qwen3.6-plus: benchmark scores, price and ranking
qwen3.6-plus from Alibaba ranks #506 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.6), based on 7 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Frontier model
- Open weights
- No
- Released
- 2026-04-02 (source: openrouter)
- Cheapest API price
- $0.325 in / $1.95 out per million tokens (via openrouter, observed 2026-10-13T20:47Z)
- Aggregate rank
- #506 of 743 (score 46.6)
Relative to other models, qwen3.6-plus is strongest on LiveBench Coding (#7 of 17) and weakest on LiveBench Reasoning (#14 of 17).
Across the 7 benchmarks where at least ten models are scored, qwen3.6-plus is in the top 10% on 0 and in the top half on 1.
Its cheapest listed input price, $0.325 per million tokens, is lower than that of 58% of the 427 models with a listed price.
qwen3.6-plus benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| LiveBench Coding | 78.2% | #7 of 17 | LiveBench 2026_06_25 official CSV | 2026-10-13 |
| LiveBench Language | 75.0% | #12 of 17 | LiveBench 2026_06_25 official CSV | 2026-10-13 |
| LiveBench Mathematics | 83.7% | #12 of 17 | LiveBench 2026_06_25 official CSV | 2026-10-13 |
| LiveBench Data Analysis | 69.9% | #13 of 17 | LiveBench 2026_06_25 official CSV | 2026-10-13 |
| LiveBench Agentic Coding | 41.4% | #14 of 17 | LiveBench 2026_06_25 official CSV | 2026-10-13 |
| LiveBench IF | 58.3% | #14 of 17 | LiveBench 2026_06_25 official CSV | 2026-10-13 |
| LiveBench Reasoning | 75.8% | #14 of 17 | LiveBench 2026_06_25 official CSV | 2026-10-13 |
About qwen3.6-plus
qwen3.6-plus is a frontier model from Alibaba. It was released on 2026-04-02, according to the date OpenRouter first listed it (approximate). The cheapest API listing we track charges $0.325 per million input tokens and $1.95 per million output tokens, through openrouter. We hold 7 benchmark results for it across 3 areas, and none is in the top tenth of its board.
Where qwen3.6-plus stands
On our aggregate score, qwen3.6-plus is #506 of 743 ranked models, in the lower half. Its score is 46.6; the scale is centred on 50, so it sits 3.4 points below the typical model. That beats 32% of the ranked field. Among the 74 ranked Alibaba models it is #49. The next one up is qwen3-30b-a3b-instruct-2507 at 46.8. The next one down is Qwen2.5-Coder-3B-Instruct at 46.5.
qwen3.6-plus, benchmark by benchmark
LiveBench Coding puts qwen3.6-plus at 78.2%, #7 of 17. That beats 59% of the models tested, but 5.4 points short of GPT-5.2 Codex (83.6%). The results either side are gemini-3.5-flash-high (78.2%) and GPT-5.4 (xhigh) (77.5%). It covers LiveBench release 2026_06_25. The board median is 76.5%, so qwen3.6-plus is 1.7 points above it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.
qwen3.6-plus lands below the middle on LiveBench Language: 75.0%, #12 of 17, with 65% of the field scoring higher. GPT-5.5 (xhigh) leads at 87.4%; the closest result above is kimi-k2.6-thinking at 75.1%. It covers LiveBench release 2026_06_25. The board median is 77.9%, so qwen3.6-plus is 2.9 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.
qwen3.6-plus lands below the middle on LiveBench Mathematics: 83.7%, #12 of 17, with 65% of the field scoring higher. GPT-5.5 (xhigh) leads at 95.9%; the closest result above is kimi-k2.6-thinking at 84.3%. It covers LiveBench release 2026_06_25. The board median is 88.2%, so qwen3.6-plus is 4.5 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.
qwen3.6-plus lands below the middle on LiveBench Data Analysis: 69.9%, #13 of 17, with 71% of the field scoring higher. GPT-5.5 (xhigh) leads at 81.6%; the closest result above is Qwen3.6 27B at 70.4%. It covers LiveBench release 2026_06_25. The board median is 71.8%, so qwen3.6-plus is 1.9 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.
LiveBench Agentic Coding is a weak spot. qwen3.6-plus scores 41.4%, #14 of 17, behind 76% of the models measured. The leader, claude-opus-4-8-xhigh-effort, reaches 56.1%. It covers LiveBench release 2026_06_25. The board median is 45.8%, so qwen3.6-plus is 4.4 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.
LiveBench IF is a weak spot. qwen3.6-plus scores 58.3%, #14 of 17, behind 76% of the models measured. The leader, gemini-3.1-pro-preview-high, reaches 79.1%. It covers LiveBench release 2026_06_25. The board median is 65.2%, so qwen3.6-plus is 6.9 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.
LiveBench Reasoning is a weak spot. qwen3.6-plus scores 75.8%, #14 of 17, behind 76% of the models measured. The leader, claude-opus-4-8-xhigh-effort, reaches 89.7%. It covers LiveBench release 2026_06_25. The board median is 81.1%, so qwen3.6-plus is 5.3 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.
Strengths and weaknesses
Software engineering: uneven, ahead of 38% of the field on average across 2 benchmarks. Its best board here is LiveBench Coding (#7 of 17) and its weakest is LiveBench Agentic Coding (#14 of 17). Reasoning, maths and science: weak, ahead of 24% of the field on average across 2 benchmarks. Its best board here is LiveBench Mathematics (#12 of 17) and its weakest is LiveBench Reasoning (#14 of 17). General knowledge and chat: weak, ahead of 24% of the field on average across 3 benchmarks. Its best board here is LiveBench Language (#12 of 17) and its weakest is LiveBench IF (#14 of 17).
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so qwen3.6-plus costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on Qwen3-Coder-480B-A35B-Instruct ($0.380) and DeepSeek-R1 ($0.400).
Release history
The Alibaba model released before it was Qwen 3.6 Plus (2026-04-02) on 2026-04-02, which scores 50.1. The next one was Qwen3.6 35B-A3B on 2026-04-14, at 46.2.
Reading these numbers
The 7 scores on this page come from 1 source: LiveBench 2026_06_25 official CSV (7). 7 of them come from an official leaderboard and 0 from datasets or third-party runs. With 7 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #503 Yi-1.5-9B-Chat (46.6)
- #504 Gemini Robotics-ER 1.6 Preview (46.6)
- #505 DeepSeek-V2 (46.6)
- #507 Phi-3.5-mini-instruct (46.5)
- #508 grok-3 (46.5)
- #509 Mellum2-12B-A2.5B-Instruct-SFT (46.5)
More from Alibaba
- Qwen 3.6 Max (Preview) (#25, 54.1)
- Qwen3.8 Max (xhigh) (#37, 53.2)
- Qwen3.7 Max (#71, 52.3)
- ollama/qwen2.5-coder:32b (#93, 51.9)
- Qwen3 235B A22B diff, no think, Alibaba API (#122, 51.5)
- Qwen2.5-Coder-14B-Instruct (#135, 51.3)
Compare it on the live leaderboard → · How the aggregate score works