per 1M tokens
Ling 3.0 Flash Sante
novita/inclusionai/ling-3.0-flash-sante
Ling-3.0-Flash-Sante is a Mixture-of-Experts (MoE) model with enhanced capabilities across health and medicine. Built on Ling-3.0-Flash, it has 124 billion total parameters and activates approximately 5.1 billion parameters per token. The model excels in medical knowledge reasoning, clinical safety, evidence-based retrieval, and long-horizon medical tasks, while retaining strong general capabilities in reasoning, coding, and agentic tasks.
Price
per 1M tokens
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| Novita | — | — | $0.075/1M | $0.22/1M | 262K | — | Listed | novita |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$0.30 at list price for this workload
Cache
per 1M tokens
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.075/1M | $0.22/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.075 | $0.22 | Not published— |
| 2026-10-09 | token | $0.075 | $0.22 | Not published— |
| 2026-10-10 | token | $0.075 | $0.22 | Not published— |
| 2026-10-11 | token | $0.075 | $0.22 | Not published— |
| 2026-10-12 | token | $0.075 | $0.22 | Not published— |
| 2026-10-13 | token | $0.075 | $0.22 | Not published— |
| 2026-10-14 | token | $0.075 | $0.22 | Not published— |
| 2026-10-15 | token | $0.075 | $0.22 | Not published— |
| 2026-10-16 | token | $0.075 | $0.22 | Not published— |
| 2026-10-17 | token | $0.075 | $0.22 | Not published— |
| 2026-10-18 | token | $0.075 | $0.22 | Not published— |
| 2026-10-19 | token | $0.075 | $0.22 | Not published— |
| 2026-10-20 | token | $0.075 | $0.22 | Not published— |
| 2026-10-21 | token | $0.075 | $0.22 | Not published— |
| 2026-10-22 | token | $0.075 | $0.22 | Not published— |
| 2026-10-23 | token | $0.075 | $0.22 | Not published— |
| 2026-10-24 | token | $0.075 | $0.22 | Not published— |
| 2026-10-25 | token | $0.075 | $0.22 | Not published— |
| 2026-10-26 | token | $0.075 | $0.22 | Not published— |
| 2026-10-27 | token | $0.075 | $0.22 | Not published— |
| 2026-10-28 | token | $0.075 | $0.22 | Not published— |
| 2026-10-29 | token | $0.075 | $0.22 | Not published— |
| 2026-10-30 | token | $0.075 | $0.22 | Not published— |
Alternatives
- ByteDance Seed: Seed 1.6 Flash$0.075/1M · Compare
- Doubao Seed 1.6 Flash$0.075/1M · Compare
- inclusionAI: Ling 3.1 Flash$0.075/1M · Compare
- Ling 3.0 Flash Fin$0.075/1M · Compare
- Ling 3.0 Flash VL$0.075/1M · Compare
- Mistral: Mistral Small 3.2 24B$0.075/1M · Compare
Call this model
OpenRouter id novita/inclusionai/ling-3.0-flash-sante. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"novita/inclusionai/ling-3.0-flash-sante","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "novita/inclusionai/ling-3.0-flash-sante",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "novita/inclusionai/ling-3.0-flash-sante", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())