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We moved our multilingual support bot to the Qwen2.5 72B Instruct API and the 128K context meant we stopped chunking long chat histories overnight.
Qwen2.5 72B Instruct is a dense 72B instruction-tuned LLM from Alibaba Qwen, with a 128K context and strong multilingual, coding, and math skills. Served on RouterBase over an OpenAI-compatible endpoint at $0.38 / 1M input and $0.40 / 1M output, 5% below list.
Input
Qwen2.5 72B Instruct
Hi! I'm a helpful AI assistant. What can I do for you?
Qwen2.5 72B Instruct API - Dense 72B, 128K Context
The Qwen2.5 72B Instruct API runs Qwen2.5 72B Instruct, a dense 72B instruction-tuned LLM with a 128K context, strong at multilingual chat, coding, and math.
The Qwen2.5 72B Instruct API serves Alibaba Qwen2.5 72B Instruct, a dense 72-billion-parameter instruction-tuned large language model. Where a mixture-of-experts design routes each token through a fraction of its weights, this model runs a fully dense network, so every parameter contributes to every token. That gives steady, predictable quality across chat, coding, math, and reasoning, and a 128K token context window means long files, transcripts, and tool traces fit in a single call. You reach the Qwen2.5 72B Instruct API through RouterBase over the OpenAI chat-completions protocol, so the client you already use for other providers works unchanged, and one key covers the whole catalog.
Under the hood, Qwen2.5 72B Instruct was tuned for the work developers actually ship: multilingual assistants across 29+ languages, code generation and review, structured JSON extraction, and multi-step tool use. The Qwen2.5 72B Instruct API answers all of that behind one endpoint and one key. Billing is $0.38 per 1M input tokens and $0.40 per 1M output tokens, which is 5% below the list rate of $0.40 in and $0.42 out, charged per token with no per-request fee. Because the model streams tokens as they generate and returns tool calls in the standard OpenAI schema, you can wire the Qwen2.5 72B Instruct API into an agent loop, an IDE assistant, or a batch pipeline without writing provider-specific glue. The dense architecture keeps latency and quality stable as you scale from a prototype to production traffic.
What the Qwen2.5 72B Instruct API gives you
Deliberate quality on every token.
Dense 72B model
The Qwen2.5 72B Instruct API runs a fully dense 72-billion-parameter network, so quality stays consistent across chat, coding, and reasoning without expert-routing surprises.
128K context
A 128K token window lets the model hold long files, transcripts, and tool traces in a single call, so you rarely have to chunk inputs to the Qwen2.5 72B Instruct API.
Multilingual by design
Trained across 29+ languages, the Qwen2.5 72B Instruct API handles English, Chinese, and dozens more for multilingual chat, translation, and support.
Coding and math
Strong code generation, review, and math reasoning make the Qwen2.5 72B Instruct API a dependable backbone for developer tools and technical assistants.
Tools and JSON
The Qwen2.5 72B Instruct API returns function calls and structured JSON in the standard OpenAI schema, ready for agents and data pipelines.
Streaming, per token
The Qwen2.5 72B Instruct API streams tokens as they generate and bills per token at $0.38 in and $0.40 out, 5% below list, with no request fee.
Get going
First call to the Qwen2.5 72B Instruct API in three steps
Wire it once, then stream.
Create a key
One RouterBase key reaches the Qwen2.5 72B Instruct API and every other model in the catalog, so there is nothing provider-specific to set up.
Point your client
Send any OpenAI client to routerbase.com/v1 with model=qwen/qwen-2.5-72b-instruct and a messages array; the Qwen2.5 72B Instruct API answers on the same chat-completions shape.
Stream and watch usage
The model streams tokens as they generate and returns token usage per response, so cost and latency stay visible on every call to the Qwen2.5 72B Instruct API.
Pay only for what you use
RouterBase passes through partner-tier pricing. Compared against the model's official published API rate.
Pay only for what you use
RouterBase passes through partner-tier pricing. Compared against the model's official published API rate.
| Resolution | RouterBase | Official | Save |
|---|---|---|---|
| Input (per 1M) | $0.380 | −5% | |
| Output (per 1M) | $0.400 | −5% |
One run at the default settings (Input (per 1M)) costs $0.380.With $1 you can run this model approximately 2 times.
Official price = Alibaba Qwen list rate for Qwen2.5 72B Instruct ($0.40 per 1M input, $0.42 per 1M output). RouterBase serves the Qwen2.5 72B Instruct API at $0.38 / $0.40, 5% below list.
Teams building on the Qwen2.5 72B Instruct API
Multilingual chat and coding behind one call.
Dense weights make the output predictable - the Qwen2.5 72B Instruct API gives us the same quality on every ticket, which our evals love.
Function calling in the standard schema meant our agent stack ran on the Qwen2.5 72B Instruct API with zero custom parsing on day one.
At $0.38 in and $0.40 out the Qwen2.5 72B Instruct API kept our per-token cost flat as traffic climbed through the quarter.
Streaming from the Qwen2.5 72B Instruct API is smooth, so our chat UI renders token by token without any extra buffering work.
We push code review and JSON extraction to the Qwen2.5 72B Instruct API and the structured output comes back clean every time.
The 128K window let the Qwen2.5 72B Instruct API read an entire service file plus its tests in one pass, which sped up our reviews.
Switching from another provider to the Qwen2.5 72B Instruct API was one string change - the OpenAI shape did not move at all.
Multilingual coverage is the reason we standardized on the Qwen2.5 72B Instruct API; Portuguese and English answers land equally well.
Qwen2.5 72B Instruct API - common questions
What to know before you route traffic to it.
The Qwen2.5 72B Instruct API is RouterBase hosted access to Alibaba Qwen2.5 72B Instruct, a dense 72B instruction-tuned LLM, over an OpenAI-compatible endpoint.