Alibaba
Qwen2.5 72B
Qwen instruction model for multilingual chat, reasoning, and tool use
Model facts
- Context window
- 131K tokens
- Maximum output
- 8K tokens
- Cheapest paid input
- $0.11 per 1M tokens
- Cheapest paid output
- $0.38 per 1M tokens
- Open weights
- yes
- Providers
- 7
Capabilities and modalities
tool calling, structured output, temperature control, open weights, text.
Local hardware estimate
At 4K context: Q4_K_M 45.5 GiB, Q8_0 79.3 GiB, F16 142.8 GiB working memory.
- Parameters
- 72.7 billion
- Architecture
- qwen2
- Model license
- other
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Artificial Analysis benchmarks
Compare this model on the full LLM benchmark leaderboard.
| Configuration | AAI | Coding | Math | Output tokens/s |
|---|---|---|---|---|
| default | 9.4 | not measured | 14.0 | not measured |
Observed price history
- 2026-08-24: $0.11 input / $0.38 output per 1M tokens
API providers
- Abacus — model id Qwen/Qwen2.5-72B-Instruct; $0.11 input / $0.38 output per 1M tokens; provider documentation
- Kilo Gateway — model id qwen/qwen-2.5-72b-instruct; $0.36 input / $0.4 output per 1M tokens; provider documentation
- OpenRouter — model id qwen/qwen-2.5-72b-instruct; $0.36 input / $0.4 output per 1M tokens; provider documentation
- NanoGPT — model id qwen/qwen-2.5-72b-instruct; $0.357 input / $0.408 output per 1M tokens; provider documentation
- NovitaAI — model id qwen/qwen-2.5-72b-instruct; $0.38 input / $0.4 output per 1M tokens; provider documentation
- Alibaba (China) — model id qwen2-5-72b-instruct; $0.574 input / $1.72 output per 1M tokens; provider documentation
- Alibaba — model id qwen2-5-72b-instruct; $1.4 input / $5.6 output per 1M tokens; provider documentation