per 1M tokens
Meta: Llama 4 Maverick
meta-llama/llama-4-maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
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 |
|---|---|---|---|---|---|---|---|---|
| DigitalOcean | digitalocean | — | $0.1875/1M | $0.6525/1M | 128K | 100% | Live | openrouter-endpoints |
| Parasail | parasail/fp8 | fp8 | $0.35/1M | $1/1M | 524K | 100% | Live | openrouter-endpoints |
| google-vertex/us-east5 | — | $0.35/1M | $1.15/1M | 524K | — | Live | openrouter-endpoints |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$0.84 at list price for this workload
Cache
per 1M tokens
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.1875/1M | $0.6525/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-09-15 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-16 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-17 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-18 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-19 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-20 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-21 | token | $0.2 | $0.8 | Not published— |
| 2026-09-22 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-23 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-24 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-25 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-26 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-27 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-28 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-29 | token | $0.1875 | $0.6525 | Not published— |
| 2026-09-30 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-01 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-02 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-03 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-04 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-05 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-06 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-07 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-08 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-09 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-10 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-11 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-12 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-13 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-14 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-15 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-16 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-17 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-18 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-19 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-20 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-21 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-22 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-23 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-24 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-25 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-26 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-27 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-28 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-29 | token | $0.1875 | $0.6525 | Not published— |
| 2026-10-30 | token | $0.1875 | $0.6525 | Not published— |
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Parameters (16)
frequency_penaltylogit_biaslogprobsmax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Call this model
OpenRouter id meta-llama/llama-4-maverick. 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":"meta-llama/llama-4-maverick","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: "meta-llama/llama-4-maverick",
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": "meta-llama/llama-4-maverick", "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())