Cohere Alternative in India | unoblox

Cohere built its reputation on three building blocks for search and retrieval: generation, embeddings and reranking, billed and supported from outside India. unoblox doesn't resell Cohere's own models, but it covers the same three jobs — generation, native embeddings, and native reranking — behind a single rupee-billed key.

What Cohere is built for

Cohere's Command-line models are widely used for generation, paired with its Embed and Rerank APIs to build retrieval-augmented generation (RAG) and search pipelines. That combination is popular precisely because all three pieces come from one vendor with one API shape.

The gap for a retrieval pipeline built from India

Reproducing that combination often means separate international billing relationships for generation versus embeddings and reranking, each settled outside India and each needing its own reconciliation for a finance team that would rather see one clean GST trail. None of that is a criticism of Cohere's product — it's simply not built around Indian billing and invoicing.

Generation, embeddings and rerank on one key

Building block	unoblox endpoint	Notes
Generation	/v1/chat/completions	Any catalog model — see pricing below
Embeddings	/v1/embeddings (native)	Current model and live ₹ rate on /models
Reranking	/v1/rerank (native)	Current model and live ₹ rate on /models

For the generation leg, a few representative rates:

Model	Input ₹ / 1M tokens	Output ₹ / 1M tokens
Qwen3 235B-A22B	₹9.07	₹55.44
DeepSeek V3.2	₹26.21	₹38.30
GPT-5 mini	₹25.2	₹201.6

Calling it in the same shape

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-xxxxxxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek-ai/deepseek-v3.2","messages":[{"role":"user","content":"Summarise the retrieved passages below."}]}'

The embeddings and rerank endpoints follow the same base URL and key — no separate account or contract for either.

Beyond retrieval: coding and analysis in the same catalog

RAG pipelines built on Cohere are often paired with a separate coding assistant or writing tool once the retrieved context needs to become code, a report, or a structured answer. On unoblox, Kimi K2.7 (₹68.5 / ₹342.7) covers code-heavy generation, and Claude Sonnet (₹201.6 / ₹1,008) handles longer analytical writing — both on the same key and the same monthly invoice as the retrieval pipeline itself, so a full stack doesn't mean a third vendor relationship.

Frequently asked questions

Does unoblox host Cohere's Command models? No. unoblox doesn't resell Cohere's proprietary models; it offers its own catalog of generation models plus native embeddings and reranking, all under one key.

Can I build a full retrieval-augmented generation pipeline on unoblox alone? Yes — embeddings for indexing, rerank for narrowing results, and a chat-completion model for the final answer all sit behind the same endpoint and key.

Is reranking a separate contract or the same key? Same key, same monthly invoice. /v1/rerank is billed the same way as the rest of your usage.

How is billing different from Cohere? One monthly GST invoice in rupees from an Indian entity, instead of an international billing relationship with no domestic GST invoice.

Which model should I use for embeddings right now? Check /models for the current native embeddings model and its live rate rather than assuming a fixed price here.

Do I need separate accounts for generation and retrieval? No — one unoblox account and key cover generation, embeddings and rerank.

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