PaddleOCR VL 1.5 vs Codestral 22B v0.1
At a Glance
| Compare |  PaddleOCR VL 1.5Baidu |  Codestral 22B v0.1Mistral AI |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 33K |
| 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 | Codestral-22B-v0.1 |
|---|---|---|
| Developer | Baidu | Mistral AI |
| Family | Paddleocr VL 1 5 | Codestral 22b V0 1 |
| Model | PaddleOCR-VL-1.5 | Codestral-22B-v0.1 |
| Version | PaddleOCR-VL-1.5 | Codestral-22B-v0.1 |
| Lifecycle | active | active |
| Released | 2026-01-29 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 131K | 33K |
| Total parameters | 958.6M | 22.2B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Unknown | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | chat, generation | generation |
PaddleOCR VL 1.5 Capabilities
Codestral 22B v0.1 Capabilities
Related Comparisons
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|---|---|---|---|
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 Codestral 22B v0.1 FAQs
Is PaddleOCR VL 1.5 or Codestral 22B v0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Codestral 22B v0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, PaddleOCR VL 1.5 or Codestral 22B v0.1?+
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 Codestral 22B v0.1?+
PaddleOCR VL 1.5 has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Codestral 22B v0.1 supports 33K.
Which performs better in benchmarks, PaddleOCR VL 1.5 or Codestral 22B v0.1?+
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 Codestral 22B v0.1 be self-hosted?+
Both models have the same recorded self-hosting status: supported. PaddleOCR VL 1.5 is open weight; Codestral 22B v0.1 is open weight.
Can PaddleOCR VL 1.5 and Codestral 22B v0.1 understand images?+
PaddleOCR VL 1.5 is documented with image input; Codestral 22B v0.1 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, PaddleOCR VL 1.5 or Codestral 22B v0.1?+
Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Codestral 22B v0.1 is —.
Do PaddleOCR VL 1.5 and Codestral 22B v0.1 support reasoning and tool use?+
PaddleOCR VL 1.5: image input. Codestral 22B v0.1: 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 Codestral 22B v0.1?+
PaddleOCR VL 1.5 has 0 sourced provider routes; Codestral 22B v0.1 has 0, a tie.
Which offers better value, PaddleOCR VL 1.5 or Codestral 22B v0.1?+
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.