Kitani

Kitani

GLB
39 models available

NanoGPT requires zero data retention for Kitani routes serving Qwen 3.8 27B, GLM 5.3, Kimi K3, DeepSeek V4.1 Flash, GLM 5.3 Flash Uncensored, MiMo V2.6 Flash RL, and MiMo V2.6 Pro RL, including applicable thinking variants. Prompts and outputs are not retained or used for training; usage and billing metadata are retained. Kitani documents a 503 response when no qualified ZDR deployment is available. Its catalog reports encrypted inference transport (TLS) for the reviewed DeepSeek V4.1 Flash, uncensored, and MiMo RL routes. This is not a provider-wide ZDR commitment.

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 Kitani

39 models

ModelContextInput /MOutput /MCache read /MCache hitTTFTThroughput
262k$0.05/M$0.11/M$0.0008/MN/AN/AN/A
262k$0.05/M$0.11/M$0.0008/MN/AN/AN/A
8k$0.26/M$0.26/M$0.13/MN/AN/AN/A
8k$0.19/M$0.19/M$0.09/MN/AN/AN/A
33k$0.05/M$0.24/M$0.02/MN/AN/AN/A
66k$0.31/M$0.31/M$0.05/MN/AN/AN/A
66k$0.31/M$0.31/M$0.05/MN/AN/AN/A
66k$0.09/M$0.46/M$0.05/M48.1%2.5s12.5 tps
262k$0.11/M$0.31/MN/A0%1.3s39.2 tps
66k$0.11/M$0.47/M$0.05/MN/AN/AN/A
66k$0.11/M$0.47/M$0.05/MN/AN/AN/A
66k$0.11/M$0.47/M$0.05/MN/AN/AN/A
66k$0.09/M$0.46/M$0.05/MN/AN/AN/A
1M$0.58/M$2.10/M$0.12/M49.5%2.8s148.5 tps
1M$0.58/M$2.10/M$0.12/M49.6%2.3s111.6 tps
524k$0.21/M$0.84/M$0.01/M3.9%17.6s24.4 tps
33k$0.29/M$0.29/M$0.15/MN/AN/AN/A
8k$0.09/M$0.19/M$0.05/MN/AN/AN/A
8k$0.05/M$0.08/M$0.03/MN/AN/AN/A
8k$0.03/M$0.05/M$0.01/MN/AN/AN/A
1.0M$0.54/M$1.10/M$0.0045/M32.3%2.8s23.4 tps
8k$0.09/M$0.09/M$0.05/MN/AN/AN/A
8k$0.14/M$0.14/M$0.07/MN/AN/AN/A
8k$0.09/M$0.11/M$0.05/MN/AN/AN/A
8k$0.11/M$0.34/M$0.05/MN/AN/AN/A
8k$0.19/M$0.40/M$0.09/MN/AN/AN/A
8k$0.44/M$0.44/M$0.22/MN/AN/AN/A
8k$0.16/M$0.69/M$0.08/MN/AN/AN/A
1.0M$0.84/M$2.63/M$0.18/M89.8%3.5s90.7 tps
1.0M$0.84/M$2.63/M$0.18/M79.5%3.4s86.7 tps
8k$0.08/M$0.23/M$0.04/MN/AN/AN/A
49k$0.19/M$0.50/M$0.09/MN/AN/AN/A
49k$0.09/M$0.40/M$0.05/MN/AN/AN/A
8k$0.05/M$0.14/M$0.02/MN/AN/AN/A
262k$0.22/M$1.32/M$0.04/MN/AN/AN/A
262k$0.22/M$1.32/M$0.04/MN/AN/AN/A
66k$0.11/M$0.47/M$0.05/MN/AN/AN/A
66k$0.11/M$0.14/M$0.06/MN/AN/AN/A
16k$0.11/M$0.14/M$0.06/MN/AN/AN/A
Context
262k
Input /M
$0.05/M
Output /M
$0.11/M
Cache read /M
$0.0008/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
262k
Input /M
$0.05/M
Output /M
$0.11/M
Cache read /M
$0.0008/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.26/M
Output /M
$0.26/M
Cache read /M
$0.13/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.19/M
Output /M
$0.19/M
Cache read /M
$0.09/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
33k
Input /M
$0.05/M
Output /M
$0.24/M
Cache read /M
$0.02/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
66k
Input /M
$0.31/M
Output /M
$0.31/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
66k
Input /M
$0.09/M
Output /M
$0.46/M
Cache read /M
$0.05/M
Cache hit
48.1%
TTFT
2.5s
Throughput
12.5 tps
Context
262k
Input /M
$0.11/M
Output /M
$0.31/M
Cache read /M
N/A
Cache hit
0%
TTFT
1.3s
Throughput
39.2 tps
Context
66k
Input /M
$0.11/M
Output /M
$0.47/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
66k
Input /M
$0.11/M
Output /M
$0.47/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
66k
Input /M
$0.11/M
Output /M
$0.47/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
66k
Input /M
$0.09/M
Output /M
$0.46/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
1M
Input /M
$0.58/M
Output /M
$2.10/M
Cache read /M
$0.12/M
Cache hit
49.5%
TTFT
2.8s
Throughput
148.5 tps
Context
1M
Input /M
$0.58/M
Output /M
$2.10/M
Cache read /M
$0.12/M
Cache hit
49.6%
TTFT
2.3s
Throughput
111.6 tps
Context
524k
Input /M
$0.21/M
Output /M
$0.84/M
Cache read /M
$0.01/M
Cache hit
3.9%
TTFT
17.6s
Throughput
24.4 tps
Context
33k
Input /M
$0.29/M
Output /M
$0.29/M
Cache read /M
$0.15/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.09/M
Output /M
$0.19/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.05/M
Output /M
$0.08/M
Cache read /M
$0.03/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.03/M
Output /M
$0.05/M
Cache read /M
$0.01/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
1.0M
Input /M
$0.54/M
Output /M
$1.10/M
Cache read /M
$0.0045/M
Cache hit
32.3%
TTFT
2.8s
Throughput
23.4 tps
Context
8k
Input /M
$0.09/M
Output /M
$0.09/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.14/M
Output /M
$0.14/M
Cache read /M
$0.07/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.09/M
Output /M
$0.11/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.11/M
Output /M
$0.34/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.19/M
Output /M
$0.40/M
Cache read /M
$0.09/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.44/M
Output /M
$0.44/M
Cache read /M
$0.22/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.16/M
Output /M
$0.69/M
Cache read /M
$0.08/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
1.0M
Input /M
$0.84/M
Output /M
$2.63/M
Cache read /M
$0.18/M
Cache hit
89.8%
TTFT
3.5s
Throughput
90.7 tps
Context
1.0M
Input /M
$0.84/M
Output /M
$2.63/M
Cache read /M
$0.18/M
Cache hit
79.5%
TTFT
3.4s
Throughput
86.7 tps
Context
8k
Input /M
$0.08/M
Output /M
$0.23/M
Cache read /M
$0.04/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
49k
Input /M
$0.19/M
Output /M
$0.50/M
Cache read /M
$0.09/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
49k
Input /M
$0.09/M
Output /M
$0.40/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
8k
Input /M
$0.05/M
Output /M
$0.14/M
Cache read /M
$0.02/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
262k
Input /M
$0.22/M
Output /M
$1.32/M
Cache read /M
$0.04/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
262k
Input /M
$0.22/M
Output /M
$1.32/M
Cache read /M
$0.04/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
66k
Input /M
$0.11/M
Output /M
$0.47/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
66k
Input /M
$0.11/M
Output /M
$0.14/M
Cache read /M
$0.06/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
Context
16k
Input /M
$0.11/M
Output /M
$0.14/M
Cache read /M
$0.06/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A

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 Kitani via the API

Call a model served by Kitani 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": "deepseek/deepseek-v4.1-flash:kitani",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

For models with provider selection, append :kitani to the model ID, set "provider": "kitani" in the request body, or send an X-Provider: kitani 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.