Qwen3 Max: pricing, context and performance

What you need to know

Qwen3 Max is a language model from Alibaba Cloud (Qwen), released on September 23, 2025. That makes it more than a year old: successors may have shipped since. It is a closed model: you access it through an API, from Alibaba Cloud (Qwen) or one of the 16 providers listed on models.dev. It has no declared reasoning mode: it answers directly, without an extra billed thinking step.

We file it under mid-range models (34 models in this category on the site).

What do independent benchmarks say?

According to results published by Epoch AI (checked on October 22, 2026), Qwen3 Max has a capability index of 55.4 out of 100, computed on 3 benchmarks from our basket.

With only 3 benchmarks reported, it does not enter the public ranking, which requires at least 4 results, so its index should be read as partial.

• GPQA Diamond (PhD-level science questions): 72.6% — the best tracked model, Gemini 4 Argon, reaches 96.4%
• OTIS Mock AIME (competition mathematics problems): 73.3% — the best tracked model, GPT-5.5 Pro, reaches 100%
• FrontierMath (very hard research-level mathematics): 18.9% — the best tracked model, GPT-6 Astra, reaches 93.7%

What it costs

Qwen3 Max costs $0.86 per million input tokens and $3.43 per million output tokens (median of 16 providers, checked on October 22, 2026).

To put it in perspective: reading 20,000 tokens (about thirty pages) and writing 2,000 costs roughly $0.024; a thousand of those tasks, $24.06.

That is 1.3 times cheaper than the median output price of mid-range models ($4.38).

To estimate your own budget, use the agent cost calculator.

Technical specifications

Its context window reaches 262,144 tokens, roughly 393 pages of text at 500 words per page: enough for a long report or several contracts at once. A single answer can run to 65,536 tokens.

It accepts as input: text. Its knowledge stops at April 2025: beyond that, it needs web search or your documents.

It can call tools (functions, APIs), which makes it a possible foundation for an AI agent.

When to choose it

Given its category, Qwen3 Max is mainly aimed at a balance between quality and cost, for everyday uses that do not justify a frontier model.

Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.

What could replace it?

In the same category, the models closest to Qwen3 Max are:

• Gemini 3.5 Flash Lite (Google DeepMind, index 53.9)
• Gemini 2.5 Pro (Google DeepMind, index 57)
• Claude Sonnet 4.6 (Anthropic, index 67.6)
• GPT-5.4 mini (OpenAI, index 68.4)