per 1M tokens
Llama 3.3 70B Instruct
novita/meta-llama/llama-3.3-70b-instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
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.
$0.54 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.135/1M | $0.4/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.135 | $0.4 | Not published— |
| 2026-10-09 | token | $0.135 | $0.4 | Not published— |
| 2026-10-10 | token | $0.135 | $0.4 | Not published— |
| 2026-10-11 | token | $0.135 | $0.4 | Not published— |
| 2026-10-12 | token | $0.135 | $0.4 | Not published— |
| 2026-10-13 | token | $0.135 | $0.4 | Not published— |
| 2026-10-14 | token | $0.135 | $0.4 | Not published— |
| 2026-10-15 | token | $0.135 | $0.4 | Not published— |
| 2026-10-16 | token | $0.135 | $0.4 | Not published— |
| 2026-10-17 | token | $0.135 | $0.4 | Not published— |
| 2026-10-18 | token | $0.135 | $0.4 | Not published— |
| 2026-10-19 | token | $0.135 | $0.4 | Not published— |
| 2026-10-20 | token | $0.135 | $0.4 | Not published— |
| 2026-10-21 | token | $0.135 | $0.4 | Not published— |
| 2026-10-22 | token | $0.135 | $0.4 | Not published— |
| 2026-10-23 | token | $0.135 | $0.4 | Not published— |
| 2026-10-24 | token | $0.135 | $0.4 | Not published— |
| 2026-10-25 | token | $0.135 | $0.4 | Not published— |
| 2026-10-26 | token | $0.135 | $0.4 | Not published— |
| 2026-10-27 | token | $0.135 | $0.4 | Not published— |
| 2026-10-28 | token | $0.135 | $0.4 | Not published— |
| 2026-10-29 | token | $0.135 | $0.4 | Not published— |
| 2026-10-30 | token | $0.135 | $0.4 | Not published— |
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Call this model
OpenRouter id novita/meta-llama/llama-3.3-70b-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":"novita/meta-llama/llama-3.3-70b-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: "novita/meta-llama/llama-3.3-70b-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": "novita/meta-llama/llama-3.3-70b-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())