PaddleOCR VL 1.5 vs Gemini Deep Research Max
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu |  Gemini Deep Research MaxGoogle DeepMind |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 1,049K |
| 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 | Gemini Deep Research Max |
|---|---|---|
| Developer | Baidu | Google DeepMind |
| Family | Paddleocr VL 1 5 | Gemini Agents |
| Model | PaddleOCR-VL-1.5 | Gemini Deep Research Max |
| Version | PaddleOCR-VL-1.5 | Gemini Deep Research Max |
| Lifecycle | active | preview |
| Released | 2026-01-29 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text, Image |
| Context window | 131K | 1,049K |
| 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 | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation | generation, reasoning, research, tools |
PaddleOCR VL 1.5 Capabilities
Gemini Deep Research Max 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 Gemini Deep Research Max FAQs
Is PaddleOCR VL 1.5 or Gemini Deep Research Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Gemini Deep Research Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, PaddleOCR VL 1.5 or Gemini Deep Research Max?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, PaddleOCR VL 1.5 or Gemini Deep Research Max?+
Gemini Deep Research Max has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Gemini Deep Research Max supports 1,049K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or Gemini Deep Research Max?+
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 Gemini Deep Research Max 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; Gemini Deep Research Max is not marked open weight.
Can PaddleOCR VL 1.5 and Gemini Deep Research Max understand images?+
PaddleOCR VL 1.5 is documented with image input; Gemini Deep Research Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or Gemini Deep Research Max?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Gemini Deep Research Max is 66K.
Do PaddleOCR VL 1.5 and Gemini Deep Research Max support reasoning and tool use?+
PaddleOCR VL 1.5: image input. Gemini Deep Research Max: 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 Gemini Deep Research Max?+
PaddleOCR VL 1.5 has 0 sourced provider routes; Gemini Deep Research Max has 2, so Gemini Deep Research Max has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or Gemini Deep Research Max?+
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.