DeepSeek-V4.1-Flash
deepseek-ai
Lowest estimated cost per 1,000 pages among hosted models labelled for document OCR: about $0.15 (Sail Research, 2026-10-24).
Sources: openrouter.ai 2026-10-24 · huggingface.co 2026-10-25
Up to date
Use cases › Seeing
Turn scans, forms and tables into structured JSON.
Showing every model that fits the job; narrow it with the constraints below.
≈ $0.15 per 1,000 pages with DeepSeek-V4.1-Flash (assuming ~1,500 input and ~500 output tokens per page; your documents will differ).
One pick per constraint group: cheapest per 1,000 pages hosted, most used that fits one 24 GB GPU, and the highest olmOCR-bench score (labelled when it is the author's own number).
deepseek-ai
Lowest estimated cost per 1,000 pages among hosted models labelled for document OCR: about $0.15 (Sail Research, 2026-10-24).
Sources: openrouter.ai 2026-10-24 · huggingface.co 2026-10-25
Most downloaded in the last 30 days among document-OCR models whose INT4 weights fit one 24 GB GPU: 8.6M (Hugging Face, 2026-10-25).
Sources: estimate method 2026-10-25 · huggingface.co 2026-10-25
datalab-to
Highest author-reported olmOCR-bench score among models labelled for document OCR: 85.8% (huggingface.co, 2026-10-07).
Sources: huggingface.co 2026-10-07 · huggingface.co 2026-10-25 · estimate method 2026-10-25
How people wire a model into this job. Notes are written by hand from the cited cards and docs; the model links go to the facts.
The first ten models labelled for document OCR, in the scoreboard's order for this job. The full list, sortable, lives in the scoreboard with these constraints.
| # | Evidence | |||||||
|---|---|---|---|---|---|---|---|---|
| 1 | DeepSeek-V4.1-Flashdeepseek-ai | ≈ $0.15 | $0.020 | 34 | ~458 GB | MIT | ||
| 2 | gemma-4-26B-A4B-itgoogle | ≈ $0.17 | $0.042 | 16 | ~16 GB | Apache 2.0 | ||
| 3 | gemma-4-26B-A4Bgoogle | ≈ $0.17 | $0.042 | 15 | ~16 GB | Apache 2.0 | ||
| 4 | gemma-4-31B-itgoogle | ≈ $0.32 | $0.10 | 14 | ~19 GB | Apache 2.0 | ||
| 5 | gemma-4-31Bgoogle | ≈ $0.32 | $0.10 | 13 | ~19 GB | Apache 2.0 | ||
| 6 | Qwen3-VL-30B-A3B-InstructQwen | ≈ $0.53 | $0.15 | 4 | ~19 GB | Apache 2.0 | ||
| 7 | Qwen3-VL-235B-A22B-InstructQwen | ≈ $0.74 | $0.20 | 3 | ~141 GB | Apache 2.0 | ||
| 8 | Qwen3-VL-8B-InstructQwen | ≈ $0.75 | $0.25 | 2 | ~5.3 GB | Apache 2.0 | ||
| 9 | GLM-4.6V-Flashzai-org | ≈ $0.90 | $0.30 | 2 | ~6.2 GB | MIT | ||
| 10 | GLM-4.6Vzai-org | ≈ $0.90 | $0.30 | 2 | ~65 GB | MIT |
None of them measure cost or field accuracy on your own documents. The cost line assumes about 1,500 input and 500 output tokens per page; dense forms, tables and long pages cost more.
Nearest scoreboard view: Cheapest hosted. Follow changes to this job's evidence: RSS.