Qwen2.5 Max

Qwen2.5 Max

Alibaba · Released Jan 28, 2025
Intelligence #441 / 743
30.2 our score
Speed #263 / 327
48.3 tok/s
Input Price #610 / 748
$1.60 per 1M tokens
Output Price #617 / 748
$6.40 per 1M tokens
Context
Not reported

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.

#441 of 743 overall Down 22 this week

Benchmark scores

GPQA Diamond 58.7%
HLE 4.5%
MMLU Pro 76.2%
MATH 500 83.5%
AIME 23.3%
SciCode 33.7%
LiveCodeBench 35.9%

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.

Position in the field
Intelligence: smarter than 41% of models #441
Speed: faster than 20% of models #263
Price: cheaper than 18% of models #610
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Qwen2.5 Max $1.60 in $6.40 out
Claude Opus 5 $5.00 in $25.00 out
OpenAI: GPT-5.6 Sol $2.00 in $10.00 out
SpaceXAI: Grok 4.6 $2.00 in $6.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence2.4Technical0Value6Content4.5
Performance profile

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?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Qwen2.5 Max

Full calculator with 748 models → Price Calculator

DFO AI AUTOMATION

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%.

Talk to our team

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.

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