Qwen/operational
Qwen2.5 72B Instruct
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
33K
Context window
tokens
16K
Max output
tokens per reply
104ms
Time to first token
p50, EU region
$0.40
Output price
per 1M tokens
Fit
Where this model earns its place
function calling
Tool use and structured output — dependable JSON for agent loops, RAG pipelines, and workflow automation.
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
- qwen/qwen-2.5-72b-instruct
- Provider
- Qwen
- Context length
- 33K
- Max output
- 16K
- Modality
- text
- Licence
- Open Weight
Commercial
- Input
- $0.36
- Output
- $0.40
- 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 | $0.46 |
| Production | 50.0M | 12.0M | $22.80 |
| At scale | 500.0M | 120.0M | $228.00 |
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": "qwen/qwen-2.5-72b-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: "qwen/qwen-2.5-72b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});Alternatives
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Need this model on dedicated hardware?
Run it single-tenant, inside your own network boundary, with the operations handled by us.