per 1M tokens
google/gemma-3-4b-it
deepinfra/google/gemma-3-4b-it
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities, including structured outputs and function calling. Gemma 3-12B is Google's latest open source model, successor to Gemma 2
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.
$0.15 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.05/1M | $0.1/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.05 | $0.1 | Not published— |
| 2026-10-09 | token | $0.05 | $0.1 | Not published— |
| 2026-10-10 | token | $0.05 | $0.1 | Not published— |
| 2026-10-11 | token | $0.05 | $0.1 | Not published— |
| 2026-10-12 | token | $0.05 | $0.1 | Not published— |
| 2026-10-13 | token | $0.05 | $0.1 | Not published— |
| 2026-10-14 | token | $0.05 | $0.1 | Not published— |
| 2026-10-15 | token | $0.05 | $0.1 | Not published— |
| 2026-10-16 | token | $0.05 | $0.1 | Not published— |
| 2026-10-17 | token | $0.05 | $0.1 | Not published— |
| 2026-10-18 | token | $0.05 | $0.1 | Not published— |
| 2026-10-19 | token | $0.05 | $0.1 | Not published— |
| 2026-10-20 | token | $0.05 | $0.1 | Not published— |
| 2026-10-21 | token | $0.05 | $0.1 | Not published— |
| 2026-10-22 | token | $0.05 | $0.1 | Not published— |
| 2026-10-23 | token | $0.05 | $0.1 | Not published— |
| 2026-10-24 | token | $0.05 | $0.1 | Not published— |
| 2026-10-25 | token | $0.05 | $0.1 | Not published— |
| 2026-10-26 | token | $0.05 | $0.1 | Not published— |
| 2026-10-27 | token | $0.05 | $0.1 | Not published— |
| 2026-10-28 | token | $0.05 | $0.1 | Not published— |
| 2026-10-29 | token | $0.05 | $0.1 | Not published— |
| 2026-10-30 | token | $0.05 | $0.1 | Not published— |
Alternatives
- Anthropic: Claude Haiku 5.5 (batch)$0.05/1M · Compare
- DeepSeek: DeepSeek V4.1 Flash (batch)$0.05/1M · Compare
- e2ee-qwen-2-5-7b-p$0.05/1M · Compare
- Gemma 3 12B$0.05/1M · Compare
- gemma-3-4b-it$0.05/1M · Compare
- google/gemma-3-12b-it$0.05/1M · Compare
Parameters (3)
chatvlmvision
Call this model
OpenRouter id deepinfra/google/gemma-3-4b-it. 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/google/gemma-3-4b-it","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/google/gemma-3-4b-it",
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/google/gemma-3-4b-it", "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())