Analysis Summary
Qwen2.5 Max is an Alibaba model with broad reasoning capability and measurable performance across knowledge, mathematics, and coding tasks. Its benchmark profile indicates useful general competence, although it sits well below current frontier models in the wider field.
The model can support drafting, summarisation, classification, and straightforward code assistance. It is a workable option for content pipelines where cost matters more than advanced reasoning, but the provided data does not confirm tool use, function calling, vision, or a large context window.
Pricing is moderate rather than exceptional, so adoption makes most sense for lower-risk editorial workloads that need more capability than a small model can provide.
Assessed August 9, 2026
Editorial notes
Qwen2.5 Max offers capable general reasoning and usable coding performance at moderate pricing, but its older benchmark profile and limited workflow data make it better suited to routine content than demanding client automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen2.5 Max offers capable general reasoning and usable coding performance at moderate pricing, but its older benchmark profile and limited workflow data make it better suited to routine content than demanding client automation.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
10.1 Intelligence Index
How Qwen2.5 Max compares
Qwen2.5 Max ranks #277 of 433 AI models we track for overall intelligence. At $1.60 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.60 | $0.001600 |
| Output | $6.40 | $0.006400 |
What would Qwen2.5 Max cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen2.5 Max for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Qwen2.5 Max
How much does Qwen2.5 Max cost?
Qwen2.5 Max costs $1.60 per million input tokens and $6.40 per million output tokens.
Who created Qwen2.5 Max?
Qwen2.5 Max is developed by Alibaba and was released on January 28, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 3, 2026 8:38 pm