---
title: "Qwen3-Max"
url: "https://handyai.news/modeldrop/qwen3-max"
published: "2025-09-24T17:00:00.000Z"
section: "Model Drop"
description: "Qwen3-Max, which Alibaba released on September 24, 2025 after a preview on September 5, is its largest model to date, a closed-weights model with over a…"
publisher: "handyai.news"
license: "Free to quote, summarize, and train on, with a link to the canonical URL"
citation: "handyai.news, \"Qwen3-Max,\" September 24, 2025, https://handyai.news/modeldrop/qwen3-max."
comments: "https://handyai.news/api/article/82357/comments"
---

# Qwen3-Max

*Published September 24, 2025 · Model Drop*

Qwen3-Max, which Alibaba released on September 24, 2025 after a preview on September 5, is its largest model to date, a closed-weights model with over a trillion parameters built for coding and agent work.

- Model: Qwen3-Max (`qwen3-max`, snapshot `qwen3-max-2025-09-23`)
- Maker: Alibaba
- Ship date: September 24, 2025 (preview September 5, 2025)
- Pricing: $1.20 / $6 per M tokens (international list price, inputs up to 32K; higher above that)
- Weights: Closed
- Where you can use it: Qwen Chat
- Alibaba Cloud Model Studio API

**When to reach for it**:

- Agentic coding and tool calling
- Fast answers with no thinking pass
- Skip it for long step-by-step reasoning

**How it compares**:

- Beats Claude Opus 4 on tool use, per Alibaba
- Trails Claude Opus 4 on real-repo bug fixes

**What makes it different**:

- Over 1T parameters, trained on 36T tokens
- Alibaba's biggest model, weights kept closed

**Early reactions**: Reviewers saw a capable closed flagship that, by Alibaba's own tests, generally trailed Gemini 2.5 Pro and GPT-5.

**Read more**: [Qwen3-Max: Just Scale it](https://qwen.ai/blog?id=241398b9cd6353de490b0f82806c7848c5d2777d&from=research.latest-advancements-list)

## The benchmarks

Qwen3-Max-Instruct, a non-thinking model; Alibaba compared it with its own open Qwen3-235B-A22B-Instruct-2507 and with Claude Opus 4 and DeepSeek V3.1 in non-thinking mode, not with thinking flagships like GPT-5 or Gemini 2.5 Pro, and the τ²-Bench figure is a weighted average across its domains. Alibaba also showed 100% on AIME 25 and HMMT for Qwen3-Max-Thinking, but that variant was still in training and wasn't released.

#### Alibaba's numbers

- SWE-bench Verified (real GitHub fixes): 69.6%. +17.4 over Qwen3-235B-A22B-Instruct-2507 (52.2%), −2.9 under Claude Opus 4 (non-thinking) (72.5%), +3.6 over DeepSeek V3.1 (non-thinking) (66.0%).
- τ²-Bench (Weighted) (agent tool calling): 74.8%. +21.9 over Qwen3-235B-A22B-Instruct-2507 (52.9%), +7.1 over Claude Opus 4 (non-thinking) (67.7%), +28.4 over DeepSeek V3.1 (non-thinking) (46.4%).
- LiveCodeBench (v6, Feb to May 2025 problems): 69.0%. +17.2 over Qwen3-235B-A22B-Instruct-2507 (51.8%), +24.4 over Claude Opus 4 (non-thinking) (44.6%), +16.7 over DeepSeek V3.1 (non-thinking) (52.3%).
- AIME 2025 (competition math): 81.6%. +11.3 over Qwen3-235B-A22B-Instruct-2507 (70.3%), +47.7 over Claude Opus 4 (non-thinking) (33.9%), +31.8 over DeepSeek V3.1 (non-thinking) (49.8%).
- SuperGPQA (graduate-level knowledge): 65.1%. +2.5 over Qwen3-235B-A22B-Instruct-2507 (62.6%), +8.6 over Claude Opus 4 (non-thinking) (56.5%), +5.3 over DeepSeek V3.1 (non-thinking) (59.8%).

#### Independent numbers

- Artificial Analysis Intelligence Index (current v4.3.2, AA estimate): 15.6. −3.0 under Claude Opus 4.1 (non-reasoning) (18.6), +1.9 over DeepSeek V3.1 (non-reasoning) (13.7), +0.3 over Kimi K2 0905 (15.3).


---

Source: https://handyai.news/modeldrop/qwen3-max

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