Together AI Alternative for India

Together AI users: same class of open models, India-first billing

Together AI is a well-built platform for open-source and hosted inference, but it settles internationally, leaving Indian teams with payment friction and no GST input-tax credit. unoblox runs a comparable class of open-weight and proprietary models — Llama, Qwen, Gemma, DeepSeek, GPT, Claude — through one OpenAI-compatible endpoint, invoiced at each top-up in rupees.

Feature parity

Aspect	Together AI	unoblox
API style	OpenAI-compatible	OpenAI-compatible
Open-weight models	Llama, Qwen, and others	Llama 4, Qwen3, Gemma 4, DeepSeek, Kimi K3
Proprietary models	Limited	GPT, Claude — same key
Embeddings	Yes	Yes — Qwen3-Embedding, ₹0
Billing	International	₹, GST tax invoice issued at each top-up
Infrastructure	International	India (Yotta)

One-line migration

curl -X POST https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "meta-llama/llama-4-scout-17b-16e-instruct", "messages": [{"role": "user", "content": "Hello"}]}'

Same request shape, same response schema — only the host and key change.

Real ₹ pricing (per 1M tokens, input / output)

Model	Input	Output
Qwen3 235B-A22B	₹9.11	₹55.67
DeepSeek V4 Flash	₹9.11	₹18.21
Gemma 4 31B	₹20.24	₹40.48
Qwen3.8-27B	₹0	₹0

Anything outside this list — check live rates on /models rather than trust a stale number.

Why teams switch

• No international payment step. Lock in rupee pricing; finance stops tracking a foreign-currency vendor.
• GST input-credit. Claim 18% back on every rupee of eligible spend — roughly ₹18k back per ₹100k billed.
• One endpoint for open-weight and proprietary models. Stop juggling a second API key just to reach GPT or Claude.
• India-based company and billing. unoblox, your account data, logs and GST invoices are in India. Inference for external models (GPT, Claude, DeepSeek and others) runs at the model provider's own infrastructure outside India; only unoblox's self-hosted models run in India.
• Works with your existing tooling. LangChain, LlamaIndex, and any OpenAI-SDK-based framework point at the new base_url without extra adapters or wrapper libraries.

Frequently asked questions

Do you support custom fine-tuning like Together does? Not yet on the hosted API — we're prioritizing inference breadth first. You can fine-tune open-weight models like Qwen3.8-27B locally with LoRA and serve the adapter yourself.

Does my existing request structure carry over? Yes — headers, stream=True, temperature, top_p, and tool calls all work identically; only base_url and the key change.

What if a model you use gets deprecated upstream? We give 30 days' notice before retiring a model and keep the core lineup (Llama, Qwen, Gemma, DeepSeek) stable long-term.

How reliable is uptime? 99.95% SLA, with a 7-working-day refund path for extended outages and 90–180 days of request-log retention.

Can I reserve throughput ahead of a launch? Sustained volumes above ₹50k/month get priority queueing — email sales@unoblox.ai a week ahead of any expected traffic spike to arrange it in advance.

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