PaddleOCR VL 1.5 vs DeepSeek V4 Pro
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu |  DeepSeek V4 ProDeepSeek |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #10 of 44$0.054 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.66DeepSeek ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $1.5441Openrouter ↗ · Aug 28, 2026 |
| Context windowMaximum documented tokens | 131K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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-Pro |
|---|---|---|
| Developer | Baidu | DeepSeek |
| Family | Paddleocr VL 1 5 | Deepseek V4 Pro |
| Model | PaddleOCR-VL-1.5 | DeepSeek-V4-Pro |
| Version | PaddleOCR-VL-1.5 | DeepSeek-V4-Pro |
| Lifecycle | active | active |
| Released | 2026-01-29 | 2026-04-24 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 131K | 1,049K |
| Total parameters | 958.6M | 1.6T |
| Active parameters | Unknown | 49B |
| 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), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning |
PaddleOCR VL 1.5 Capabilities
DeepSeek V4 Pro Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
PaddleOCR-VL-1.5Baidu | vs | DeepSeek-V3.2DeepSeek | cross-developer peerstext |
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 |
Primary Evidence
Sources and Freshness
Questions
PaddleOCR VL 1.5 vs DeepSeek V4 Pro FAQs
Is PaddleOCR VL 1.5 or DeepSeek V4 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and DeepSeek V4 Pro, 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 Pro?+
Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.
Which has a larger context window, PaddleOCR VL 1.5 or DeepSeek V4 Pro?+
DeepSeek V4 Pro has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and DeepSeek V4 Pro supports 1,049K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or DeepSeek V4 Pro?+
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 Pro be self-hosted?+
Both models have the same recorded self-hosting status: supported. PaddleOCR VL 1.5 is open weight; DeepSeek V4 Pro is open weight.
Can PaddleOCR VL 1.5 and DeepSeek V4 Pro understand images?+
PaddleOCR VL 1.5 is documented with image input; DeepSeek V4 Pro is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or DeepSeek V4 Pro?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and DeepSeek V4 Pro is —.
Do PaddleOCR VL 1.5 and DeepSeek V4 Pro support reasoning and tool use?+
PaddleOCR VL 1.5: image input. DeepSeek V4 Pro: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, PaddleOCR VL 1.5 or DeepSeek V4 Pro?+
PaddleOCR VL 1.5 has 0 sourced provider routes; DeepSeek V4 Pro has 6, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or DeepSeek V4 Pro?+
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.