- Context
- 1.0M
- Input /M
- $0.16/M
- Output /M
- $0.53/M
- Cache read /M
- $0.08/M
- Cache hit
- 87.3%
- TTFT
- 4.3s
- Throughput
- 14.3 tps
Aoru AI
Aoru describes its inference API as zero-log and says prompts and outputs are not used for training.
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 Aoru AI
51 models
- Context
- 1.0M
- Input /M
- $0.16/M
- Output /M
- $0.53/M
- Cache read /M
- $0.08/M
- Cache hit
- 94.9%
- TTFT
- 4.2s
- Throughput
- 15.2 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 10.8%
- TTFT
- 8.8s
- Throughput
- 12.3 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 7.8%
- TTFT
- 7.2s
- Throughput
- 12.9 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 0%
- TTFT
- 21.4s
- Throughput
- 15.1 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 9.4%
- TTFT
- 9.1s
- Throughput
- 9.2 tps
- Context
- 262k
- Input /M
- $0.05/M
- Output /M
- $0.16/M
- Cache read /M
- $0.03/M
- Cache hit
- N/A
- TTFT
- 3.5s
- Throughput
- 64.5 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 1.8%
- TTFT
- 7.2s
- Throughput
- 9.3 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 27.6s
- Throughput
- 11.6 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 4.4s
- Throughput
- 12.9 tps
- Context
- 131k
- Input /M
- $0.05/M
- Output /M
- $0.26/M
- Cache read /M
- $0.03/M
- Cache hit
- 2.5%
- TTFT
- 1.1s
- Throughput
- 8.5 tps
- Context
- 131k
- Input /M
- $0.05/M
- Output /M
- $0.26/M
- Cache read /M
- $0.03/M
- Cache hit
- 45.5%
- TTFT
- 2.6s
- Throughput
- 7.7 tps
- Context
- 131k
- Input /M
- $0.05/M
- Output /M
- $0.26/M
- Cache read /M
- $0.03/M
- Cache hit
- 71.6%
- TTFT
- 7s
- Throughput
- 8.6 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 18.9%
- TTFT
- 9.1s
- Throughput
- 13.5 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.35/M
- Cache read /M
- $0.06/M
- Cache hit
- 92.8%
- TTFT
- 6.6s
- Throughput
- 15.5 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 0%
- TTFT
- 18.5s
- Throughput
- 14.8 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 3.5%
- TTFT
- 16.1s
- Throughput
- 20.7 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 10.9s
- Throughput
- 6.5 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 8.5s
- Throughput
- 8 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 2.9%
- TTFT
- 7.7s
- Throughput
- 8.3 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 15.4s
- Throughput
- 9.6 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 8.6%
- TTFT
- 8.4s
- Throughput
- 9.2 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 10.3s
- Throughput
- 8.6 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 9.2s
- Throughput
- 9.9 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 15.1%
- TTFT
- 9.7s
- Throughput
- 8.1 tps
- Context
- 1.0M
- Input /M
- $0.16/M
- Output /M
- $0.53/M
- Cache read /M
- $0.08/M
- Cache hit
- 0%
- TTFT
- 2s
- Throughput
- 16.9 tps
- Context
- 1.0M
- Input /M
- $0.16/M
- Output /M
- $0.53/M
- Cache read /M
- $0.08/M
- Cache hit
- 93.8%
- TTFT
- 4.3s
- Throughput
- 14.8 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 11.7s
- Throughput
- 7.5 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 0%
- TTFT
- 12.7s
- Throughput
- 13.5 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 69.4%
- TTFT
- 3.5s
- Throughput
- 19.9 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 0%
- TTFT
- 0.5s
- Throughput
- N/A
- Context
- 131k
- Input /M
- $0.05/M
- Output /M
- $0.16/M
- Cache read /M
- $0.03/M
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 6.8%
- TTFT
- 8.6s
- Throughput
- 8.5 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 16.2%
- TTFT
- 3.1s
- Throughput
- 15.4 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 25.9%
- TTFT
- 5.5s
- Throughput
- 32.6 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 92.2%
- TTFT
- 4.7s
- Throughput
- 32.2 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 27.3%
- TTFT
- 2.1s
- Throughput
- 33.2 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 18.8%
- TTFT
- 1.6s
- Throughput
- 34 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 31.6%
- TTFT
- 3.5s
- Throughput
- 44.5 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 39.3%
- TTFT
- 2.2s
- Throughput
- 30 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 3.5s
- Throughput
- 25.5 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 20.8%
- TTFT
- 1.8s
- Throughput
- 38 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 3.6s
- Throughput
- 32.9 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 63.2%
- TTFT
- 1.6s
- Throughput
- 23 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 4.6s
- Throughput
- 38.2 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 0%
- TTFT
- 3s
- Throughput
- 38.4 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 28.8%
- TTFT
- 1.8s
- Throughput
- 32.8 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.63/M
- Cache read /M
- $0.05/M
- Cache hit
- 28.8%
- TTFT
- 1.8s
- Throughput
- 32.8 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 0.7%
- TTFT
- 8.1s
- Throughput
- 9 tps
- Context
- 262k
- Input /M
- $0.13/M
- Output /M
- $0.40/M
- Cache read /M
- $0.06/M
- Cache hit
- 8%
- TTFT
- 10.4s
- Throughput
- 16.4 tps
- Context
- 262k
- Input /M
- $0.11/M
- Output /M
- $0.47/M
- Cache read /M
- $0.05/M
- Cache hit
- 66%
- TTFT
- 6s
- Throughput
- 8.9 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 Aoru AI via the API
Call a model served by Aoru AI 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": "z-ai/glm-5.3-flash-apex:aoru",
"messages": [{"role": "user", "content": "Hello"}]
}'For models with provider selection, append :aoru to the model ID, set "provider": "aoru" in the request body, or send an X-Provider: aoru 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.