Alibaba Qwen•Rank #14NEW

Qwen4-Max-Preview

Proprietarygeneralreasoningcodingagentmultimodal

Leaderboard Score

61.2

Scale: 0 - 100

Throughput Speed

95 tps

Context Window

API Pricing / 1M

.90

Parameter Scale

MoE Flagship

Monthly API Cost Calculator

Qwen4-Max-Preview rates: $1.2/1M input • $4/1M output. Pick a workload preset or enter your own token volumes.

Monthly input (M tokens)Monthly output (M tokens)

Same workload on published-rate alternatives

Kimi K3.1 Pro (Moonshot AI)

GPT-6 Sol (OpenAI)

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Estimates use listed API rates at time of writing; providers may differ in caching discounts, rate limits, and batching pricing.

Sourced AI Radar & Benchmarks•8 Evaluated Metrics

Capability Radar & Benchmark Scores

Multi-Axis Capability Radar

Comparing Qwen4-Max-Preview against Frontier Top 10 & Open-Source average

0 - 100 Scale

Qwen4-Max-Preview

Frontier Top 10 Avg

Open-Source Avg

Performance Vectors

Where Qwen4-Max-Preview Leads

Coding & SWETop 10: 79.2% • OS: 51.6%

78.4%-0.8% vs Top 10

Reasoning & MathTop 10: 94.6% • OS: 54.3%

93.0%-1.6% vs Top 10

Agent & Tool AutomationTop 10: 80.3% • OS: 37.4%

71.0%-9.3% vs Top 10

Terminal & CLI ExecutionTop 10: 63.5% • OS: 45.8%

52.0%-11.5% vs Top 10

MMLU & Knowledge QATop 10: 50% • OS: 86.7%

76.5%+26.5% vs Top 10

Cyber & Security ExploitsTop 10: 87.3% • OS: 81.2%

58.1%-29.2% vs Top 10

All Verified Benchmark Evaluations

Direct Pass@1 and resolution rates across standardized evaluations.

OverallCodingReasoningAgenticTerminal

Featured Compute Platform

Run Benchmarks on Dedicated AI Clusters

Zero-cold-start inference endpoints with dedicated GPU instances.

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Executive Analysis & Verdict

Qwen4-Max-Preview by Alibaba Qwen is a next-generation flagship multimodal foundation model scoring 61.2 overall, engineered for complex agentic workflows, office productivity, and 1M context reasoning.

Key Strengths & Highlights

•Advanced next-generation MoE architecture with unified text, image, and video comprehension
•High coding accuracy (78.4% SWE-bench Verified) and mathematics proficiency (92.5% Math500)
•1M token context window with native Model Studio enterprise integrations

Limitations & Considerations

•Currently in preview tier on Alibaba Cloud Model Studio

Recommended Workflows

Enterprise document reasoning, complex multimodal coding tasks, and multi-step tool automation

Architectural Overview & Capability Profile

Qwen4-Max-Preview is Alibaba Cloud’s next-generation flagship foundation model, introduced on Model Studio as the preview forerunner to the Qwen4 generation. Engineered to handle intricate reasoning, end-to-end software development, and native omnimodal comprehension across text, high-resolution imagery, and video sequences, Qwen4-Max-Preview achieves an overall RankLLMs rating of 61.2 / 100, placing it in the top 10 global tier.

Deployed on Alibaba Cloud Model Studio with a 1,000,000-token context window, Qwen4-Max-Preview incorporates advanced function calling, structured schema outputs, and multi-file code workspace navigation.

Benchmark Performance Highlights

Software Engineering & Coding:
- SWE-bench Verified: Reaches 78.4%, demonstrating robust resolution of repository bugs and multi-file pull requests.
- Code Arena: Achieves an Elo of 1,890, outperforming Qwen 3.8 Max (1,795).
Mathematical Reasoning & Science:
- Math500: Scores 92.5%, solving complex formal competition mathematics.
- GPQA Diamond: Reaches 93.0%, displaying postgraduate multi-domain problem solving.
Multimodal & Agentic Execution:
- OSWorld: Scores 71.0%, handling desktop application automation and web workflows.
- BrowseComp: Achieves 88.5% on live web extraction tasks.

Availability & Model Studio Pricing

Qwen4-Max-Preview is accessible via Alibaba Cloud Model Studio and international API endpoints:

Input Pricing: $1.20 per 1M tokens.
Output Pricing: $4.00 per 1M tokens (with $0.15 / 1M cached reads).
Throughput: Delivers 95 tokens per second under steady-state inference.

Frequently Asked Questions About Qwen4-Max-Preview

What is Qwen4-Max-Preview and who developed it?↓

Qwen4-Max-Preview is a proprietary large language model developed by Alibaba Qwen. It ranks #14 on the RankLLMs composite leaderboard, ahead of 88% of the 104 models we track, with an overall score of 61.2 / 100.

Can Qwen4-Max-Preview handle very long documents and codebases?↓

Qwen4-Max-Preview supports a 1.0M-token input context window and generates about 95 tps tokens per second in our reference measurements and which is enough to hold entire repositories, long transcripts, or multi-document research sets in a single session..

Why does Qwen4-Max-Preview cost more than most alternatives?↓

Qwen4-Max-Preview sits in the premium tier at .90 per 1M tokens - cheaper than only 67% of priced models we track. That pricing buys frontier-tier benchmark results; the cost-per-solved-task math in our best-coding-LLM guide shows when it pays off.

What is Qwen4-Max-Preview best at?↓

Qwen4-Max-Preview is strongest in Advanced next-generation MoE architecture with unified text, image, and video comprehension; High coding accuracy (78.4% SWE-bench Verified) and mathematics proficiency (92.5% Math500); 1M token context window with native Model Studio enterprise integrations. Full pillar-by-pillar numbers are in the benchmark tables above.

What should you watch out for with Qwen4-Max-Preview?↓

Known trade-offs include: Currently in preview tier on Alibaba Cloud Model Studio. Weigh these against the strengths above for your specific workload.