PaddleOCR VL 1.5 vs Qwen3 Coder Flash
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.195Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.975Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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 | Qwen3 Coder Flash |
|---|---|---|
| Developer | Baidu | Qwen |
| Family | Paddleocr VL 1 5 | Qwen3 Coder |
| Model | PaddleOCR-VL-1.5 | Qwen3 Coder Flash |
| Version | PaddleOCR-VL-1.5 | Qwen3 Coder Flash |
| Lifecycle | active | active |
| Released | 2026-01-29 | 2025-07-28 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| 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 | Alibaba Cloud Model Studio (Standard), Openrouter (Standard) |
| Capabilities | chat, generation | agents, chat, generation, reasoning, structured_outputs, tools |
PaddleOCR VL 1.5 Capabilities
Qwen3 Coder Flash 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 Qwen3 Coder Flash FAQs
Is PaddleOCR VL 1.5 or Qwen3 Coder Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Qwen3 Coder Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, PaddleOCR VL 1.5 or Qwen3 Coder Flash?+
Only Qwen3 Coder Flash has a directly sourced input price: $0.195 per million tokens. Only Qwen3 Coder Flash has a directly sourced output price: $0.975 per million tokens.
Which has a larger context window, PaddleOCR VL 1.5 or Qwen3 Coder Flash?+
Qwen3 Coder Flash has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Qwen3 Coder Flash supports 1,000K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or Qwen3 Coder Flash?+
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 Qwen3 Coder Flash 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; Qwen3 Coder Flash is not marked open weight.
Can PaddleOCR VL 1.5 and Qwen3 Coder Flash understand images?+
PaddleOCR VL 1.5 is documented with image input; Qwen3 Coder Flash is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or Qwen3 Coder Flash?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Qwen3 Coder Flash is —.
Do PaddleOCR VL 1.5 and Qwen3 Coder Flash support reasoning and tool use?+
PaddleOCR VL 1.5: image input. Qwen3 Coder Flash: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, PaddleOCR VL 1.5 or Qwen3 Coder Flash?+
PaddleOCR VL 1.5 has 0 sourced provider routes; Qwen3 Coder Flash has 2, so Qwen3 Coder Flash has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or Qwen3 Coder Flash?+
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.