Meta Llama/operational
Meta: Llama 3.2 3B Instruct
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
131K
Context window
tokens
118K
Max output
tokens per reply
91ms
Time to first token
p50, EU region
$0.33
Output price
per 1M tokens
Fit
Where this model earns its place
reasoning
Multi-step reasoning — planning, quantitative analysis, and problems that need deliberation rather than recall.
Data handling
Requests are processed in the EU. Prompts are not used for training, and logs follow the retention period in your contract — zero-retention is available on request.
Specifications
Model
- Model ID
- meta-llama/llama-3.2-3b-instruct
- Provider
- Meta Llama
- Context length
- 131K
- Max output
- 118K
- Modality
- text
- Licence
- Open Weight
Commercial
- Input
- $0.05
- Output
- $0.33
- Cached input
- —
- Deployment
- serverless
- Availability
- operational
- Last updated
- 2026-10-26
Cost
What a month actually costs
| Workload | Input tokens | Output tokens | Monthly cost |
|---|---|---|---|
| Prototype | 1.0M | 250K | $0.13 |
| Production | 50.0M | 12.0M | $6.46 |
| At scale | 500.0M | 120.0M | $64.60 |
Illustrative volumes at list price, excluding cached-input discounts and any committed-use agreement. Your invoice shows the same rates, itemised per key.
Cheaper by caching
API
Same SDK, different base URL
cURL
curl https://api.itciphtech.com/v1/chat/completions \
-H "Authorization: Bearer $CIPHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/llama-3.2-3b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'TypeScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.itciphtech.com/v1",
apiKey: process.env.CIPHER_API_KEY,
});
const res = await client.chat.completions.create({
model: "meta-llama/llama-3.2-3b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});Alternatives
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Need this model on dedicated hardware?
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