PaddleOCR VL 1.5 vs Qwen3 Reranker 8B
At a Glance
| Compare | PaddleOCR VL 1.5Baidu | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 33K |
| 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 Reranker 8B |
|---|---|---|
| Developer | Baidu | Qwen |
| Family | Paddleocr VL 1 5 | Qwen3 Reranker |
| Model | PaddleOCR-VL-1.5 | Qwen3 Reranker 8B |
| Version | PaddleOCR-VL-1.5 | Qwen3 Reranker 8B |
| Lifecycle | active | active |
| Released | 2026-01-29 | 2025-05-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Unknown |
| Context window | 131K | 33K |
| Total parameters | 958.6M | 8B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Fireworks Ai (Standard) |
| Capabilities | chat, generation | multilingual, reranking, retrieval |
PaddleOCR VL 1.5 Capabilities
Qwen3 Reranker 8B Capabilities
Primary Evidence
Sources and Freshness
Questions
PaddleOCR VL 1.5 vs Qwen3 Reranker 8B FAQs
Is PaddleOCR VL 1.5 or Qwen3 Reranker 8B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Qwen3 Reranker 8B, 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 Reranker 8B?+
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 Qwen3 Reranker 8B?+
PaddleOCR VL 1.5 has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Qwen3 Reranker 8B supports 33K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or Qwen3 Reranker 8B?+
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 Reranker 8B be self-hosted?+
Both models have the same recorded self-hosting status: supported. PaddleOCR VL 1.5 is open weight; Qwen3 Reranker 8B is open weight.
Can PaddleOCR VL 1.5 and Qwen3 Reranker 8B understand images?+
PaddleOCR VL 1.5 is documented with image input; Qwen3 Reranker 8B 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 Reranker 8B?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Qwen3 Reranker 8B is —.
Do PaddleOCR VL 1.5 and Qwen3 Reranker 8B support reasoning and tool use?+
PaddleOCR VL 1.5: image input. Qwen3 Reranker 8B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, PaddleOCR VL 1.5 or Qwen3 Reranker 8B?+
PaddleOCR VL 1.5 has 0 sourced provider routes; Qwen3 Reranker 8B has 1, so Qwen3 Reranker 8B has broader tracked availability.
Which offers better value, PaddleOCR VL 1.5 or Qwen3 Reranker 8B?+
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.