per 1M tokens
Levanto Sage 1.4
nearai/levanto/sage-1.4
Sage is a decision model: send text and typed questions (yes/no, choice, score) and get calibrated probabilities back instead of generated text. Choice and score distributions sum to 1. Call it through /v1/systemone.
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 |
|---|---|---|---|---|---|---|---|---|
| NEAR AI | — | — | $0.07/1M | $2/1M | 33K | — | Listed | nearai |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$2.07 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.07/1M | $2/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-26 | token | $0.07 | $2 | Not published— |
| 2026-10-27 | token | $0.07 | $2 | Not published— |
| 2026-10-28 | token | $0.07 | $2 | Not published— |
| 2026-10-29 | token | $0.07 | $2 | Not published— |
| 2026-10-30 | token | $0.07 | $2 | Not published— |
Alternatives
- Baichuan M2 32B$0.07/1M · Compare
- GLM 4.7 Flash$0.07/1M · Compare
- GLM 4.7 Flash$0.07/1M · Compare
- google/gemma-4-26B-A4B-it$0.07/1M · Compare
- GPT OSS Safeguard 20B$0.07/1M · Compare
- GPT OSS Safeguard 20B$0.07/1M · Compare
Call this model
OpenRouter id nearai/levanto/sage-1.4. 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":"nearai/levanto/sage-1.4","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: "nearai/levanto/sage-1.4",
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": "nearai/levanto/sage-1.4", "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())