OCR 4.1 vs GPT-5 Nano
At a Glance
| Compare |  OCR 4.1Mistral AI |  GPT-5 NanoOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #46 of 460.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 0.0–33.3 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.025Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.20Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | Not reported | 400K |
| Model facts checked | Aug 29, 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 | OCR 4.1 | GPT-5 Nano |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Family | Mistral OCR | Gpt 5 |
| Model | OCR 4.1 | GPT-5 Nano |
| Version | OCR 4.1 | GPT-5 Nano |
| Lifecycle | active | active |
| Released | 2026-07-16 | 2025-08-07 |
| Knowledge cutoff | Unknown | 2024-05-31 |
| Input modalities | Image, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | Unknown | 400K |
| 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) | Openai (Standard), Openrouter (Standard) |
| Capabilities | bounding-box-extraction, document-ai, ocr, structured-annotations | chat, generation, reasoning, structured_outputs, tools |
OCR 4.1 Capabilities
GPT-5 Nano Capabilities
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Primary Evidence
Sources and Freshness
Questions
OCR 4.1 vs GPT-5 Nano FAQs
Is OCR 4.1 or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both OCR 4.1 and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, OCR 4.1 or GPT-5 Nano?+
Only GPT-5 Nano has a directly sourced input price: $0.025 per million tokens. Only GPT-5 Nano has a directly sourced output price: $0.20 per million tokens.
Which has a larger context window, OCR 4.1 or GPT-5 Nano?+
Neither model has a larger sourced context window in this comparison. OCR 4.1 is — and GPT-5 Nano is 400K.
Which performs better in benchmarks, OCR 4.1 or GPT-5 Nano?+
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 GPT-5 Nano be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. OCR 4.1 is not marked open weight; GPT-5 Nano is not marked open weight.
Can OCR 4.1 and GPT-5 Nano understand images?+
OCR 4.1 is documented with image input; GPT-5 Nano is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, OCR 4.1 or GPT-5 Nano?+
Neither has a larger sourced maximum output. OCR 4.1 is — and GPT-5 Nano is 128K.
Do OCR 4.1 and GPT-5 Nano support reasoning and tool use?+
OCR 4.1: image input. GPT-5 Nano: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, OCR 4.1 or GPT-5 Nano?+
OCR 4.1 has 1 sourced provider route; GPT-5 Nano has 2, so GPT-5 Nano has broader tracked availability.
Which offers better value, OCR 4.1 or GPT-5 Nano?+
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.