PaddleOCR VL 1.5 vs Claude Opus 4.7
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu | Claude Opus 4.7Anthropic |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #11 of 4679.0 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #37 of 44$0.286 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #20 of 3852.7 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $5.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $25.00Anthropic ↗ · Sep 3, 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 | Claude Opus 4.7 |
|---|---|---|
| Developer | Baidu | Anthropic |
| Family | Paddleocr VL 1 5 | Claude 4 |
| Model | PaddleOCR-VL-1.5 | Claude Opus 4.7 |
| Version | PaddleOCR-VL-1.5 | Claude Opus 4.7 |
| Lifecycle | active | active |
| Released | 2026-01-29 | 2026-04-16 |
| Knowledge cutoff | Unknown | 2026-01-01 |
| Input modalities | Text, Image | Text, Image |
| 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 | Anthropic (Standard), Deepinfra (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, structured_outputs, tools |
PaddleOCR VL 1.5 Capabilities
Claude Opus 4.7 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 Opus 4.7 FAQs
Is PaddleOCR VL 1.5 or Claude Opus 4.7 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Claude Opus 4.7, 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 Opus 4.7?+
Only Claude Opus 4.7 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.7 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, PaddleOCR VL 1.5 or Claude Opus 4.7?+
Claude Opus 4.7 has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Claude Opus 4.7 supports 1,000K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or Claude Opus 4.7?+
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 Opus 4.7 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 Opus 4.7 is not marked open weight.
Can PaddleOCR VL 1.5 and Claude Opus 4.7 understand images?+
PaddleOCR VL 1.5 is documented with image input; Claude Opus 4.7 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or Claude Opus 4.7?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Claude Opus 4.7 is 128K.
Do PaddleOCR VL 1.5 and Claude Opus 4.7 support reasoning and tool use?+
PaddleOCR VL 1.5: image input. Claude Opus 4.7: 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 Opus 4.7?+
PaddleOCR VL 1.5 has 0 sourced provider routes; Claude Opus 4.7 has 2, so Claude Opus 4.7 has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or Claude Opus 4.7?+
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.