per 1M tokens
Tencent: Hy4 preview
tencent/hy4-preview
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...
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 |
|---|---|---|---|---|---|---|---|---|
| AtlasCloud | — | fp8 | $0.834/1M | $2.501/1M | 1.0M | — | Listed | atlascloud |
| AtlasCloud | atlas-cloud/fp8 | fp8 | $0.834/1M | $2.501/1M | 1.0M | 100% | Live | openrouter-endpoints |
| Cohere | cohere | — | $0.834/1M | $2.501/1M | 262K | 100% | Live | openrouter-endpoints |
| DeepInfra | — | — | $0.834/1M | $2.501/1M | 1.0M | — | Listed | deepinfra |
| DeepInfra | deepinfra/fp4 | fp4 | $0.834/1M | $2.501/1M | 1.0M | 100% | Live | openrouter-endpoints |
| GMICloud | gmicloud/bf16 | bf16 | $0.834/1M | $2.501/1M | 262K | — | Live | openrouter-endpoints |
| Io Net | — | fp8 | $0.834/1M | $2.501/1M | 262K | — | Listed | ionet |
| Novita | — | — | $0.834/1M | $2.501/1M | 1M | — | Listed | novita |
| Novita | novita/fp8 | fp8 | $0.834/1M | $2.501/1M | 1M | 100% | Live | openrouter-endpoints |
| SiliconFlow | siliconflow/fp8 | fp8 | $0.834/1M | $2.501/1M | 1.0M | 100% | Live | openrouter-endpoints |
| Tencent | tencent/fp8 | fp8 | $0.834/1M | $2.501/1M | 1.0M | 100% | Live | openrouter-endpoints |
| Venice | — | — | $1.043/1M | $3.126/1M | 1.0M | — | Listed | venice |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$3.34 at list price for this workload
Cache
per 1M tokens
Tiers
- Tier
- in $0.834 · out $2.501 · cache read $0.042
- Tier
- in $0.7506 · out $2.251 · cache read $0.0378
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.834/1M | $2.501/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-09-15 | token | $0.834 | $2.501 | Not published— |
| 2026-09-16 | token | $0.834 | $2.501 | Not published— |
| 2026-09-17 | token | $0.834 | $2.501 | Not published— |
| 2026-09-18 | token | $0.834 | $2.501 | Not published— |
| 2026-09-19 | token | $0.834 | $2.501 | Not published— |
| 2026-09-20 | token | $0.834 | $2.501 | Not published— |
| 2026-09-21 | token | $0.834 | $2.501 | Not published— |
| 2026-09-22 | token | $0.834 | $2.501 | Not published— |
| 2026-09-23 | token | $0.834 | $2.501 | Not published— |
| 2026-09-24 | token | $0.834 | $2.501 | Not published— |
| 2026-09-25 | token | $0.834 | $2.501 | Not published— |
| 2026-09-26 | token | $0.834 | $2.501 | Not published— |
| 2026-09-27 | token | $0.834 | $2.501 | Not published— |
| 2026-09-28 | token | $0.834 | $2.501 | Not published— |
| 2026-09-29 | token | $0.834 | $2.501 | Not published— |
| 2026-09-30 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-01 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-02 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-03 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-04 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-05 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-06 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-07 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-08 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-09 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-10 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-11 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-12 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-13 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-14 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-15 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-16 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-17 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-18 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-19 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-20 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-21 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-22 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-23 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-24 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-25 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-26 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-27 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-28 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-29 | token | $0.7506 | $2.251 | Not published— |
| 2026-10-30 | token | $0.834 | $2.501 | Not published— |
Alternatives
- Hunyuan 4 Preview$0.834/1M · Compare
- Hy4 Preview$0.834/1M · Compare
- tencent/Hy4-preview$0.834/1M · Compare
- Tencent: Hy4 Preview$0.834/1M · Compare
- Google: Gemini 3.8 Flash$0.825/1M · Compare
- Macaron V1 Venti$0.825/1M · Compare
Parameters (22)
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_completion_tokensmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Call this model
OpenRouter id tencent/hy4-preview. 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":"tencent/hy4-preview","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: "tencent/hy4-preview",
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": "tencent/hy4-preview", "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())