ERNIE 5.1 vs OCR 4.1
At a Glance
| Compare |  ERNIE 5.1Baidu |  OCR 4.1Mistral AI |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | Not reported |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 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 | ERNIE 5.1 | OCR 4.1 |
|---|---|---|
| Developer | Baidu | Mistral AI |
| Family | Ernie 5 | Mistral OCR |
| Model | ERNIE 5.1 | OCR 4.1 |
| Version | ERNIE 5.1 | OCR 4.1 |
| Lifecycle | active | active |
| Released | Unknown | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Image, Document |
| Output modalities | Text | Text |
| Context window | 131K | Unknown |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Baidu Qianfan (Standard) | Mistral AI (Standard) |
| Capabilities | agents, chat, reasoning, search, tools | bounding-box-extraction, document-ai, ocr, structured-annotations |
ERNIE 5.1 Capabilities
OCR 4.1 Capabilities
Related Comparisons
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|---|---|---|---|
ERNIE 5.1Baidu | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | ERNIE 5.1Baidu | cross-developer peerstext |
ERNIE 5.1Baidu | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
ERNIE 5.1Baidu | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Grok 4.6xAI | cross-developer peerstext |
ERNIE 5.1Baidu | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
ERNIE 5.1Baidu | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | ERNIE 5.1Baidu | cross-developer peerstext |
ERNIE 5.1Baidu | vs |  GLM-5.3Z.ai | cross-developer peerstext |
ERNIE 5.1Baidu | vs |  Hy4 previewTencent | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
ERNIE 5.1 vs OCR 4.1 FAQs
Is ERNIE 5.1 or OCR 4.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and OCR 4.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE 5.1 or OCR 4.1?+
Only ERNIE 5.1 has a directly sourced input price: $4.00 per million tokens. Only ERNIE 5.1 has a directly sourced output price: $18.00 per million tokens.
Which has a larger context window, ERNIE 5.1 or OCR 4.1?+
Neither model has a larger sourced context window in this comparison. ERNIE 5.1 is 131K and OCR 4.1 is —.
Which performs better in benchmarks, ERNIE 5.1 or OCR 4.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can ERNIE 5.1 or OCR 4.1 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. ERNIE 5.1 is not marked open weight; OCR 4.1 is not marked open weight.
Can ERNIE 5.1 and OCR 4.1 understand images?+
ERNIE 5.1 is not documented with image input; OCR 4.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE 5.1 or OCR 4.1?+
Neither has a larger sourced maximum output. ERNIE 5.1 is 66K and OCR 4.1 is —.
Do ERNIE 5.1 and OCR 4.1 support reasoning and tool use?+
ERNIE 5.1: reasoning and tool calling. OCR 4.1: image input. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 5.1 or OCR 4.1?+
ERNIE 5.1 has 1 sourced provider route; OCR 4.1 has 1, a tie.
Which offers better value, ERNIE 5.1 or OCR 4.1?+
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.