Qwen 2.5 Max
Strong multilingual and coding performance with broad ecosystem support.
Try Qwen 2.5 Max
Prototype a request in the browser, then ship it with one base-URL change.
This is a UI preview. Create a free key →
Pricing details
Per-spec rates for Qwen 2.5 Max — every tier up to 20% below official.
| Spec | Our price | Official | Save |
|---|---|---|---|
| Input · per 1M tokens | $0.4800 | $0.6000 | 20% ↓ |
| Cached input · per 1M | $0.1600 | $0.2000 | 20% ↓ |
| Output · per 1M tokens | $1.60 | $2.00 | 20% ↓ |
Core capabilities
Why teams call Qwen 2.5 Max through Apifuse.
OpenAI-compatible
Call Qwen 2.5 Max with the exact request and response schema you already use.
Transparent pricing
$1.60/1M per 1M tokens — about 20% below the $2.00/1M official rate.
Multi-provider routing
Low latency with automatic failover across redundant upstreams.
Fast integration
One base-URL change, no SDK rewrite, working in minutes.
Volume discounts
Tiered savings apply automatically as your usage grows.
Human support
Engineers on chat when an integration or invoice needs attention.
Start using Qwen 2.5 Max in minutes
Three steps, no migration headaches.
What developers say
Teams shipping with Qwen 2.5 Max on Apifuse.
“Switched my base URL and the bill dropped instantly. Same outputs, a fraction of the cost.”
“One key, one invoice across every model we use. Procurement finally stopped complaining.”
“Routing has been rock solid under load — latency is consistently lower than going direct.”
“Dropped it into our toolchain in an afternoon. The OpenAI-compatible schema just works.”
Qwen 2.5 Max FAQ
Common questions before you integrate.
What is Qwen 2.5 Max and what can it do? +
How much does Qwen 2.5 Max cost on Apifuse? +
How do I call Qwen 2.5 Max? +
Is there an SLA for Qwen 2.5 Max? +
Related models
More llm models on Apifuse.
GPT-5
Frontier reasoning and coding model with long context and strong tool use.
Claude Sonnet 4.5
Balanced flagship for agents and coding — fast, steerable, and reliable.
Gemini 2.5 Pro
Multimodal reasoning with a very large context window and native tool calling.
Grok-4
Real-time-aware model with strong reasoning and a playful, direct voice.