per 1M tokens
Google: Gemma 3 4B
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,...
Price
per 1M tokens
Cheaper on Amazon Bedrock (−60%) versus the OpenRouter list price
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 |
|---|---|---|---|---|---|---|---|---|
| Amazon Bedrock | batch | — | $0.02/1M | $0.04/1M | — | — | Listed | amazon-bedrock |
| Amazon Bedrock | flex | — | $0.02/1M | $0.04/1M | — | — | Listed | amazon-bedrock |
| Parasail | parasail/bf16 | bf16 | $0.04/1M | $0.05/1M | 131K | 100% | Live | openrouter-endpoints |
| Amazon Bedrock | standard | — | $0.04/1M | $0.08/1M | — | — | Listed | amazon-bedrock |
| DeepInfra | — | — | $0.05/1M | $0.1/1M | 131K | — | Listed | deepinfra |
| DeepInfra | deepinfra/bf16 | bf16 | $0.05/1M | $0.1/1M | 131K | 100% | Live | openrouter-endpoints |
| Inference.net | — | — | $0.05/1M | $0.1/1M | 131K | — | Listed | inferencenet |
| Amazon Bedrock | priority | — | $0.07/1M | $0.14/1M | — | — | Listed | amazon-bedrock |
| Together | — | — | Not published— | Not published— | 66K | — | Listed | together |
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 |
|---|---|---|---|---|
| 2026-09-15 | token | $0.05 | $0.1 | Not published— |
| 2026-09-16 | token | $0.05 | $0.1 | Not published— |
| 2026-09-17 | token | $0.05 | $0.1 | Not published— |
| 2026-09-18 | token | $0.05 | $0.1 | Not published— |
| 2026-09-19 | token | $0.05 | $0.1 | Not published— |
| 2026-09-20 | token | $0.05 | $0.1 | Not published— |
| 2026-09-21 | token | $0.05 | $0.1 | Not published— |
| 2026-09-22 | token | $0.05 | $0.1 | Not published— |
| 2026-09-23 | token | $0.05 | $0.1 | Not published— |
| 2026-09-24 | token | $0.05 | $0.1 | Not published— |
| 2026-09-25 | token | $0.05 | $0.1 | Not published— |
| 2026-09-26 | token | $0.05 | $0.1 | Not published— |
| 2026-09-27 | token | $0.05 | $0.1 | Not published— |
| 2026-09-28 | token | $0.05 | $0.1 | Not published— |
| 2026-09-29 | token | $0.05 | $0.1 | Not published— |
| 2026-09-30 | token | $0.05 | $0.1 | Not published— |
| 2026-10-01 | token | $0.05 | $0.1 | Not published— |
| 2026-10-02 | token | $0.05 | $0.1 | Not published— |
| 2026-10-03 | token | $0.05 | $0.1 | Not published— |
| 2026-10-04 | token | $0.05 | $0.1 | Not published— |
| 2026-10-05 | token | $0.05 | $0.1 | Not published— |
| 2026-10-06 | token | $0.05 | $0.1 | Not published— |
| 2026-10-07 | token | $0.05 | $0.1 | Not published— |
| 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 | $0.04 | $0.05 | Not published— |
| 2026-10-21 | token | $0.04 | $0.05 | Not published— |
| 2026-10-22 | token | $0.04 | $0.05 | Not published— |
| 2026-10-23 | token | $0.04 | $0.05 | Not published— |
| 2026-10-24 | token | $0.04 | $0.05 | Not published— |
| 2026-10-25 | token | $0.04 | $0.05 | Not published— |
| 2026-10-26 | token | $0.04 | $0.05 | 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 (15)
frequency_penaltylogit_biaslogprobsmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_logprobstop_p
Call this model
OpenRouter id 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":"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: "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": "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())