AI model · Qwen
Qwen2.5 72B Instruct available
qwen/qwen-2.5-72b-instruct
Qwen2.5 72B Instruct costs US$ 0.36 per million input tokens and US$ 0.4 per million output tokens (OpenRouter reference price, verified 2026-11-13).
| Input price (per 1M tokens) | US$ 0.36 |
|---|---|
| Output price (per 1M tokens) | US$ 0.4 |
| Typical request (2,000 tokens in, 500 out) | US$ 0.00092 |
| Context window | 32,768 |
| Max output tokens | 16,384 |
| Announced retirement date | none |
| Knowledge cutoff | 2024-06-30 |
| Last verified | 2026-11-13 16:37:47 UTC |
Reference prices from OpenRouter (aggregator); they may differ from the provider's direct pricing.
Frequently asked questions
How much does Qwen2.5 72B Instruct cost?
Qwen2.5 72B Instruct costs US$ 0.36 per million input tokens and US$ 0.4 per million output tokens (OpenRouter reference price, verified 2026-11-13).
What is the context window of Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct accepts up to 32,768 tokens of context.
Is Qwen2.5 72B Instruct being retired?
No retirement date has been announced for Qwen2.5 72B Instruct (checked 2026-11-13).
Other Qwen models
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| qwen/qwen3.8-max-prime | US$ 4.00 | US$ 12.00 | 1,000,000 |
| qwen/qwen3.8-omni-flash | US$ 0.15 | US$ 0.47 | 1,000,000 |
| qwen/qwen3.8-max-0902 | US$ 2.00 | US$ 6.00 | 1,000,000 |
| qwen/qwen3.8-max-0902:batch | US$ 1.15 | US$ 3.45 | 262,144 |
| qwen/qwen3.8-flash | US$ 0.15 | US$ 0.47 | 1,000,000 |
| qwen/qwen3.8-27b | US$ 0.15 | US$ 1.88 | 1,048,575 |
| qwen/qwen3.8-27b:batch | US$ 0.16 | US$ 2.00 | 262,144 |
| qwen/qwen3.8-2.4t-a95b | US$ 2.00 | US$ 6.00 | 1,048,576 |
| qwen/qwen3.7-flash | US$ 0.03 | US$ 0.13 | 1,000,000 |
| qwen/qwen3.7-plus | US$ 0.32 | US$ 1.28 | 1,000,000 |
| qwen/qwen3.7-plus:batch | US$ 0.23 | US$ 0.92 | 262,144 |
| qwen/qwen3.7-max | US$ 1.48 | US$ 4.42 | 1,000,000 |
| qwen/qwen3.5-plus-20260420 | US$ 0.3 | US$ 1.80 | 1,000,000 |
| qwen/qwen3.6-flash | US$ 0.188 | US$ 1.13 | 1,000,000 |
| qwen/qwen3.6-35b-a3b | US$ 0.1 | US$ 0.9 | 262,144 |
| qwen/qwen3.6-27b | US$ 0.32 | US$ 3.20 | 262,144 |
| qwen/qwen3.6-plus | US$ 0.325 | US$ 1.95 | 1,000,000 |
| qwen/qwen3.5-9b | US$ 0.075 | US$ 0.111 | 262,144 |
| qwen/qwen3.5-35b-a3b | US$ 0.14 | US$ 1.00 | 262,144 |
| qwen/qwen3.5-27b | US$ 0.26 | US$ 2.60 | 262,144 |
| qwen/qwen3.5-122b-a10b | US$ 0.26 | US$ 2.08 | 262,144 |
| qwen/qwen3.5-flash-02-23 | US$ 0.065 | US$ 0.26 | 1,000,000 |
| qwen/qwen3.5-plus-02-15 | US$ 0.26 | US$ 1.56 | 1,000,000 |
| qwen/qwen3.5-397b-a17b | US$ 0.6 | US$ 3.60 | 262,144 |
| qwen/qwen3-coder-next | US$ 0.12 | US$ 0.8 | 262,144 |
| qwen/qwen3-vl-8b-instruct | US$ 0.25 | US$ 0.75 | 262,144 |
| qwen/qwen3-vl-30b-a3b-thinking retiring 2026-11-15 | US$ 0.29 | US$ 1.00 | 262,144 |
| qwen/qwen3-vl-30b-a3b-instruct | US$ 0.15 | US$ 0.6 | 262,144 |
| qwen/qwen3-vl-235b-a22b-instruct | US$ 0.21 | US$ 1.90 | 262,144 |
| qwen/qwen3-coder-flash | US$ 0.195 | US$ 0.975 | 1,000,000 |
| qwen/qwen3-next-80b-a3b-instruct | US$ 0.09 | US$ 1.10 | 262,144 |
| qwen/qwen3-coder-30b-a3b-instruct | US$ 0.15 | US$ 0.6 | 262,144 |
| qwen/qwen3-30b-a3b-instruct-2507 | US$ 0.1 | US$ 0.3 | 262,144 |
| qwen/qwen3-235b-a22b-thinking-2507 | US$ 0.45 | US$ 3.50 | 128,000 |
| qwen/qwen3-coder | US$ 0.3 | US$ 1.00 | 262,144 |
| qwen/qwen3-235b-a22b-2507 | US$ 0.14 | US$ 0.8 | 262,144 |
| qwen/qwen3-30b-a3b | US$ 0.12 | US$ 0.5 | 40,960 |
| qwen/qwen3-14b | US$ 0.12 | US$ 0.24 | 40,960 |
| qwen/qwen3-32b | US$ 0.08 | US$ 0.28 | 131,072 |
| qwen/qwen2.5-vl-72b-instruct | US$ 0.8 | US$ 1.00 | 128,000 |
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GET https://vigia.coredls.cloud/v1/models/qwen/qwen-2.5-72b-instruct