OCR 4.1 vs Jev
At a Glance
| Compare |  OCR 4.1Mistral AI |  JevTypeSafe |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.042TypeSafe ↗ · Sep 17, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.000TypeSafe ↗ · Sep 17, 2026 |
| Context windowMaximum documented tokens | Not reported | 64K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 17, 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 | OCR 4.1 | Jev |
|---|---|---|
| Developer | Mistral AI | TypeSafe |
| Family | Mistral OCR | Jev |
| Model | OCR 4.1 | Jev |
| Version | OCR 4.1 | Jev |
| Lifecycle | active | active |
| Released | 2026-07-16 | 2026-09-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Image, Document | Text, Model-specific input |
| Output modalities | Text | Model-specific input |
| Context window | Unknown | 64K |
| 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 | Mistral AI (Standard) | TypeSafe (Standard) |
| Capabilities | bounding-box-extraction, document-ai, ocr, structured-annotations | calibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions |
| Maximum Choice cardinality | Unknown | 255 options |
| Default request rate limit | Unknown | 1200 requests per minute |
| State plus longest question limit | Unknown | 32000 tokens |
| Combined state and questions limit | Unknown | 64000 tokens |
| Default token rate limit | Unknown | 250000 tokens per second |
OCR 4.1 Capabilities
Jev Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
OCR 4.1Mistral AI | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | OCR 4.1Mistral AI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | OCR 4.1Mistral AI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | OCR 4.1Mistral AI | cross-developer peersimage, text |
OCR 4.1Mistral AI | vs | Grok 4.6xAI | cross-developer peersimage, text |
OCR 4.1Mistral AI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
OCR 4.1Mistral AI | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | OCR 4.1Mistral AI | cross-developer peersimage, text |
OCR 4.1Mistral AI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
OCR 4.1Mistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | OCR 4.1Mistral AI | cross-developer peersimage, text |
Mistral Large 3Mistral AI | vs | OCR 4.1Mistral AI | developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
OCR 4.1 vs Jev FAQs
Is OCR 4.1 or Jev better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both OCR 4.1 and Jev, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, OCR 4.1 or Jev?+
Only Jev has a directly sourced input price: $0.042 per million tokens. Only Jev has a directly sourced output price: $0.000 per million tokens.
Which has a larger context window, OCR 4.1 or Jev?+
Neither model has a larger sourced context window in this comparison. OCR 4.1 is — and Jev is 64K.
Which performs better in benchmarks, OCR 4.1 or Jev?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can OCR 4.1 or Jev be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. OCR 4.1 is not marked open weight; Jev is not marked open weight.
Can OCR 4.1 and Jev understand images?+
OCR 4.1 is documented with image input; Jev is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, OCR 4.1 or Jev?+
Neither has a larger sourced maximum output. OCR 4.1 is — and Jev is —.
Do OCR 4.1 and Jev support reasoning and tool use?+
OCR 4.1: image input. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, OCR 4.1 or Jev?+
OCR 4.1 has 1 sourced provider route; Jev has 1, a tie.
Which offers better value, OCR 4.1 or Jev?+
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.