Groq Alternative for India
Replace Groq with unoblox in India: all models (Llama, Qwen, GPT, Claude) on one key, billed in ₹ with GST invoices from an Indian entity.
Groq users in India: keep the speed, fix the billing
Groq's LPU hardware is genuinely fast, but it settles internationally — payment friction and no GST input-tax credit for Indian teams. unoblox pairs ₹-native invoicing and GST compliance from an Indian entity with a broad model roster, through the OpenAI SDK you already use.
Speed and cost side by side
| Model | ₹ input / output (1M tokens) |
|---|---|
| DeepSeek V4 Flash | ₹9.11 / ₹18.21 |
| Llama 4 Scout | ₹10.12 / ₹30.36 |
| Qwen3.8-27B | ₹0 / ₹0 |
| Claude Sonnet | ₹202.46 / ₹1,012.28 |
The real trade-off
Groq's custom silicon still wins on raw single-request latency for ultra-low-latency use-cases like live voice. If your workload is throughput-heavy and cost-sensitive — batch document processing, dataset labeling, high-volume chat — unoblox wins on ₹ pricing, GST recovery, and not managing a second international vendor relationship.
For latency-sensitive but budget-constrained apps, Qwen3.8-27B streams free and fast enough for most conversational UIs; step up to DeepSeek V4 Flash when you need stronger reasoning without losing speed. Either way, stream=True delivers incremental tokens the same way Groq's SDK does, so a real-time chat UI doesn't need any front-end changes.
Switch your endpoint
# OLD (Groq SDK)
from groq import Groq
client = Groq(api_key="gsk_...")
# NEW (unoblox) — plain OpenAI SDK
from openai import OpenAI
client = OpenAI(
api_key="ub-gw-...",
base_url="https://api.unoblox.ai/v1"
)
response = client.chat.completions.create(
model="deepseek-ai/deepseek-v4-flash",
messages=[{"role": "user", "content": "Fast answer, please"}]
)
Why teams switch
- ₹-billed, GST-invoiced. No international statement to reconcile; claim your 18% input-tax credit.
- Broader model roster. Llama, Qwen, DeepSeek, Gemma, GPT, and Claude on one key — Groq's catalog is narrower.
- 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.
- Batch-friendly pricing. No per-query premium for high-volume, non-real-time jobs.
- One contract, not two. Chat, embeddings, and reranking all bill on the same GST invoice as your LLM traffic — no separate vendor relationship to manage for retrieval work.
Frequently asked questions
Will I lose Groq's raw speed advantage? For single-request latency, Groq's hardware is still faster. For chat, search, and content generation most users will not notice the difference, but measure latency on your own workload before you decide.
Do you support the Groq SDK directly? No, but the OpenAI SDK format is a full match — stream=True, tool calls, and JSON mode all carry over with just the endpoint and key changed.
Can I keep Groq as a failover? Yes — configure both endpoints in your client and route to unoblox first, falling back to Groq if a request errors.
What's your uptime commitment? 99.95% SLA with a 7-working-day refund path for extended outages; request logs are kept 90–180 days.
Can I reserve throughput for a launch? Yes, through Private AI: dedicated GPUs run for you, arranged with the team. The shared API has no per-key reservation, so for a high-volume launch on it, email sales@unoblox.ai ahead of time.
Get started in rupees → https://unoblox.ai/sign-in
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Start building in rupees
Call every major model through one OpenAI-compatible endpoint, billed in ₹ on a GST invoice.