Decart

Models served by Decart

Model	Context	Input /M	Output /M	Cache read /M	Cache hit	Latency	Throughput
GLM 5.2 FP4 z-ai/glm-5.2:decart	1.0M	$0.72/M	$2.39/M	$0.12/M	N/A	1.1s	87 tps
GLM 5.2 (Thinking) FP4 z-ai/glm-5.2:thinking:decart	1.0M	$0.72/M	$2.39/M	$0.12/M	N/A	1.1s	87 tps
GLM 5.3 FP4 z-ai/glm-5.3:decart	1.0M	$1.25/M	$3.93/M	$0.21/M	0%	9s	35 tps
GLM 5.3 (Thinking) FP4 z-ai/glm-5.3:thinking:decart	1.0M	$1.25/M	$3.93/M	$0.21/M	15.9%	9s	35 tps
Kimi K2.6 FP4 moonshotai/kimi-k2.6:decart	256k	$0.56/M	$2.37/M	$0.10/M	36.4%	0.5s	89 tps
Kimi K2.6 Thinking FP4 moonshotai/kimi-k2.6:thinking:decart	256k	$0.56/M	$2.37/M	$0.10/M	36.4%	0.5s	89 tps

Prices are per million tokens and include the 5% provider-selection markup. Availability and pricing refresh continuously; each model page shows the live provider comparison.

Using Decart via the API

Append :decart to the model ID, set "provider": "decart" in the request body, or send an X-Provider: decart header. Explicit provider selection adds a 5% markup over that provider's base price; the prices in the table above already include it.

curl https://nano-gpt.com/api/v1/chat/completions \
  -H "Authorization: Bearer $NANOGPT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5.2:decart",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

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