- Context
- 262k
- Input /M
- $0.15/M
- Output /M
- $0.70/M
- Cache read /M
- $0.04/M
- TTFT
- 0.2s
- Throughput
- 61.6 tps
LLM Tech
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.
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.
Models served by LLM Tech
- Context
- 262k
- Input /M
- $0.15/M
- Output /M
- $0.70/M
- Cache read /M
- $0.04/M
- TTFT
- 0.2s
- Throughput
- 61.6 tps
Prices are per million tokens. TTFT is the observed time to first token. 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
Call a model served by LLM Tech using its displayed model ID, including the provider suffix when selection is supported.
cURL
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"}]
}'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.
See the API documentation for provider preferences, price-aware routing, and error behavior.