Last verified: August 4, 2026. Qwen2.5-Max was a proprietary, hosted large-scale Mixture-of-Experts model announced by the Qwen team on January 28, 2025. It was not a downloadable Qwen2.5 checkpoint, and its launch API snapshot should not be used as a current production model ID.
For a new highest-capability deployment, the current QwenCloud selector points to qwen3.8-max. This page preserves the Qwen2.5-Max URL as a sourced historical and migration reference, rather than presenting the 2025 model as current.
Verified Qwen2.5-Max facts
| Claim | What the primary source supports |
|---|---|
| Architecture | Large-scale Mixture-of-Experts |
| Pretraining data | More than 20 trillion tokens, reported by Qwen |
| Post-training | Supervised fine-tuning and reinforcement learning from human feedback, reported by Qwen |
| Total parameter count | Not disclosed in the official launch post |
| Downloadable weights | Not released; it was a hosted product |
| Launch API snapshot | qwen-max-2025-01-25, now historical/deprecated |
The official Qwen2.5-Max launch post does not disclose an exact total parameter count. The widely repeated “325B” figure is therefore not presented here as fact. Qwen also did not publish model weights, a local deployment recipe, or a public hardware specification for Qwen2.5-Max.
API status in 2026
At launch, Alibaba Cloud exposed the dated model ID qwen-max-2025-01-25. Current Alibaba documentation uses that exact string as an example of a deprecated historical snapshot, and it is absent from the current supported-model list. Do not publish it as a callable production ID.
A rolling alias such as qwen-max-latest should not be described as Qwen2.5-Max: rolling aliases can move to newer generations. The broader qwen-max name also identifies a changing hosted line, not a permanently pinned Qwen2.5-Max checkpoint.
| ID | How to treat it now |
|---|---|
qwen-max-2025-01-25 |
Historical Qwen2.5-Max launch snapshot; current docs use it as a deprecated example |
qwen-max / rolling Max aliases |
Moving hosted family; verify the backing generation and limits in the console |
qwen3.8-max |
Current highest-capability starting point for a new QwenCloud evaluation; verify route and region |
What Qwen2.5-Max was not
- It was not the same model as
Qwen2.5-72B-Instructor any smaller open Qwen2.5 checkpoint. - It was not released for local use through Hugging Face.
- Its provider-side tools in Qwen Chat did not prove that the raw model API natively included web search, image generation, or every chat-product feature.
- The launch post did not establish a current 32K input or 8K output limit for use in 2026.
- The official source did not disclose a knowledge cutoff, per-expert architecture, universal latency, or hidden chain-of-thought behavior.
How to read the launch benchmarks
Qwen’s launch article compared Qwen2.5-Max with several leading models on knowledge, coding, instruction-following, preference, and reasoning benchmarks. Those are developer-reported January 2025 results. We did not reproduce them, and they are not a current leaderboard or a production guarantee.
A useful application evaluation needs your own prompts and a written scoring rule. Separate factual accuracy, instruction following, tool-call correctness, JSON validity, refusal behavior, latency, and cost. One attractive answer is not enough to rank a model.
Migrating from Qwen2.5-Max
For a new managed highest-capability deployment, evaluate qwen3.8-max. Obtain the region-specific base URL and exact model ID from the provider console. Separately, the formal lifecycle replacement for the retiring Qwen3 Max service IDs remains qwen3.7-max; see the Qwen3 Max migration guide. Do not silently replace a model string in production: generations can differ in reasoning defaults, tool calls, structured output, refusals, token use, latency, and pricing.
- Inventory the exact historical ID, provider region, prompts, and response parser.
- Create a permission-cleared acceptance set that includes factual, numerical, long-context, tool, and malformed-input cases.
- Keep temperature, output cap, provider, and region constant during the first comparison.
- Verify numerical answers independently; for example, decimal comparison should treat 9.8 as greater than 9.11.
- Parse and validate structured output rather than trusting appearance.
- Use repeated requests before reporting latency or cost, and record failures as well as successes.
- Pin a dated current snapshot if reproducibility is required.
Verification status and test limits
We checked the original Qwen launch post, Alibaba Cloud’s current model catalog, text-model guide, and error documentation on August 4, 2026. A previously recorded logged-in Model Studio session showed the current catalog but blocked inference with BASIC_INFO_UNCOMPLETED. The available Fireworks account showed no credit and was not used to claim compatibility with this Alibaba historical ID. We therefore report no live Qwen2.5-Max output or benchmark.
This follows our rule that an unavailable historical model must not be replaced with an unlabeled result from a different model. Before using the current Max family, run a small paid request in an eligible workspace and record the provider, region, exact model ID, date, settings, status, request ID, usage, and final answer.
Qwen2.5-Max versus open Qwen2.5 models
If you need downloadable weights, Qwen2.5-Max is the wrong target. Use our Qwen2.5 model guide to compare the actual open checkpoints, and the download guide for local deployment. For current hosted families, start from the Qwen models directory rather than relying on a 2025 alias.
Official sources
Current new-deployment positioning was checked against the QwenCloud model selector and official release log.
- Qwen team: Qwen2.5-Max launch
- Alibaba Cloud Model Studio error guide and historical-snapshot example
- Alibaba Cloud current text-generation models
- Alibaba Cloud current model catalog
Is Qwen2.5-Max open source?
No. Qwen2.5-Max was a proprietary hosted model. Qwen did not release its weights or a local deployment package.
Did Qwen2.5-Max have 325 billion parameters?
The official launch post did not disclose an exact total parameter count. We therefore do not present 325B as a verified fact.
Can I still call qwen-max-2025-01-25?
Do not plan a new deployment around it. Current Alibaba documentation uses that historical snapshot as a deprecated-model example, and it is absent from the current supported-model list.