Alibaba (Qwen), proprietary
Qwen3.5 Plus
Qwen3.5 Plus by Alibaba (Qwen) ranks 106th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.9. Its strongest category is math, where it ranks 61st. API pricing starts at $0.40 per million input tokens and $2.40 per million output tokens, with a 1M-token context window.
Last verified
Specifications
- Noometry rank
- #106 of 354
- Index score
- 42.9
- Evidence
- Confirmed 15 results
- Provider
Alibaba (Qwen)- Released
- February 16, 2026
- Weights
- Proprietary
- Reasoning
- Yes
- Context window
- 1M
- Max output
- 66K
- Input price
- $0.40 / M
- Output price
- $2.40 / M
- Blended price
- $0.90 / M
- Output speed
- Not measured
- Value
- #98 of 219
- Knowledge cutoff
- April 2025
- Input
- text, image, video
Category scores
Each category score combines every public result we have in that category.
- Reasoning 32.8
- Math 49.6
- Knowledge 46.0
- Long Context 43.0
| Category | Score | Rank | Results |
|---|---|---|---|
| Reasoning | 32.8 | #74 | 4 |
| Math | 49.6 | #61 | 1 |
| Knowledge | 46.0 | #83 | 3 |
| Long Context | 43.0 | #113 | 2 |
Strengths and weaknesses
Categories where Qwen3.5 Plus 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 | 43.0 | +2.0 | #113 of 296, top 39% |
| Knowledge | 46.0 | +8.7 | #83 of 314, top 27% |
Closest competitors
The models ranked just above and below Qwen3.5 Plus. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Qwen3-Next 80B-A3B Instruct | #102 | 43.0 | $0.88 | 111 | Compare |
| MiMo-V2-Pro | #103 | 43.0 | $0.54 | — | Compare |
| Amazon Nova Experimental Chat 12 10 | #104 | 42.9 | — | — | Compare |
| o3-pro | #105 | 42.9 | $35 | 1 | Compare |
| Amazon Nova Experimental Chat 26 01 10 | #107 | 42.8 | — | — | Compare |
| DeepSeek-V3.1 | #108 | 42.8 | $0.42 | 328 | Compare |
| GPT-5.3 Chat | #109 | 42.8 | $4.81 | — | Compare |
| GPT-5.5 Instant | #110 | 42.7 | — | — | 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 |
|---|---|---|---|---|---|
| ALE-Bench | 621.92 | #78 of 105, top 75% | Epoch AI |
Agentic & Tool Use
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| Vending-Bench 2 | 0.54 | #56 of 60, top 94% | Epoch AI |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| Chess Puzzles | 22% | #50 of 129, top 39% | Epoch AI | 2026-08-07 | |
| Mystery Game Puzzles | 16% | Epoch AI | 2026-08-05 | ||
| Mystery Game Puzzles | 17% | #52 of 74, top 71% | none | Epoch AI | 2026-08-27 |
| DTBench | 80.5% | #72 of 151, top 48% | Epoch AI | ||
| LMCA | 36.4% | #61 of 125, top 49% | Epoch AI | ||
| Epoch Capabilities Index | 146.78 | #69 of 213, top 33% | Epoch AI | 2026-02-16 |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.7% | #64 of 173, top 37% | Epoch AI | 2026-08-07 | |
| FrontierMath (Feb 2025 set) | 21% | #29 of 68, top 43% | Epoch AI | 2026-05-14 | |
| FrontierMath Tier 4 (v1) | 2.1% | #43 of 55, top 79% | Epoch AI | 2026-05-15 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 84.8% | #65 of 186, top 35% | Epoch AI | 2026-08-07 | |
| SimpleQA Verified | 25.4% | #61 of 77, top 80% | Epoch AI | 2026-08-27 | |
| Vectara Hallucination Rate (lower is better) | 10.7% | #62 of 96, top 65% | Vectara Hallucination Leaderboard |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| CL-bench | 19.8% | #8 of 19, top 43% | Epoch AI | ||
| CL-bench Life | 12.4% | #8 of 13, top 62% | Epoch AI |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| alibaba | $0.40 | $2.40 | — | 2026-10-10 |
| openrouter | $0.30 | $1.80 | — | 2026-10-10 |
Compare Qwen3.5 Plus
- Qwen3.5 Plus vs o3-pro
- Qwen3.5 Plus vs Amazon Nova Experimental Chat 26 01 10
- Qwen3.5 Plus vs Amazon Nova Experimental Chat 12 10
- Qwen3.5 Plus vs DeepSeek-V3.1
- Qwen3.5 Plus vs MiMo-V2-Pro
- Qwen3.5 Plus vs GPT-5.3 Chat
- Qwen3.5 Plus vs GPT-6 Astra
- Qwen3.5 Plus vs Claude Fable 5.1
- Qwen3.5 Plus vs Gemini 3.8 Flash
- Qwen3.5 Plus vs Kimi K3
- Qwen3.5 Plus vs Grok 4.6
- Qwen3.5 Plus vs GLM-5.3
- Qwen3.5 Plus vs Muse Spark 1.3
- Qwen3.5 Plus vs DeepSeek V4 Pro
Other Alibaba (Qwen) models
- Qwen3.8 Max56.8
- Qwen3.7 Max51.5
- Qwen3.6 Max Preview51.5
- Qwen3.6 Plus47.5
- Qwen3.5 397B-A17B46.0
- Qwen3.8 27B46.0
- Qwen3.5 Max Preview45.3
- Qwen3.7 Plus45.3
Frequently asked questions
How good is Qwen3.5 Plus?
Qwen3.5 Plus by Alibaba (Qwen) ranks 106th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.9. Its strongest category is math, where it ranks 61st. API pricing starts at $0.40 per million input tokens and $2.40 per million output tokens, with a 1M-token context window.
How much does Qwen3.5 Plus cost?
Qwen3.5 Plus costs $0.40 per million input tokens and $2.40 per million output tokens on Alibaba (Qwen)'s own API.
What is Qwen3.5 Plus's context window?
Qwen3.5 Plus accepts up to 1M tokens of input and can write up to 66K tokens in one response.
Is Qwen3.5 Plus open source?
No. Qwen3.5 Plus is proprietary and available only through Alibaba (Qwen)'s API and partner platforms.
What are Qwen3.5 Plus's strengths and weaknesses?
Relative to other ranked models, Qwen3.5 Plus places best in math, reasoning and lowest in long context, knowledge.
What is Qwen3.5 Plus best at?
Its best category is math, where it ranks 61st on Noometry.