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Tencent: Hy Image 3.5 Preview

tencent/hy-image-v3.5-preview

text imageContext 100K

Hy Image 3.5 Preview is a unified image generation and editing model from Tencent. It handles text-to-image, image-to-image, and multi-turn editing through one endpoint, taking up to 20 reference images...

Price

Input$1.6

per 1M tokens

Compare this model

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.

ProviderTagQuant InputOutput ContextUptimeStatusSource
Tencent tencent — $0/1M $0/1M 100K 100% Live openrouter-endpoints

Monthly bill

Token models use the token counts. Image, video, and audio models use units times the flat rate.

$1.60 at list price for this workload

Tiers

Image output
$1.6 per 1M tokens
Image token
$1.6 per 1M tokens
Every rate
UnitInputOutputFlatConfidence
image_token $1.6/1M Not published— Not published— official

Price history

Tencent: Hy Image 3.5 Preview
1 0 2026-10-06: $02026-10-07: $02026-10-08: $0 2026-10-06 2026-10-08

input or flat output

Tencent: Hy Image 3.5 Preview
2 0 2026-10-08: $1.62026-10-09: $1.62026-10-10: $1.62026-10-11: $1.62026-10-12: $1.62026-10-13: $1.62026-10-14: $1.62026-10-15: $1.62026-10-16: $1.62026-10-17: $1.62026-10-18: $1.62026-10-19: $1.62026-10-20: $1.62026-10-21: $1.62026-10-22: $1.62026-10-23: $1.62026-10-24: $1.62026-10-25: $1.62026-10-26: $1.62026-10-27: $1.62026-10-28: $1.62026-10-29: $1.62026-10-30: $1.6 2026-10-08 2026-10-30

input or flat output

Daily snapshots
UTC dateUnitInputOutputFlat
2026-10-06 token $0 $0 Not published—
2026-10-07 token $0 $0 Not published—
2026-10-08 image_token $1.6 Not published— Not published—
2026-10-08 token $0 $0 Not published—
2026-10-09 image_token $1.6 Not published— Not published—
2026-10-10 image_token $1.6 Not published— Not published—
2026-10-11 image_token $1.6 Not published— Not published—
2026-10-12 image_token $1.6 Not published— Not published—
2026-10-13 image_token $1.6 Not published— Not published—
2026-10-14 image_token $1.6 Not published— Not published—
2026-10-15 image_token $1.6 Not published— Not published—
2026-10-16 image_token $1.6 Not published— Not published—
2026-10-17 image_token $1.6 Not published— Not published—
2026-10-18 image_token $1.6 Not published— Not published—
2026-10-19 image_token $1.6 Not published— Not published—
2026-10-20 image_token $1.6 Not published— Not published—
2026-10-21 image_token $1.6 Not published— Not published—
2026-10-22 image_token $1.6 Not published— Not published—
2026-10-23 image_token $1.6 Not published— Not published—
2026-10-24 image_token $1.6 Not published— Not published—
2026-10-25 image_token $1.6 Not published— Not published—
2026-10-26 image_token $1.6 Not published— Not published—
2026-10-27 image_token $1.6 Not published— Not published—
2026-10-28 image_token $1.6 Not published— Not published—
2026-10-29 image_token $1.6 Not published— Not published—
2026-10-30 image_token $1.6 Not published— Not published—

Alternatives

Call this model

OpenRouter id tencent/hy-image-v3.5-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/hy-image-v3.5-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/hy-image-v3.5-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/hy-image-v3.5-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())

JSON · History JSON