per 1M tokens
Pareto 26.9
unbiased/pareto-26.9
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose 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 |
|---|---|---|---|---|---|---|---|---|
| Unbiased | unbiased | — | $2.5/1M | $7.5/1M | 262K | 100% | Live | openrouter-endpoints |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$10.00 at list price for this workload
Cache
per 1M tokens
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $2.5/1M | $7.5/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-14 | token | $2.5 | $7.5 | Not published— |
| 2026-10-15 | token | $2.5 | $7.5 | Not published— |
| 2026-10-16 | token | $2.5 | $7.5 | Not published— |
| 2026-10-17 | token | $2.5 | $7.5 | Not published— |
| 2026-10-18 | token | $2.5 | $7.5 | Not published— |
| 2026-10-19 | token | $2.5 | $7.5 | Not published— |
| 2026-10-20 | token | $2.5 | $7.5 | Not published— |
| 2026-10-21 | token | $2.5 | $7.5 | Not published— |
| 2026-10-22 | token | $2.5 | $7.5 | Not published— |
| 2026-10-23 | token | $2.5 | $7.5 | Not published— |
| 2026-10-24 | token | $2.5 | $7.5 | Not published— |
| 2026-10-25 | token | $2.5 | $7.5 | Not published— |
| 2026-10-26 | token | $2.5 | $7.5 | Not published— |
| 2026-10-27 | token | $2.5 | $7.5 | Not published— |
| 2026-10-28 | token | $2.5 | $7.5 | Not published— |
| 2026-10-29 | token | $2.5 | $7.5 | Not published— |
| 2026-10-30 | token | $2.5 | $7.5 | Not published— |
Alternatives
- Amazon: Nova Premier 1.0$2.5/1M · Compare
- Anthropic: Claude Opus 4.5 (batch)$2.5/1M · Compare
- Anthropic: Claude Opus 4.6 (batch)$2.5/1M · Compare
- Anthropic: Claude Opus 4.7 (batch)$2.5/1M · Compare
- Anthropic: Claude Opus 4.8 (batch)$2.5/1M · Compare
- Anthropic: Claude Opus 5 (batch)$2.5/1M · Compare
Parameters (6)
max_tokensresponse_formattemperaturetool_choicetoolstop_p
Call this model
OpenRouter id unbiased/pareto-26.9. 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":"unbiased/pareto-26.9","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: "unbiased/pareto-26.9",
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": "unbiased/pareto-26.9", "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())