 Flash Vision Exp and OCR 4.1 support reasoning and tool use?+
DeepSeek V4 Flash Vision Exp: reasoning, tool calling, and image input. OCR 4.1: image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash Vision Exp or OCR 4.1?+
DeepSeek V4 Flash Vision Exp has 3 sourced provider routes; OCR 4.1 has 1, so DeepSeek V4 Flash Vision Exp has broader tracked availability.
Which offers better value, DeepSeek V4 Flash Vision Exp or OCR 4.1?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.