Qwen 3.6 Plus (2026-04-02): benchmark scores, price and ranking
Qwen 3.6 Plus (2026-04-02) from Alibaba ranks #212 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.1), based on 15 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Frontier model
- Open weights
- No
- Released
- 2026-04-02 (source: name)
- Aggregate rank
- #212 of 743 (score 50.1)
Relative to other models, Qwen 3.6 Plus (2026-04-02) is strongest on GPQA Diamond (#47 of 275) and weakest on Mystery Games (#45 of 59).
Across the 15 benchmarks where at least ten models are scored, Qwen 3.6 Plus (2026-04-02) is in the top 10% on 0 and in the top half on 10.
Qwen 3.6 Plus (2026-04-02) benchmark results
About Qwen 3.6 Plus (2026-04-02)
Qwen 3.6 Plus (2026-04-02) is a frontier model from Alibaba. It was released on 2026-04-02, according to the model's own name. No API price is listed for it yet. We hold 15 benchmark results for it across 4 areas, and none is in the top tenth of its board.
Where Qwen 3.6 Plus (2026-04-02) stands
On our aggregate score, Qwen 3.6 Plus (2026-04-02) is #212 of 743 ranked models, around the middle of the table. Its score is 50.1; the scale is centred on 50, so it sits 0.1 points above the typical model. That beats 71% of the ranked field. Among the 74 ranked Alibaba models it is #15. The next one up is ollama/qwen2.5-coder:14b at 50.1. The next one down is Qwen2.5-72B at 50.1.
Qwen 3.6 Plus (2026-04-02), benchmark by benchmark
GPQA Diamond puts Qwen 3.6 Plus (2026-04-02) at 88.4%, #47 of 275. That beats 83% of the models tested, but 7.4 points short of GPT-6 Astra (max) (95.8%). The results either side are Claude Opus 4.6 (max) (88.4%) and Ring-2.6-1T (88.3%). It covers expert-level science questions. The board median is 71.7%, so Qwen 3.6 Plus (2026-04-02) is 16.7 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
On OTIS Mock AIME, Qwen 3.6 Plus (2026-04-02) reaches 93.3%. It ranks #33 of 189, ahead of 83% of the field, and 6.7 points behind Claude Fable 5.1 (max) at 100.0%. The results either side are grok-4.3 (high) (93.3%) and Qwen3.7 Plus (93.3%). It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so Qwen 3.6 Plus (2026-04-02) is 35.6 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Qwen 3.6 Plus (2026-04-02) manages $5,115 on Vending-Bench 2, good for #4 of 19. Kimi K2.6 leads at $6,205, 1,090 points further up, and 79% of models sit below. The results either side are Gemini 3 Pro Preview ($5,478) and Kimi K2.7 Code ($5,083). It covers running a vending business for a year (final money, $). The board median is $2,377, so Qwen 3.6 Plus (2026-04-02) is 2,738 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
CL-bench puts Qwen 3.6 Plus (2026-04-02) at 20.3%, #4 of 16. That beats 75% of the models tested, but 7.6 points short of GPT-5.4 (xhigh) (27.9%). The results either side are grok-4-20 (22.2%) and Qwen3.5 Plus (19.8%). It covers learning new rules from context. The board median is 17.7%, so Qwen 3.6 Plus (2026-04-02) is 2.6 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
On DTBench, Qwen 3.6 Plus (2026-04-02) reaches 81.9%. It ranks #46 of 146, ahead of 68% of the field, and 17.1 points behind Claude Opus 5.5 (max) at 98.9%. The results either side are Qwen3-Max-Instruct (82.1%) and Claude Opus 4 (81.6%). It covers dynamic tool-use benchmark. The board median is 68.8%, so Qwen 3.6 Plus (2026-04-02) is 13.1 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Qwen 3.6 Plus (2026-04-02) manages 1,461 on WebDev Arena, good for #28 of 67. Claude Opus 5.5 (max) leads at 1,820, 360 points further up, and 58% of models sit below. The results either side are Kimi K2.7 Code (1,473) and Gemini 3 Pro Preview (1,439). It covers building web apps, crowd-voted (Elo). The board median is 1,433, so Qwen 3.6 Plus (2026-04-02) is 27 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Qwen 3.6 Plus (2026-04-02) lands below the middle on SciCode: 40.7%, #60 of 106, with 56% of the field scoring higher. Claude Opus 5.5 (max) leads at 66.9%; the closest result above is Cogito v2.1 (671B) at 41.0%. It covers scientific research code. The board median is 44.3%, so Qwen 3.6 Plus (2026-04-02) is 3.6 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Qwen 3.6 Plus (2026-04-02) lands below the middle on ALE-Bench: 670, #46 of 79, with 57% of the field scoring higher. GPT-6 Astra (max) leads at 2,951; the closest result above is claude-opus-4-1-20250805_16K at 675. It covers AtCoder heuristic-optimisation contests (performance rating). The board median is 764, so Qwen 3.6 Plus (2026-04-02) is 94 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Qwen 3.6 Plus (2026-04-02) lands below the middle on FrontierMath T1-3: 38.2%, #44 of 68, with 63% of the field scoring higher. GPT-6 Astra (max) leads at 93.7%; the closest result above is grok-4.3 (high) at 42.8%. It covers research-level maths, tiers 1-3. The board median is 55.6%, so Qwen 3.6 Plus (2026-04-02) is 17.4 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Qwen 3.6 Plus (2026-04-02) lands below the middle on Mystery Games: 12.0%, #45 of 59, with 75% of the field scoring higher. GPT-6 Astra (max) leads at 84.0%; the closest result above is gpt-4o-mini-2024-07-18 at 12.0%. It covers deductive reasoning puzzles. The board median is 23.0%, so Qwen 3.6 Plus (2026-04-02) is 11.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
The full table above also lists the other 5 results, including boards with fewer than ten models, where a rank says little.
Strengths and weaknesses
Software engineering: uneven, ahead of 49% of the field on average across 4 benchmarks. Its best board here is WebDev Arena (#28 of 67) and its weakest is ALE-Bench (#46 of 79). Reasoning, maths and science: solid, ahead of 63% of the field on average across 4 benchmarks. Its best board here is GPQA Diamond (#47 of 275) and its weakest is FrontierMath T1-3 (#44 of 68). General knowledge and chat: solid, ahead of 58% of the field on average across 6 benchmarks. Its best board here is Vending-Bench 2 (#4 of 19) and its weakest is Mystery Games (#45 of 59).
Release history
The Alibaba model released before it was Qwen3.5 Flash on 2026-02-25, which scores 46.4. The next one was qwen3.6-plus on 2026-04-02, at 46.6.
Reading these numbers
The 15 scores on this page come from 1 source: Epoch AI Benchmarking Hub (15). No official leaderboard supplied any of them, so treat them as third-party measurements.
Models ranked nearby
- #209 Muse Wonder (max) (50.1)
- #210 Claude Code + GLM-5.3-Flash (50.1)
- #211 ollama/qwen2.5-coder:14b (50.1)
- #213 Qwen2.5-72B (50.1)
- #214 Gemini 3 Deep Think (Preview) ² (50.1)
- #215 glm-4.7-flash (50.1)
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