Qwen2.5 72B is a large language model in the Qwen series. Compared to Qwen2, it has significantly more knowledge and greatly improved coding and mathematics, thanks to specialized expert models in these domains. It also improves instruction following, generating long texts (over 8K tokens), understanding structured data such as tables, and generating structured outputs, especially JSON, and is more resilient to diverse system prompts, which helps role-play and condition-setting for chatbots. It supports long context up to 128K tokens, can generate up to 8K tokens, and supports over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Arabic.
$0.18market price $0.36
$0.20market price $0.40
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough throughput data
Not enough TTFT data
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Qwen2.5 72B is a large language model in the Qwen series. Compared to Qwen2, it has significantly more knowledge and greatly improved coding and mathematics, thanks to specialized expert models in these domains.
On NagaAI, Qwen 2.5 72B Instruct costs $0.18 per 1M input tokens and $0.20 per 1M output tokens. You pay only for what you use, with no subscription.
Qwen 2.5 72B Instruct reads up to 32.8k tokens in one request, counting the prompt and the answer together.
Yes. Qwen 2.5 72B Instruct can call your functions as tools and can answer in a JSON schema you give it.
It takes text as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
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