Switch AI provider without a rewrite

Most AI APIs lock you in. Change from GPT to Claude? Rewrite your prompts, adjust token limits, test everything. Not with unoblox. It's OpenAI-compatible, so switching models is one config change.

The Problem: Vendor Lock-In

• OpenAI: Its own API contract, no GST invoice, an international card required, rate limits that vary by tier
• Anthropic: A different message format, a separate account, its own token counting, no rupee invoicing
• Together AI: Narrower model selection, US-based routing, the same international-payment friction
• Azure OpenAI: Enterprise-only onboarding, more setup steps, data-residency terms you have to dig for

Each requires app rewrites. unoblox fixes this.

How OpenAI Compatibility Works

unoblox wraps every model—GPT, Claude, Qwen, DeepSeek, Llama, Gemma, Kimi—behind a single OpenAI SDK interface. Swap models by changing one line:

// Switch from GPT to DeepSeek without rewriting
client = OpenAI(api_key="ub-gw-...", base_url="https://api.unoblox.ai/v1")
response = client.chat.completions.create(
  model="openai/gpt-4o",  // Change this one line
  messages=[...]
)

Same parameters, same streaming, same tools—all supported across providers.

Price Comparison (same endpoint)

Model	₹ per 1M input tokens	Use case
Qwen3 1.7B	FREE	Agents, retrieval, low-stakes
DeepSeek V4 Flash	₹9.07	Budget coding, translation, summary
Qwen3 235B	₹9.07	Reasoning, RAG, vision
GPT-4o	₹252	Complex tasks, broad knowledge
Claude Opus	₹504	Long-context, nuanced reasoning

Test cheaper models in dev; scale to premium in production—all without vendor rewriting.

Frequently asked questions

Do I lose Claude/GPT features (tools, JSON mode)?

No. unoblox supports streaming, tool-use, JSON mode, vision, and max_tokens across all models. Feature parity checked per model in /models docs.

Will switching models break my app?

Only if your model uses genuinely unique behavior (e.g., Claude's thinking parameter). unoblox normalizes core OpenAI semantics, so standard prompts port seamlessly.

How do I test a new model safely?

Use A/B routing: send 5% of requests to the new model in a feature flag. Monitor latency + cost. Full rollout takes hours, not weeks.

Can I use multiple models in production simultaneously?

Yes. Route different queries to different models via unoblox (e.g., simple queries → Qwen3.8-27B, complex → GPT-4o). Load-balanced by your code.

What happens if unoblox is down?

Implement local fallback + retry logic. unoblox targets 99.95% uptime; when down, your code can timeout and alert your team.

Do tool definitions need per-model adjustment?

Rarely. OpenAI tool schema works across Claude, GPT, DeepSeek, Qwen. Test once, deploy everywhere via unoblox.

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