per 1M tokens
Qwen/Qwen3-VL-30B-A3B-Instruct
deepinfra/Qwen/Qwen3-VL-30B-A3B-Instruct
Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date. This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual perception & reasoning, extended context length, enhanced spatial and video dynamics comprehension, and stronger agent interaction capabilities.
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.
No provider prices yet.
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$0.75 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.15/1M | $0.6/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.15 | $0.6 | Not published— |
| 2026-10-09 | token | $0.15 | $0.6 | Not published— |
| 2026-10-10 | token | $0.15 | $0.6 | Not published— |
| 2026-10-11 | token | $0.15 | $0.6 | Not published— |
| 2026-10-12 | token | $0.15 | $0.6 | Not published— |
| 2026-10-13 | token | $0.15 | $0.6 | Not published— |
| 2026-10-14 | token | $0.15 | $0.6 | Not published— |
| 2026-10-15 | token | $0.15 | $0.6 | Not published— |
| 2026-10-16 | token | $0.15 | $0.6 | Not published— |
| 2026-10-17 | token | $0.15 | $0.6 | Not published— |
| 2026-10-18 | token | $0.15 | $0.6 | Not published— |
| 2026-10-19 | token | $0.15 | $0.6 | Not published— |
| 2026-10-20 | token | $0.15 | $0.6 | Not published— |
| 2026-10-21 | token | $0.15 | $0.6 | Not published— |
| 2026-10-22 | token | $0.15 | $0.6 | Not published— |
| 2026-10-23 | token | $0.15 | $0.6 | Not published— |
| 2026-10-24 | token | $0.15 | $0.6 | Not published— |
| 2026-10-25 | token | $0.15 | $0.6 | Not published— |
| 2026-10-26 | token | $0.15 | $0.6 | Not published— |
| 2026-10-27 | token | $0.15 | $0.6 | Not published— |
| 2026-10-28 | token | $0.15 | $0.6 | Not published— |
| 2026-10-29 | token | $0.15 | $0.6 | Not published— |
| 2026-10-30 | token | $0.15 | $0.6 | Not published— |
Alternatives
- @cf/cloudflare/clef-omni$0.15/1M · Compare
- @cf/zai-org/glm-5.3-flash$0.15/1M · Compare
- Cloudflare: Clef Omni$0.15/1M · Compare
- Cohere: Command R (08-2024)$0.15/1M · Compare
- GLM 5.3 Flash$0.15/1M · Compare
- GLM 5.3 Flash$0.15/1M · Compare
Parameters (4)
chatvlmvisionreasoning_effort
Call this model
OpenRouter id deepinfra/Qwen/Qwen3-VL-30B-A3B-Instruct. 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":"deepinfra/Qwen/Qwen3-VL-30B-A3B-Instruct","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: "deepinfra/Qwen/Qwen3-VL-30B-A3B-Instruct",
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": "deepinfra/Qwen/Qwen3-VL-30B-A3B-Instruct", "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())