Gujarati NLP API in India

Gujarati is the language of one of India's most active trading and manufacturing economies — Ahmedabad, Surat, and Rajkot all run on a dense network of SMEs that correspond, invoice, and support customers in Gujarati as much as English. unoblox lets these teams test large multilingual models for Gujarati text work through a single rupee-billed API instead of a scattered set of vendor bills.

Don't assume a model handles Gujarati well — test it

There is no Gujarati-specific model in unoblox's catalog, and that's true of essentially every general LLM provider today. What's available are large multilingual models with broad but uneven language coverage. The only reliable way to pick one is to run your actual Gujarati prompts — a customer email, a product description, a support ticket — through two or three candidates and compare.

Models to shortlist for Gujarati

Model	₹ input / ₹ output (per 1M tokens)	Notes
deepseek-ai/deepseek-v4-flash	₹9.07 / ₹18.14	The cheapest paid option in the catalog — good for high-volume drafting.
qwen/qwen3.8-27b	₹16.32 / ₹48.96	Open-weight and vision-capable, useful if you also need to read scanned Gujarati documents.
meta-llama/llama-4-maverick-17b-128e-instruct-fp8	₹20.16 / ₹80.64	A larger multilingual Llama 4 option for a second opinion.
anthropic/claude-sonnet-4-5	₹201.6 / ₹1008	Strong for longer, more nuanced Gujarati correspondence.
qwen/qwen3-1.7b	FREE (₹0)	Free tier for early testing.

Anything not in this table should be treated as "see live pricing" — check /models for the current rupee rate.

Where Gujarati text tools get used

• Drafting and summarising trade and vendor correspondence
• Customer support for regional retail and D2C brands
• Extracting text from scanned invoices or purchase orders (pair with a vision-capable model like qwen/qwen3.8-27b)
• Transliteration between Gujarati script and Roman characters

A sample call

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-ai/deepseek-v4-flash",
    "messages": [{"role": "user", "content": "Summarise this Gujarati vendor email in two lines."}]
  }'

Existing OpenAI SDK code typically needs only a base-URL and key change to work against unoblox.

What the rupee-native part actually covers

unoblox's India benefit is billing and access: rupee pricing, one monthly GST invoice, one endpoint, no international card. It is not data residency for the models above, which run on their providers' infrastructure outside India — only unoblox's small unoblox-hosted models run on Indian infrastructure, and /models shows which those are.

Frequently asked questions

Is there a model trained specifically for Gujarati? No — unoblox offers general multilingual models; none targets Gujarati specifically.

Which model handles Gujarati trade correspondence best? That depends on your documents' formality and vocabulary. Test a couple of models from the table against real samples before deciding.

Can a model read scanned Gujarati invoices? Only a vision-capable model can process an image at all — qwen/qwen3.8-27b supports vision, though OCR-style accuracy on handwritten or low-quality scans should still be verified on your own documents.

Is pricing really in rupees? Yes, every model is priced per million tokens in rupees, billed monthly with GST.

Is there a free way to start? Yes, qwen/qwen3-1.7b is free (₹0).

Do I need new tooling to integrate? No — point your existing OpenAI-compatible SDK at https://api.unoblox.ai/v1 with a ub-gw-... key.

Get started in rupees → https://unoblox.ai/sign-in