Qwen3.6-Max-Preview
Qwen3.6-Max-Preview is a large-scale foundation model developed by Alibaba. With an extremely high computational capacity of approximately 10 trillion parameters, it is a chat-focused model supporting a maximum context window of 262K tokens.
Parameters
10000.0B
Context Window
262K
License
Proprietary
Release Date
2026-04-20
API Pricing
Input Price (per 1M tokens)
$1.3
Output Price (per 1M tokens)
$
Billing Mode: standard
Strengths
- ・Massive 10-trillion scale parameter count
- ・Extensive 262K context window
- ・Advanced conversational AI capabilities
Weaknesses
- ・Proprietary model weights are not public
- ・Restrictive closed-source licensing
- ・Lack of detailed benchmark results
Use Cases
- ・Analysis of ultra-long documents
- ・Building complex conversational AI services
- ・Advanced processing of large-scale data
Deep Analysis
Artificial Analysis Intelligence Index
52
#2 overall out of 201 models as of April 2026
SWE-Bench Pro
57.3%
Top score on this benchmark, per Alibaba claims
Terminal-Bench 2.0
65.4%
Ties with Claude Opus 4.6
Input Price
$6/1M tokens
Standard pricing via Alibaba Cloud; free during preview period
Context Window
262K tokens
Large, but below 1M of some competitors like Qwen3.6-Plus
Total Parameters
>1 trillion
MoE architecture; active parameters not disclosed
Strengths
- ・Exceptional agentic coding performance, topping six major benchmarks including SWE-bench Pro and Terminal-Bench 2.0.
- ・Competitive pricing relative to Western frontier models, with significant cost savings.
- ・Advanced features like preserve_thinking for reliable multi-step agent workflows and improved instruction following.
Weaknesses
- ・Closed weights and API-only access, preventing self-hosting and limiting transparency.
- ・Preview model with no production SLA, subject to changes in behavior and pricing.
- ・Text-only modality at launch, lacking image input support compared to some competitors.
Competitor Comparison
| Model | Arena | SWE | GPQA | Price |
|---|---|---|---|---|
| GPT-5.4 | 89 (BenchLM composite) | 57.7% (SWE-Bench Pro) | N/A | $2.50/$14.00 |
| Claude Opus 4.6 | N/A | 80.8% (SWE-Bench Verified) | ~90% | $15.00/$75.00 |
| Kimi K2.6 | N/A | 80.2% (SWE-Bench Verified) | N/A | $0.60/$3.00 |
Sources
- Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving - Alibaba Cloud Community
- Alibaba's Qwen3.6-Max-Preview Challenges GPT-5.4 on Agentic Coding | TechSifted
- Qwen3.6-Max-Preview Benchmark Results, Specs & Pricing | DataLearnerAI
- Qwen3.6-Max-Preview: 1M Context & Top SWE-Bench Scores | Automatio
- Qwen3.6-Max-Preview: What Alibaba's Latest Model Means for Open-Weight Competitors | Groundy
- Qwen3.6-Max-Preview Review: #1 AI Model for Coding? Full Benchmarks & Comparison - PrimeAIcenter
- Qwen 3.6 Review 2026: Plus vs Max Preview — Benchmarks, Pricing & Who Wins – NivaaLabs
- Qwen3.6-Max-Preview vs Plus vs Kimi K2.6: Model Comparison | Lushbinary
- Qwen3.6-Max-Preview and Kimi K2.6 landed nearly back-to-back — lining up both flagship coding models | lilting channel
- 阿里Qwen系列新一代旗舰模型3.6-Max预览版发布:智能体编程能力优化_腾讯新闻
Analysis generated: 2026-05-23