- Context
- 1.0M
- Input /M
- $0.07/M
- Output /M
- $0.14/M
- Cache read /M
- $0.01/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- 1.8s
- Throughput
- 68.1 tps
Runware
Runware directly confirmed zero data retention for the five original self-hosted text models: GLM 5.3, GLM 5.3 Flash, GLM 5.2, DeepSeek V4 Flash, and GPT OSS 120B. This confirmation does not cover the newer DeepSeek V4.1 Flash, MiniMax M2.7 Turbo, Kimi K2.6, or Kimi K3 routes, whose retention and training policies remain unverified.
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 Runware
20 models
- Context
- 1.0M
- Input /M
- $0.07/M
- Output /M
- $0.14/M
- Cache read /M
- $0.01/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- 1.8s
- Throughput
- 68.1 tps
- Context
- 1.0M
- Input /M
- $0.91/M
- Output /M
- $1.82/M
- Cache read /M
- $0.07/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 1.0M
- Input /M
- $0.91/M
- Output /M
- $1.82/M
- Cache read /M
- $0.07/M
- Cache write /M
- N/A
- Cache hit
- 42.7%
- TTFT
- 7.6s
- Throughput
- 70.4 tps
- Context
- 1.0M
- Input /M
- $0.14/M
- Output /M
- $0.57/M
- Cache read /M
- $0.0095/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 1.0M
- Input /M
- $0.14/M
- Output /M
- $0.57/M
- Cache read /M
- $0.0095/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 262k
- Input /M
- $0.10/M
- Output /M
- $0.28/M
- Cache read /M
- $0.01/M
- Cache write /M
- N/A
- Cache hit
- 76.1%
- TTFT
- 2.3s
- Throughput
- 77.5 tps
- Context
- 262k
- Input /M
- $0.10/M
- Output /M
- $0.28/M
- Cache read /M
- $0.01/M
- Cache write /M
- N/A
- Cache hit
- 9.6%
- TTFT
- 3.8s
- Throughput
- 35.3 tps
- Context
- 1.0M
- Input /M
- $0.76/M
- Output /M
- $2.41/M
- Cache read /M
- $0.15/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 1.0M
- Input /M
- $0.76/M
- Output /M
- $2.41/M
- Cache read /M
- $0.15/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 1.0M
- Input /M
- $1.13/M
- Output /M
- $3.78/M
- Cache read /M
- $0.19/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- 4.1s
- Throughput
- 238.3 tps
- Context
- 1.0M
- Input /M
- $1.13/M
- Output /M
- $3.78/M
- Cache read /M
- $0.19/M
- Cache write /M
- N/A
- Cache hit
- 99.7%
- TTFT
- 7.8s
- Throughput
- 321.6 tps
- Context
- 1M
- Input /M
- $0.14/M
- Output /M
- $0.47/M
- Cache read /M
- $0.03/M
- Cache write /M
- N/A
- Cache hit
- 0%
- TTFT
- 5.3s
- Throughput
- 135.5 tps
- Context
- 128k
- Input /M
- $0.03/M
- Output /M
- $0.13/M
- Cache read /M
- $0.03/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 262k
- Input /M
- $0.57/M
- Output /M
- $2.88/M
- Cache read /M
- $0.12/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 262k
- Input /M
- $0.57/M
- Output /M
- $2.88/M
- Cache read /M
- $0.12/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 1.0M
- Input /M
- $3.15/M
- Output /M
- $15.75/M
- Cache read /M
- $0.31/M
- Cache write /M
- N/A
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 205k
- Input /M
- $0.28/M
- Output /M
- $1.13/M
- Cache read /M
- $0.06/M
- Cache write /M
- $0.35/M
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 205k
- Input /M
- $0.57/M
- Output /M
- $2.27/M
- Cache read /M
- $0.06/M
- Cache write /M
- $0.35/M
- Cache hit
- N/A
- TTFT
- N/A
- Throughput
- N/A
- Context
- 1M
- Input /M
- $0.28/M
- Output /M
- $1.13/M
- Cache read /M
- $0.06/M
- Cache write /M
- N/A
- 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 Runware via the API
Call a model served by Runware 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-flash:runware",
"messages": [{"role": "user", "content": "Hello"}]
}'For models with provider selection, append :runware to the model ID, set "provider": "runware" in the request body, or send an X-Provider: runware 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.