Alibaba (Qwen), proprietary
Qwen3.6 Max Preview
Qwen3.6 Max Preview by Alibaba (Qwen) ranks 43rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 51.5. Its strongest category is knowledge, where it ranks 39th. API pricing starts at $1.30 per million input tokens and $7.80 per million output tokens, with a 262K-token context window.
Last verified
Specifications
- Noometry rank
- #43 of 354
- Index score
- 51.5
- Evidence
- Confirmed 29 results
- Provider
Alibaba (Qwen)
- Released
- April 20, 2026
- Weights
- Proprietary
- Reasoning
- Yes
- Context window
- 262K
- Max output
- 66K
- Input price
- $1.30 / M
- Output price
- $7.80 / M
- Blended price
- $2.92 / M
- Output speed
- Not measured
- Value
- #158 of 219
- Knowledge cutoff
- April 2025
- Input
- text
Category scores
Each category score combines every public result we have in that category.
- Coding 48.7
- Reasoning 41.7
- Math 54.1
- Knowledge 57.6
- Multilingual 54.2
- Instruction Following 75.7
- Long Context 44.6
- Writing & Preference 63.8
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 48.7 | #54 | 3 |
| Reasoning | 41.7 | #53 | 7 |
| Math | 54.1 | #46 | 2 |
| Knowledge | 57.6 | #39 | 3 |
| Multilingual | 54.2 | #48 | 1 |
| Instruction Following | 75.7 | #55 | 1 |
| Long Context | 44.6 | #61 | 1 |
| Writing & Preference | 63.8 | #60 | 3 |
Strengths and weaknesses
Categories where Qwen3.6 Max Preview places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Long Context | 44.6 | +3.7 | #61 of 296, top 21% |
| Writing & Preference | 63.8 | +10.0 | #60 of 312, top 20% |
| Instruction Following | 75.7 | +4.4 | #55 of 305, top 19% |
Closest competitors
The models ranked just above and below Qwen3.6 Max Preview. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| GPT-5.2 Pro | #39 | 52.3 | $57.75 | — | Compare |
| Gemini 3 Flash Preview | #40 | 52.3 | $1.13 | — | Compare |
| GLM-5.3-Flash | #41 | 51.8 | $0.24 | — | Compare |
| Qwen3.7 Max | #42 | 51.5 | $3.75 | — | Compare |
| GLM-5.2 | #44 | 51.1 | $2.15 | 23 | Compare |
| GPT-5 | #45 | 50.9 | $3.44 | 2 | Compare |
| Muse Spark | #46 | 50.6 | — | — | Compare |
| Claude Opus 4.5 | #47 | 50.5 | $10 | 13 | Compare |
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Benchmark results
Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.
Coding
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| SWE-bench Verified | 76.7% | #11 of 32, top 35% | Epoch AI | 2026-05-28 | |
| LMArena WebDev | 1482 | #50 of 113, top 45% | LMArena | 2026-10-08 | |
| LMArena Coding | 1471 | #56 of 294, top 20% | LMArena | 2026-10-08 |
Agentic & Tool Use
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| Vending-Bench 2 | 4,254 | #34 of 60, top 57% | Epoch AI |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| SimpleBench | 63% | #16 of 77, top 21% | Epoch AI | ||
| NYT Connections (extended) | 74.1% | #47 of 91, top 52% | Lech Mazur benchmarks | ||
| Chess Puzzles | 20% | #61 of 129, top 48% | Epoch AI | 2026-08-07 | |
| LMArena Hard Prompts | 1457 | #53 of 297, top 18% | LMArena | 2026-10-08 | |
| Mystery Game Puzzles | 19% | #46 of 74, top 63% | none | Epoch AI | 2026-08-27 |
| DTBench | 87.2% | #52 of 151, top 35% | Epoch AI | ||
| LMCA | 42.5% | #41 of 125, top 33% | Epoch AI | ||
| Epoch Capabilities Index | 149.24 | #58 of 213, top 28% | Epoch AI | 2026-04-20 |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.1% | #51 of 173, top 30% | Epoch AI | 2026-08-07 | |
| LMArena Math | 1465 | #47 of 285, top 17% | LMArena | 2026-10-08 | |
| FrontierMath (Feb 2025 set) | 23.1% | #26 of 68, top 39% | Epoch AI | 2026-05-27 | |
| FrontierMath Tier 4 (v1) | 4.2% | #35 of 55, top 64% | Epoch AI | 2026-05-28 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 87.4% | #55 of 186, top 30% | Epoch AI | 2026-08-07 | |
| SimpleQA Verified | 52% | #22 of 77, top 29% | Epoch AI | 2026-08-27 | |
| LMArena Expert | 1478 | #45 of 273, top 17% | LMArena | 2026-10-08 |
Multilingual
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Non-English | 1437 | #48 of 297, top 17% | LMArena | 2026-10-08 | |
| LMArena Chinese | 1487 | #59 of 285, top 21% | LMArena | 2026-10-08 | |
| LMArena French | 1449 | #70 of 223, top 32% | LMArena | 2026-10-08 | |
| LMArena Russian | 1445 | #50 of 283, top 18% | LMArena | 2026-10-08 | |
| LMArena Spanish | 1454 | #47 of 226, top 21% | LMArena | 2026-10-08 |
Instruction Following
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Instruction Following | 1438 | #51 of 298, top 18% | LMArena | 2026-10-08 |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Longer Query | 1457 | #43 of 291, top 15% | LMArena | 2026-10-08 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Text | 1447 | #48 of 297, top 17% | LMArena | 2026-10-08 | |
| LMArena Creative Writing | 1435 | #46 of 295, top 16% | LMArena | 2026-10-08 | |
| LMArena Multi-Turn | 1456 | #43 of 295, top 15% | LMArena | 2026-10-08 |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| alibaba | $1.30 | $7.80 | $0.13 | 2026-10-10 |
Compare Qwen3.6 Max Preview
- Qwen3.6 Max Preview vs Qwen3.7 Max
- Qwen3.6 Max Preview vs GLM-5.2
- Qwen3.6 Max Preview vs GLM-5.3-Flash
- Qwen3.6 Max Preview vs GPT-5
- Qwen3.6 Max Preview vs Gemini 3 Flash Preview
- Qwen3.6 Max Preview vs Muse Spark
- Qwen3.6 Max Preview vs GPT-6 Astra
- Qwen3.6 Max Preview vs Claude Fable 5.1
- Qwen3.6 Max Preview vs Gemini 3.8 Flash
- Qwen3.6 Max Preview vs Kimi K3
- Qwen3.6 Max Preview vs Grok 4.6
- Qwen3.6 Max Preview vs GLM-5.3
- Qwen3.6 Max Preview vs Muse Spark 1.3
- Qwen3.6 Max Preview vs DeepSeek V4 Pro
Other Alibaba (Qwen) models
- Qwen3.8 Max56.8
- Qwen3.7 Max51.5
- Qwen3.6 Plus47.5
- Qwen3.5 397B-A17B46.0
- Qwen3.8 27B46.0
- Qwen3.5 Max Preview45.3
- Qwen3.7 Plus45.3
- Qwen3 Max43.7
Frequently asked questions
How good is Qwen3.6 Max Preview?
Qwen3.6 Max Preview by Alibaba (Qwen) ranks 43rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 51.5. Its strongest category is knowledge, where it ranks 39th. API pricing starts at $1.30 per million input tokens and $7.80 per million output tokens, with a 262K-token context window.
How much does Qwen3.6 Max Preview cost?
Qwen3.6 Max Preview costs $1.30 per million input tokens and $7.80 per million output tokens on Alibaba (Qwen)'s own API, with cached input at $0.13.
What is Qwen3.6 Max Preview's context window?
Qwen3.6 Max Preview accepts up to 262K tokens of input and can write up to 66K tokens in one response.
Is Qwen3.6 Max Preview open source?
No. Qwen3.6 Max Preview is proprietary and available only through Alibaba (Qwen)'s API and partner platforms.
What are Qwen3.6 Max Preview's strengths and weaknesses?
Relative to other ranked models, Qwen3.6 Max Preview places best in knowledge, math, reasoning and lowest in long context, writing & preference, instruction following.
What is Qwen3.6 Max Preview best at?
Its best category is knowledge, where it ranks 39th on Noometry.