PaddleOCR VL 1.5 vs DeepSeek V4 Flash Vision Exp
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu |  DeepSeek V4 Flash Vision ExpDeepSeek |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.22DeepSeek ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.66DeepSeek ↗ · Sep 2, 2026 |
| Context windowMaximum documented tokens | 131K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 2, 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 | PaddleOCR-VL-1.5 | DeepSeek-V4-Flash-Vision-Exp |
|---|---|---|
| Developer | Baidu | DeepSeek |
| Family | Paddleocr VL 1 5 | Deepseek V4 Flash Vision Exp |
| Model | PaddleOCR-VL-1.5 | DeepSeek-V4-Flash-Vision-Exp |
| Version | PaddleOCR-VL-1.5 | DeepSeek-V4-Flash-Vision-Exp |
| Lifecycle | active | retired |
| Released | 2026-01-29 | 2026-08-21 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 1,049K |
| Total parameters | 958.6M | 304.6B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, structured_outputs, tools |
PaddleOCR VL 1.5 Capabilities
DeepSeek V4 Flash Vision Exp Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
PaddleOCR-VL-1.5Baidu | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
PaddleOCR-VL-1.5Baidu | vs | Claude Fable 5.1Anthropic | cross-developer peersimage, text |
PaddleOCR-VL-1.5Baidu | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
PaddleOCR-VL-1.5Baidu | vs | DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
PaddleOCR-VL-1.5Baidu | vs | Grok 4.6xAI | cross-developer peersimage, text |
PaddleOCR-VL-1.5Baidu | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
PaddleOCR-VL-1.5Baidu | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | PaddleOCR-VL-1.5Baidu | cross-developer peersimage, text |
PaddleOCR-VL-1.5Baidu | vs |  GLM-5.3Z.ai | cross-developer peerstext |
PaddleOCR-VL-1.5Baidu | vs |  Hy4 previewTencent | cross-developer peerstext |
PaddleOCR-VL-1.5Baidu | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
PaddleOCR-VL-1.5Baidu | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
PaddleOCR VL 1.5 vs DeepSeek V4 Flash Vision Exp FAQs
Is PaddleOCR VL 1.5 or DeepSeek V4 Flash Vision Exp better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and DeepSeek V4 Flash Vision Exp, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, PaddleOCR VL 1.5 or DeepSeek V4 Flash Vision Exp?+
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, PaddleOCR VL 1.5 or DeepSeek V4 Flash Vision Exp?+
DeepSeek V4 Flash Vision Exp has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and DeepSeek V4 Flash Vision Exp supports 1,049K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or DeepSeek V4 Flash Vision Exp?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can PaddleOCR VL 1.5 or DeepSeek V4 Flash Vision Exp be self-hosted?+
Both models have the same recorded self-hosting status: supported. PaddleOCR VL 1.5 is open weight; DeepSeek V4 Flash Vision Exp is open weight.
Can PaddleOCR VL 1.5 and DeepSeek V4 Flash Vision Exp understand images?+
PaddleOCR VL 1.5 is documented with image input; DeepSeek V4 Flash Vision Exp is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or DeepSeek V4 Flash Vision Exp?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and DeepSeek V4 Flash Vision Exp is 393K.
Do PaddleOCR VL 1.5 and DeepSeek V4 Flash Vision Exp support reasoning and tool use?+
PaddleOCR VL 1.5: image input. DeepSeek V4 Flash Vision Exp: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, PaddleOCR VL 1.5 or DeepSeek V4 Flash Vision Exp?+
PaddleOCR VL 1.5 has 0 sourced provider routes; DeepSeek V4 Flash Vision Exp has 3, so DeepSeek V4 Flash Vision Exp has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or DeepSeek V4 Flash Vision Exp?+
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.