Qwen 2.5 72B
Qwen 2.5 72B — Alibaba large language model (2024) with a 128K-token context window and an MMLU score of 86.1%, released with open weights.
Key specifications
| MMLU (capability) | 86.1% |
|---|---|
| Context window (K tokens) | 128 |
| Input price ($/1M) | 0 |
| Output price ($/1M) | 0 |
About Qwen 2.5 72B
The Qwen 2.5 72B is a large language model from Alibaba with a 128K-token context window and an MMLU score of 86.1%. It is open weights, so it can be self-hosted. MMLU measures general knowledge and reasoning; real-world quality also depends on coding, tool use, latency and safety.
The comparisons below show how Qwen 2.5 72B stacks up against the alternatives people most often weigh against it, with the specific numbers laid out side by side.
Frequently asked questions
Is the Qwen 2.5 72B any good?
Qwen 2.5 72B — Alibaba large language model (2024) with a 128K-token context window and an MMLU score of 86.1%, released with open weights.
What are the key specs of the Qwen 2.5 72B?
See the specification table above for the full breakdown.