Claude Opus 5.5 is the best AI for document analysis. MiMo-V2.6-Pro comes close for 7% of the cost, and DeepSeek V4.1 Flash answers fastest.
Claude Opus 5.5 is the best AI for document analysis. MiMo-V2.6-Pro comes close for 7% of the cost, and DeepSeek V4.1 Flash answers fastest.
27 models · Updated September 2026 · Data from Artificial Analysis
Claude Opus 5.5
Anthropic · High effort
The highest score of any model that accepts images at this setting.
MiMo-V2.6-Pro
Xiaomi · Standard effort
86% of Claude Opus 5.5's score for 7% of the cost.
DeepSeek V4.1 Flash
DeepSeek · Max effort
The quickest full answer from a model scoring 38 or more.
Over 45 s at every tested setting
Claude Opus 5.5
Anthropic · High effort
The highest score of any model that accepts images at this setting.
MiMo-V2.6-Pro
Xiaomi · Standard effort
86% of Claude Opus 5.5's score for 7% of the cost.
DeepSeek V4.1 Flash
DeepSeek · Max effort
The quickest full answer from a model scoring 38 or more.
Each job favors a different model. Pick the one closest to yours.
Contracts and reports that need careful reading
Use
Claude Opus 5.5
Anthropic · High effort
The strongest reasoning at everyday effort, for documents where a missed clause matters. $65.68 per 1,000 documents.
Contracts and reports that need careful reading
Use Claude Opus 5.5
The strongest reasoning at everyday effort, for documents where a missed clause matters. $65.68 per 1,000 documents.
Invoice and form extraction at volume
Use MiMo-V2.6-Pro
$4.54 per 1,000 documents, about 7% of what Claude Opus 5.5 costs. Each document takes about 61 seconds, so run it as a batch.
Questions about a document while someone waits
Use DeepSeek V4.1 Flash
A full answer in about 12 seconds for $7.34 per 1,000 documents.
Staying with OpenAI
Use GPT-6 Astra
The highest-scoring OpenAI model at everyday effort: 49.6, with a full answer in 15 seconds.
Scanned pages and photos of paper
If the text isn't selectable, it has to be read from the image first. The OCR page covers that step.
Charts and figures inside reports
Explaining a chart needs image reasoning more than document handling.
Each dot is a model. Higher scores better, further left is cheaper, so the best deals sit top left. The cost axis is logarithmic: every step left is a big saving. Hover a dot for its numbers.
Sort by the pillar you care about, and set your monthly volume to see the bill. Costs include each model's thinking tokens at the setting shown.
Claude Opus 5.5. At everyday effort it scores 53.6 against 51.2 for Claude Fable 5.1, and costs $65.68 per 1,000 documents against $149.
Claude Sonnet 5 looks cheaper on list price ($2/$10 per million tokens against $4/$20), but at extra high effort it thinks so much that 1,000 documents cost about $77.68, more than Claude Opus 5.5, for a score of 34.4.
All three picks accept at least 1 million tokens, so a long report fits in one go. The limit you'll hit first is cost.
Every page you send is billed as input, and every follow-up question sends the whole document again. For long files, pull out the sections you need first, or ask all your questions in one request.
For everyday summaries, DeepSeek V4.1 Flash is enough: it answers in about 12 seconds and costs $7.34 per 1,000 documents. Use Claude Opus 5.5 when the summary has to catch nuance, like obligations in a contract or caveats in a research paper. Most of the cost is reading the document, so a shorter summary saves less than you'd expect.
Every model on this page accepts both text and images, so it can read scanned pages as well as digital PDFs. We compare every model at the setting people run day to day: its strongest reasoning setting that gives a full answer within 45 seconds in Artificial Analysis's tests. Switch to Max effort above for the benchmark numbers.
Intelligence is the Artificial Analysis Intelligence Index at that setting. It measures general reasoning, which is what careful reading and extraction depend on.
Cost starts from a short document: 6,000 input tokens for the pages and your instructions, and 4,000 output tokens for the answer. Longer documents cost more in proportion. We scale the output by how much each model wrote, thinking included, in Artificial Analysis's tests, so a model that thinks a lot pays for it.
Speed is the median time to a full answer in the same tests.
Best value is the most intelligence per dollar and fastest is the quickest full answer, both among models scoring 38 or more (within 30% of the leader). Neither pick goes to a model its maker has replaced.
Claude Opus 5.5 at high effort. It scores 53.6 on the Artificial Analysis Intelligence Index, the highest at everyday settings, and costs about $65.68 per 1,000 documents. For bulk extraction, MiMo-V2.6-Pro costs $4.54.
Claude Opus 5.5. At everyday effort it scores 53.6 against 51.2 for Claude Fable 5.1, and costs $65.68 per 1,000 documents against $149. Claude Sonnet 5 looks cheaper on list price ($2/$10 per million tokens against $4/$20), but at extra high effort it thinks so much that 1,000 documents cost about $77.68, more than Claude Opus 5.5, for a score of 34.4.
GPT-6 Luna, at about $1.55 per 1,000 documents. It scores 33.9, so check a sample of its extractions before you rely on it.
DeepSeek V4.1 Flash, with a full answer in about 12 seconds. It scores 39.5, so it suits quick lookups more than careful review.
For most summaries, DeepSeek V4.1 Flash: a full answer in about 12 seconds for $7.34 per 1,000 documents. For summaries that must catch nuance, Claude Opus 5.5 scores highest at 53.6.
Yes. Every model on this page accepts images, so it can read scanned pages directly. For large batches of scans, the OCR page covers the cheapest ways to extract the text first.
Answer three questions and get a pick for each part of your workload, with the monthly cost.