PaddleOCR VL 1.5 vs Claude Haiku 4.5
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu | Claude Haiku 4.5Anthropic |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $5.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 131K | 200K |
| 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 | Claude Haiku 4.5 |
|---|---|---|
| Developer | Baidu | Anthropic |
| Family | Paddleocr VL 1 5 | Claude 4 5 |
| Model | PaddleOCR-VL-1.5 | Claude Haiku 4.5 |
| Version | PaddleOCR-VL-1.5 | Claude Haiku 4.5 |
| Lifecycle | active | active |
| Released | 2026-01-29 | 2025-10-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| 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 | Anthropic (Standard), Deepinfra (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, tools |
PaddleOCR VL 1.5 Capabilities
Claude Haiku 4.5 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 Claude Haiku 4.5 FAQs
Is PaddleOCR VL 1.5 or Claude Haiku 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Claude Haiku 4.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, PaddleOCR VL 1.5 or Claude Haiku 4.5?+
Only Claude Haiku 4.5 has a directly sourced input price: $1.00 per million tokens. Only Claude Haiku 4.5 has a directly sourced output price: $5.00 per million tokens.
Which has a larger context window, PaddleOCR VL 1.5 or Claude Haiku 4.5?+
Claude Haiku 4.5 has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Claude Haiku 4.5 supports 200K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or Claude Haiku 4.5?+
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 Claude Haiku 4.5 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; Claude Haiku 4.5 is not marked open weight.
Can PaddleOCR VL 1.5 and Claude Haiku 4.5 understand images?+
PaddleOCR VL 1.5 is documented with image input; Claude Haiku 4.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or Claude Haiku 4.5?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Claude Haiku 4.5 is 64K.
Do PaddleOCR VL 1.5 and Claude Haiku 4.5 support reasoning and tool use?+
PaddleOCR VL 1.5: image input. Claude Haiku 4.5: 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 Claude Haiku 4.5?+
PaddleOCR VL 1.5 has 0 sourced provider routes; Claude Haiku 4.5 has 2, so Claude Haiku 4.5 has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or Claude Haiku 4.5?+
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.