LLM Tech

Data handling can vary by model and deployment. The privacy badge above shows the more conservative of the provider-wide fallback and the policies for routes on this page; each model page shows the policy for that specific route.

LLM Tech states that prompts and outputs are processed only in volatile memory with zero content retention and are not used for training. Its current EU path uses a Hetzner edge in Nuremberg, Germany, and a dedicated GPU deployment rented from Seeweb S.r.l. in Italy.

Models served by LLM Tech

Model	Context	Input /M	Output /M	Cache read /M	Latency	Throughput
Qwen3.8 27B NVFP4 qwen3.8-27b:llmtech	262k	$0.15/M	$0.70/M	$0.04/M	0.2s	61.6 tps
Qwen3.8 27B Thinking NVFP4 qwen3.8-27b:thinking:llmtech	262k	$0.15/M	$0.70/M	$0.04/M	0.2s	61.6 tps

Prices are per million tokens. Selectable routes include the applicable provider-selection markup; fixed routes show the standard model price. Availability and pricing refresh continuously; each model page shows the live provider comparison.

Using LLM Tech via the API

For models with provider selection, append :llmtech to the model ID, set "provider": "llmtech" in the request body, or send an X-Provider: llmtech header. Explicit provider selection adds a route-specific markup over that provider's base price; the prices in the table above already include it. Models without provider selection use the displayed model ID without a provider suffix or selection surcharge.

curl https://nano-gpt.com/api/v1/chat/completions \
  -H "Authorization: Bearer $NANOGPT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-27b:llmtech",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

See the API documentation for provider preferences, price-aware routing, and error behavior.