Compare the best 87 document question answering models and try them on your own images, free in the Roboflow Playground. 29 are open-weight, so you can self-host them for free under their licenses.
87 models · 29 open-weight · 87 free to try · prices synced Oct 26, 2026
We haven't benchmarked document question answering yet; scores and rankings appear on this site only where we've measured them. Until then, compare the models below, and for fixed categories in production expect a model fine-tuned on your own data to win.
29 models with downloadable weights you can self-host under their licenses (Custom, MIT, and Apache 2.0). All run live in the Playground through hosted APIs, so self-hosting is optional.
| Actions | ||||
|---|---|---|---|---|
Mistral Large 4Mistral | 1.05T total, 49B active | Custom | Oct 2026 | |
MiMo V2.6 FlashXiaomi | 309B total, 15B active | MIT | Sep 2026 | |
MiMo V2.6 ProXiaomi | 1.02T total, 42B active | MIT | Sep 2026 | |
GLM 5.3 FlashZ.ai | 320B total, 18B active | MIT | Aug 2026 | |
Qwen3.8 27BQwen | 27.78B | Apache 2.0 | Aug 2026 | |
Muse Glimmer 30BMeta | 29.6B | Apache 2.0 | Aug 2026 | |
Kimi K3Moonshot AI | 2.8T | Modified MIT | Jul 2026 | |
Qwen3.6 27BQwen | 27B | Apache 2.0 | Apr 2026 | |
Qwen3.6 35B A3BQwen | 35B total, 3B active | Apache 2.0 | Apr 2026 | |
Gemma 4 26B A4BGoogle | 25.2B | Apache 2.0 | Apr 2026 | |
Gemma 4 31BGoogle | 31B | Apache 2.0 | Apr 2026 | |
GLM-OCRZ.ai | 0.9B | MIT | Mar 2026 | |
Qwen3.5 9bQwen | 9B | Apache 2.0 | Mar 2026 | |
| 122B | Apache 2.0 | Feb 2026 | ||
Qwen3.5 35B A3BQwen | 35B | Apache 2.0 | Feb 2026 | |
Qwen3.5-27BQwen | 27B | Apache 2.0 | Feb 2026 | |
| 397B | Apache 2.0 | Feb 2026 | ||
Kimi K2.5Moonshot AI | 1T | Modified MIT | Jan 2026 | |
| 8.8B | Apache 2.0 | Oct 2025 | ||
| 31B | Apache 2.0 | Oct 2025 | ||
| 235B | Apache 2.0 | Sep 2025 | ||
Llama 4 MaverickMeta | 400B | Custom | Apr 2025 | |
Llama 4 ScoutMeta | 109B | Custom | Apr 2025 | |
Mistral Small 3.1 24BMistral | 24B | Apache 2.0 | Mar 2025 | |
Gemma 3 12BGoogle | 12B | Custom | Mar 2025 | |
Gemma 3 27BGoogle | — | Custom | Mar 2025 | |
Gemma 3 4BGoogle | 4B | Custom | Mar 2025 | |
| 7B | Apache 2.0 | Jan 2025 | ||
Pixtral 12BMistral | 12B | Apache 2.0 | Sep 2024 |
58 proprietary models where the weights aren't downloadable: access is through each provider's API and billed by them. Try all of them free in the Playground.
| Actions | |||||
|---|---|---|---|---|---|
Gemini 4 ArgonGoogle NEW | $2.00 | $10.00 | 1M | Oct 2026 | |
Muse WonderMeta | $4.00 | $20.00 | 1.0M | Oct 2026 | |
Claude Haiku 5.5Anthropic | $0.10 | $0.50 | 1M | Oct 2026 | |
GPT-6.1 SolOpenAI | $2.00 | $10.00 | 1.1M | Sep 2026 | |
Claude Sonnet 5.5Anthropic | $2.00 | $10.00 | 1M | Sep 2026 | |
Claude Opus 5.5Anthropic | $4.00 | $20.00 | 1M | Sep 2026 | |
GPT-6 LunaOpenAI | $0.10 | $0.50 | 1.1M | Sep 2026 | |
GPT-6 SolOpenAI | $2.00 | $10.00 | 1.1M | Sep 2026 | |
Grok 4.7SpaceXAI | $2.00 | $6.00 | 500K | Sep 2026 | |
GPT-6 AstraOpenAI | $10.00 | $50.00 | 1.1M | Sep 2026 | |
Gemini 3.8 FlashGoogle | $0.83 | $4.13 | 1.0M | Sep 2026 | |
Muse Spark 1.3Meta | $1.25 | $4.25 | 1.0M | Sep 2026 | |
Claude Fable 5.1Anthropic | $10.00 | $50.00 | 1M | Sep 2026 | |
Qwen3.8 FlashQwen | $0.15 | $0.47 | 1M | Aug 2026 | |
Gemini 3.7 FlashGoogle | $0.75 | $3.75 | 1.0M | Aug 2026 | |
Grok 4.6SpaceXAI | $2.00 | $6.00 | 500K | Aug 2026 | |
Muse Spark 1.2Meta | $1.25 | $4.25 | 1.0M | Aug 2026 | |
Qwen3.8 MaxQwen | — | — | 984K | Aug 2026 | |
Qwen3.7 FlashQwen | $0.030 | $0.13 | 1M | Jul 2026 | |
Claude Opus 5Anthropic | $5.00 | $25.00 | 1M | Jul 2026 | |
Gemini 3.5 Flash-LiteGoogle | $0.30 | $2.50 | 1.0M | Jul 2026 | |
Gemini 3.6 FlashGoogle | $0.75 | $3.75 | 1M | Jul 2026 | |
GPT-5.6 LunaOpenAI | $0.20 | $1.20 | 1.5M | Jul 2026 | |
GPT-5.6 SolOpenAI | $4.00 | $20.00 | 1.5M | Jul 2026 | |
GPT-5.6 TerraOpenAI | $2.00 | $12.00 | 1.1M | Jul 2026 | |
Muse Spark 1.1Meta | $1.25 | $4.25 | 1.0M | Jul 2026 | |
Grok 4.5SpaceXAI | $2.00 | $6.00 | 500K | Jul 2026 | |
Claude Sonnet 5Anthropic | $2.00 | $10.00 | 1M | Jun 2026 | |
Claude Fable 5Anthropic | $10.00 | $50.00 | 1M | Jun 2026 | |
Claude Opus 4.8Anthropic | $5.00 | $25.00 | 1M | May 2026 | |
Gemini 3.5 FlashGoogle | $1.50 | $9.00 | 1.0M | May 2026 | |
GPT-5.5OpenAI | $5.00 | $30.00 | 1M | Apr 2026 | |
Claude Opus 4.7Anthropic | $5.00 | $25.00 | 1M | Apr 2026 | |
Qwen3.6 FlashQwen | $0.19 | $1.13 | 1M | Apr 2026 | |
Qwen3.6 PlusQwen | $0.33 | $1.95 | 1M | Apr 2026 | |
GLM 5V TurboZ.ai | $1.20 | $4.00 | 200K | Apr 2026 | |
GPT-5.4 MiniOpenAI | $0.75 | $4.50 | 400K | Mar 2026 | |
GPT-5.4 NanoOpenAI | $0.20 | $1.25 | 400K | Mar 2026 | |
GPT-5.4OpenAI | $2.50 | $15.00 | 1.1M | Mar 2026 | |
Gemini 3.1 Flash-LiteGoogle | $0.25 | $1.50 | 1M | Mar 2026 | |
Gemini 3.1 ProGoogle | $2.00 | $12.00 | 1M | Feb 2026 | |
Claude Sonnet 4.6Anthropic | $3.00 | $15.00 | 1M | Feb 2026 | |
Claude Opus 4.6 Anthropic | $5.00 | $25.00 | 1M | Feb 2026 | |
Gemini 3 FlashGoogle | $0.50 | $3.00 | 1M | Dec 2025 | |
GPT-5.2OpenAI | $1.75 | $14.00 | 400K | Dec 2025 | |
Claude Opus 4.5Anthropic | $5.00 | $25.00 | 200K | Nov 2025 | |
GPT-5.1OpenAI | $1.25 | $10.00 | 196K | Nov 2025 | |
Claude Haiku 4.5Anthropic | $1.00 | $5.00 | 200K | Oct 2025 | |
Claude Sonnet 4.5Anthropic | $3.00 | $15.00 | 200K | Sep 2025 | |
Mistral Medium 3.1Mistral | $0.40 | $2.00 | 128K | Aug 2025 | |
GPT-5OpenAI | $1.25 | $10.00 | — | Aug 2025 | |
GPT-5 MiniOpenAI | $0.25 | $2.00 | 400K | Aug 2025 | |
GPT-5 NanoOpenAI | $0.050 | $0.40 | 400K | Aug 2025 | |
Gemini 2.5 Flash-LiteGoogle | $0.10 | $0.40 | 1M | Jul 2025 | |
Gemini 2.5 FlashGoogle | $0.30 | $2.50 | 1M | Jul 2025 | |
Grok 4SpaceXAI | — | — | — | Jul 2025 | |
Gemini 2.5 ProGoogle | $1.25 | $10.00 | 1M | Jun 2025 | |
Qwen VL MaxQwen | — | — | — | Feb 2025 |
Document QA layers reading, layout understanding, and reasoning. The practical choice is between end-to-end VLMs and structured extraction pipelines, and it turns on whether your questions are fixed or free-form.
If you always want the same fields (total, date, account number), frame it as structured extraction: prompt a document-capable model for a JSON schema, validate the output, and route failures to review. Fixed schemas are easier to evaluate and monitor than free-form answers, and cheaper models handle them reliably.
When users ask arbitrary questions about arbitrary documents, a strong VLM reading the page image end to end is the practical choice: it handles tables, key-value layouts, and reading order without a custom pipeline. Accuracy drops on dense tables and long multi-page documents, so keep humans in the loop where errors are costly.
The bottom line: Fixed fields deserve a schema-based extraction pipeline with validation; free-form questions justify an end-to-end VLM, with review on high-stakes answers.
Yes. 29 of the 87 document question answering models here are open-weight (for example Mistral Large 4, MiMo V2.6 Flash, and MiMo V2.6 Pro), free to self-host under their licenses (Custom, MIT, and Apache 2.0).
Yes. You can run all 87 in the Roboflow Playground for free. Upload an image and compare the models' output side by side, no setup required.
This page lists all 87 document question answering models in the Roboflow Playground catalog: 29 open-weight models you can self-host and 58 proprietary models accessed through provider APIs; all of them run live in the Roboflow Playground on your own images. Compare licenses, parameters, API prices, and release dates side by side, or open any model page for full details.