PaddleOCR VL 1.5 vs GLM 5V Turbo
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu |  GLM 5V TurboZ.ai |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 200K |
| 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 | GLM-5V-Turbo |
|---|---|---|
| Developer | Baidu | Z.ai |
| Family | Paddleocr VL 1 5 | Glm 5v |
| Model | PaddleOCR-VL-1.5 | GLM-5V-Turbo |
| Version | PaddleOCR-VL-1.5 | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | 2026-01-29 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 131K | 200K |
| 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 | Z.ai (Standard) |
| Capabilities | chat, generation | agents, chat, computer-use, reasoning, tools, vision |
PaddleOCR VL 1.5 Capabilities
GLM 5V Turbo 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 GLM 5V Turbo FAQs
Is PaddleOCR VL 1.5 or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, PaddleOCR VL 1.5 or GLM 5V Turbo?+
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 GLM 5V Turbo?+
GLM 5V Turbo has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and GLM 5V Turbo supports 200K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or GLM 5V Turbo?+
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 GLM 5V Turbo 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; GLM 5V Turbo is not marked open weight.
Can PaddleOCR VL 1.5 and GLM 5V Turbo understand images?+
PaddleOCR VL 1.5 is documented with image input; GLM 5V Turbo is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or GLM 5V Turbo?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and GLM 5V Turbo is 131K.
Do PaddleOCR VL 1.5 and GLM 5V Turbo support reasoning and tool use?+
PaddleOCR VL 1.5: image input. GLM 5V Turbo: 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 GLM 5V Turbo?+
PaddleOCR VL 1.5 has 0 sourced provider routes; GLM 5V Turbo has 1, so GLM 5V Turbo has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or GLM 5V Turbo?+
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.