OpenRouter alternative
Looking for an OpenRouter alternative?
thalam is an OpenAI-compatible gateway for production teams: a fixed upstream per model, per-key spend caps and audit logs, and credits that never expire. Switching is two lines of code.
thalam vs OpenRouter
An honest feature comparison — each wins on different things.
| Feature | thalam. | OpenRouter |
|---|---|---|
| OpenAI-compatible API | ||
| Catalog size OpenRouter optimizes for breadth; thalam curates a smaller frontier set each model is vetted for production. | Curated | 300+ |
| Fixed upstream per model OpenRouter routes dynamically by default; the provider parameter lets you pin a single upstream when you need to. | ||
| Per-key spend caps OpenRouter provisioning keys can carry a credit ceiling — coarser than per-call caps but real. | ||
| Audit logs OpenRouter shows a per-request log in the dashboard; thalam adds per-key attribution and retention. | ||
| Credits never expire | ||
| AED / regional invoicing | ||
| Free tier OpenRouter offers a free tier for prototyping. thalam is pay-per-token only — no free tier, no quotas. |
When OpenRouter is the better choice
We don't think thalam is for everyone. Reach for OpenRouter when:
- •You want the widest catalog possible — 300+ models for rapid experimentation.
- •You want a free tier to prototype before committing any budget.
- •Breadth of model choice matters more to you than per-model consistency.
But if you're running production workloads and want a fixed upstream, per-key governance, and regional billing — that's exactly what thalam is built for.
Two lines to switch
Change base_url and your API key. Every OpenAI SDK works unchanged.
from openai import OpenAI
client = OpenAI(
base_url="https://api.thalam.ai/v1", # was: https://openrouter.ai/api/v1
api_key="tl-live-...", # your thalam key
)
response = client.chat.completions.create(
model="deepseek/deepseek-v3.2",
messages=[{"role": "user", "content": "Hello"}],
)Frequently asked
Is thalam a drop-in replacement for OpenRouter?
Yes. Both are OpenAI-compatible, so switching is two lines: change base_url to https://api.thalam.ai/v1 and swap your API key. Every OpenAI SDK, LangChain and LlamaIndex work unchanged.
When is OpenRouter the better choice?
When you want the widest possible catalog (300+ models) for rapid experimentation, or a free tier to prototype before paying. OpenRouter is excellent for breadth and exploration — that's its strength.
Does thalam have a free tier?
No. thalam is pure pay-per-token — no free tier, no quotas, no surprise throttling. Credits never expire, so you only pay for what you use, when you use it.
How is thalam different in production?
A curated frontier catalog on fixed upstreams, per-key spend caps and audit logs in every account, credits that never expire, and regional (AED) invoicing on Enterprise. Built for teams running real workloads, not just experimenting.
Which models does thalam support?
Frontier open-weight models — DeepSeek, Qwen, Kimi, GLM, Kling, MiniMax — alongside leading Western models like GPT, Claude and Gemini, so one key covers a mixed stack across text, image and video.
Try it on the workload it’s built for
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