PaddleOCR VL 1.5 vs Llama 3.1 405B Instruct
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 131K |
| 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 | Llama-3.1-405B-Instruct |
|---|---|---|
| Developer | Baidu | Meta |
| Family | Paddleocr VL 1 5 | Llama 3 1 405b Instruct |
| Model | PaddleOCR-VL-1.5 | Llama-3.1-405B-Instruct |
| Version | PaddleOCR-VL-1.5 | Llama-3.1-405B-Instruct |
| Lifecycle | active | active |
| Released | 2026-01-29 | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 131K | 131K |
| Total parameters | 958.6M | 405.9B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | llama3.1 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Together Ai (Standard) |
| Capabilities | chat, generation | chat, generation, tools |
PaddleOCR VL 1.5 Capabilities
Llama 3.1 405B Instruct Capabilities
Related Comparisons
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|---|---|---|---|
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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 Llama 3.1 405B Instruct FAQs
Is PaddleOCR VL 1.5 or Llama 3.1 405B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Llama 3.1 405B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, PaddleOCR VL 1.5 or Llama 3.1 405B Instruct?+
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 Llama 3.1 405B Instruct?+
Neither model has a larger sourced context window in this comparison. PaddleOCR VL 1.5 is 131K and Llama 3.1 405B Instruct is 131K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or Llama 3.1 405B Instruct?+
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 Llama 3.1 405B Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. PaddleOCR VL 1.5 is open weight; Llama 3.1 405B Instruct is open weight.
Can PaddleOCR VL 1.5 and Llama 3.1 405B Instruct understand images?+
PaddleOCR VL 1.5 is documented with image input; Llama 3.1 405B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or Llama 3.1 405B Instruct?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Llama 3.1 405B Instruct is —.
Do PaddleOCR VL 1.5 and Llama 3.1 405B Instruct support reasoning and tool use?+
PaddleOCR VL 1.5: image input. Llama 3.1 405B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, PaddleOCR VL 1.5 or Llama 3.1 405B Instruct?+
PaddleOCR VL 1.5 has 0 sourced provider routes; Llama 3.1 405B Instruct has 1, so Llama 3.1 405B Instruct has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or Llama 3.1 405B Instruct?+
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.