PaddleOCR VL 1.5 vs Sonar Deep Research
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu |  Sonar Deep ResearchPerplexity |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $2.00Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $8.00Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 128K |
| Model facts checked | Aug 28, 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 | PaddleOCR-VL-1.5 | Sonar Deep Research |
|---|---|---|
| Developer | Baidu | Perplexity |
| Family | Paddleocr VL 1 5 | Sonar |
| Model | PaddleOCR-VL-1.5 | Sonar Deep Research |
| Version | PaddleOCR-VL-1.5 | Sonar Deep Research |
| Lifecycle | active | active |
| Released | 2026-01-29 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 131K | 128K |
| Total parameters | 958.6M | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Openrouter (Standard), Perplexity (Standard) |
| Capabilities | chat, generation | chat, citations, reasoning, research, search |
PaddleOCR VL 1.5 Capabilities
Sonar Deep Research Capabilities
Related Comparisons
All text 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 Sonar Deep Research FAQs
Is PaddleOCR VL 1.5 or Sonar Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Sonar Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, PaddleOCR VL 1.5 or Sonar Deep Research?+
Only Sonar Deep Research has a directly sourced input price: $2.00 per million tokens. Only Sonar Deep Research has a directly sourced output price: $8.00 per million tokens.
Which has a larger context window, PaddleOCR VL 1.5 or Sonar Deep Research?+
PaddleOCR VL 1.5 has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Sonar Deep Research supports 128K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or Sonar Deep Research?+
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 Sonar Deep Research be self-hosted?+
PaddleOCR VL 1.5 is the only model in this pair currently marked as self-hostable. PaddleOCR VL 1.5 is open weight; Sonar Deep Research is not marked open weight.
Can PaddleOCR VL 1.5 and Sonar Deep Research understand images?+
PaddleOCR VL 1.5 is documented with image input; Sonar Deep Research is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or Sonar Deep Research?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Sonar Deep Research is —.
Do PaddleOCR VL 1.5 and Sonar Deep Research support reasoning and tool use?+
PaddleOCR VL 1.5: image input. Sonar Deep Research: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, PaddleOCR VL 1.5 or Sonar Deep Research?+
PaddleOCR VL 1.5 has 0 sourced provider routes; Sonar Deep Research has 2, so Sonar Deep Research has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or Sonar Deep Research?+
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.