AlibabaQwen3.6 Plus
Qwen3.6 Plus is an Alibaba proprietary reasoning model, released 31 Mar 2026. Its best configuration ranks #144 of 785 on the BenchLeader Index at 58.8 ±3.8, in the upper half. The ± is the point: 231 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in instruction following (73) and lowest in coding (51). At $1.13 per million tokens blended it is pricier than most ranked models. Output speed of 56 tokens per second puts it slower than most, with a first answer in 101.6 s. It has been measured at 2 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 22 Oct 2026.
- Blended price
- $1.13/M
- $0.500 in · $3.00 out
- Output speed
- 56 tok/s
- measured by Artificial Analysis
- First answer
- 102 s
- first token 0.98 s
- Context
- 1M
- Full answer
- 111 s
- median, reasoning included
- Cost per run
- –
- Released
- 31 Mar 2026
- Overall index59
- Reasoning56
- Coding51
- Agents & tools53
- Maths58
- Knowledge58
- Instruction following73
- Human preference63
- Multimodal61
- Long context64
- Composite60
Versions
Alibaba has shipped 3 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| Qwen3.7 Plus | 2 Jun 2026 | 58.5 | #150 |
| Qwen3.6 Plusthis page | 31 Mar 2026 | 58.8 | #144 |
| Qwen3.5 Plusthinking | 16 Feb 2026 | 57.3 | #182 |
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| no reasoning | – | – | 56 tok/s | 102 s | $0.0011 | Maths 43 |
| not statedbest | 58.8 | #144 | 56 tok/s | 102 s | $0.0011 | Agents & tools 53 · Coding 51 · Composite 60 · Human preference 63 · Instruction following 73 · Knowledge 58 · Long context 64 · Maths 58 · Multimodal 61 · Reasoning 56 |
How its index has moved
8 Sept 2026 to 19 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | no reasoning | not stated | Source | Trend |
|---|---|---|---|---|
| GPQA Diamondeffort not stated | – | 88.4%#60 | Epoch AI Benchmarking Hub | |
| Arena Hard Promptseffort not stated | – | 1468#83 | Arena (LMArena) | |
| LiveBench 1.0 Reasoningnot in indexeffort not stated | – | 75.8%#60 | LiveBench | |
| GPQA Diamond (AA)not in indexeffort not stated | – | 88.2%#92 | Artificial Analysis | |
| Humanity's Last Exam (AA)not in indexeffort not stated | – | 27.9%#171 | Artificial Analysis | |
| GPQA Diamond (Vals)not in indexeffort not stated | – | 87.4%#37 | Vals AI | |
| CritPteffort not stated | – | 2.9%#182 | Artificial Analysis | |
| Chess Puzzlesnot in indexeffort not stated | – | 14.0%#111 | Epoch AI Benchmarking Hub | |
| Mystery Game Puzzlesnot in index | 12.0%#103 | – | Epoch AI Benchmarking Hub | |
| CL-benchnot in indexeffort not stated | – | 20.3%#8 | Epoch AI Benchmarking Hub | |
| LMCAnot in indexeffort not stated | – | 33.1%#131 | Epoch AI Benchmarking Hub | |
| DTBenchnot in indexeffort not stated | – | 81.9%#123 | Epoch AI Benchmarking Hub |
Coding
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| SWE-bench Verified (Epoch) | 57.9%#30 | Epoch AI Benchmarking Hub | |
| SciCode | 40.7%#156 | SciCode | |
| Arena Coding | 1496#86 | Arena (LMArena) | |
| Arena WebDev | 1462#70 | Arena (LMArena) | |
| LiveBench 1.0 Codingnot in index | 78.2%#32 | LiveBench | |
| LiveCodeBench | 86.0%#24 | Vals AI | |
| SWE-bench (Vals)not in index | 73.4%#50 | Vals AI | |
| Code Migrationnot in index | 11.1%#61 | Vals AI | |
| ProgramBenchnot in index | 0.0%#32 | Vals AI | |
| Vibe Code Bench v1.1not in index | 25.6%#76 | Vals AI | |
| ALE-Benchnot in index | 670.1#89 | Epoch AI Benchmarking Hub | |
| Terminal-Bench 2.1 (AA)not in index | 61.4%#95 | Artificial Analysis |
Agents & tools
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| LiveBench Agentic Codingnot in index | 41.4%#60 | LiveBench | |
| Terminal-Bench Hard | 43.9%#37 | Artificial Analysis | |
| τ²-Bench Telecom (AA)not in index | 97.7%#9 | Artificial Analysis | |
| Terminal-Bench 2.1 (Vals) | 53.2%#54 | Vals AI | |
| τ³-Banking (AA) | 20.8%#94 | Artificial Analysis | |
| Finance Agent v2not in index | 40.9%#61 | Vals AI | |
| Harvey's Legal Agent Benchmark v1not in index | 1.3%#52 | Vals AI | |
| Legal Research Benchnot in index | 14.9%#67 | Vals AI | |
| Tax Agent Benchnot in index | 7.7%#61 | Vals AI | |
| Terminal-Bench 2.0 (Vals)not in index | 44.9%#24 | Vals AI | |
| Vending-Bench 2not in index | 5114.9#30 | Andon Labs |
Maths
| Benchmark | no reasoning | not stated | Source | Trend |
|---|---|---|---|---|
| FrontierMath Tiers 1–3 | 32.3%#72 | 38.3%#63 | Epoch AI Benchmarking Hub | |
| OTIS Mock AIMEeffort not stated | – | 93.3%#59 | Epoch AI Benchmarking Hub | |
| LiveBench Mathematicsnot in indexeffort not stated | – | 83.7%#58 | LiveBench | |
| AIME (Vals)effort not stated | – | 94.6%#13 | Vals AI | |
| Arena Mathseffort not stated | – | 1454#71 | Arena (LMArena) |
Knowledge
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| SimpleQA Verified | 44.1%#40 | Epoch AI Benchmarking Hub | |
| LiveBench 1.0 Data Analysisnot in index | 69.9%#52 | LiveBench | |
| AA-Omniscience | 0.9#127 | Artificial Analysis | |
| MMLU-Pro | 87.7%#24 | Vals AI | |
| LegalBench | 84.2%#37 | Vals AI | |
| CorpFin | 61.9%#50 | Vals AI | |
| TaxEval | 74.7%#30 | Vals AI | |
| CaseLaw v2not in index | 51.5%#48 | Vals AI | |
| Excel Modeling Benchmarknot in index | 32.9%#60 | Vals AI | |
| MedCodenot in index | 36.9%#74 | Vals AI | |
| MedScribenot in index | 77.0%#71 | Vals AI | |
| AA-Omniscience: accuracynot in index | 26.4%#216 | Artificial Analysis | |
| AA-Omniscience: non-hallucinationnot in index | 65.4%#63 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| LiveBench Languagenot in index | 75.0%#48 | LiveBench | |
| LiveBench Instruction Followingnot in index | 58.3%#59 | LiveBench | |
| IFBench | 75.2%#34 | Artificial Analysis | |
| Arena Instruction Followingnot in index | 1435#86 | Arena (LMArena) |
Human preference
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Text | 1443#87 | Arena (LMArena) | |
| Arena Creative Writingnot in index | 1407#98 | Arena (LMArena) | |
| Arena Multi-turnnot in index | 1445#95 | Arena (LMArena) | |
| Arena Longer Queriesnot in index | 1454#80 | Arena (LMArena) |
Multimodal
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| MMMU-Pro | 78.0%#78 | Artificial Analysis | |
| MMMU-Pro (Vals)not in index | 84.2%#27 | Vals AI | |
| MortgageTaxnot in index | 68.0%#21 | Vals AI | |
| SAGEnot in index | 44.9%#43 | Vals AI |
Long context
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-LCR | 78.3%#112 | Artificial Analysis |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Epoch Capabilities Indexnot in index | 147.3#68 | Epoch AI Benchmarking Hub | |
| LiveBench 1.0not in index | 68.9%#57 | LiveBench | |
| AA Intelligence Index v4.3.2 | 27.0#146 | Artificial Analysis | |
| Vals Multimodal Indexnot in index | 51.5%#24 | Vals AI |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Alibaba Cloud Int. | 51 tok/s | 1.35 s | $0.325 | $1.95 | 1M | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.050 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0011 | $0.0010 | 1.8 min |
| Summarize a 30-page report | 12,000 / 600 | $0.0078 | $0.0038 | 1.9 min |
| Code edit | 6,000 / 1,500 | $0.0075 | $0.0055 | 2.1 min |
| Agentic coding session | 60,000 / 4,000 | $0.042 | $0.022 | 2.9 min |
| Structured extraction | 2,000 / 200 | $0.0016 | $0.0009 | 1.8 min |
See also
Questions people ask
- What are Qwen3.6 Plus's benchmark scores?
- As of 24 Oct 2026, Qwen3.6 Plus scores 58.8 ±3.8 on the BenchLeader Index, strongest in instruction following (73) and weakest in coding (51). That rests on 26 independent benchmark results, and every score on this page links to its publisher.
- How does Qwen3.6 Plus rank?
- Qwen3.6 Plus is #144 of 785 ranked configurations on 24 Oct 2026. 231 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does Qwen3.6 Plus cost per 1M tokens?
- As of 24 Oct 2026, Qwen3.6 Plus costs $0.500 per 1M input tokens and $3.00 per 1M output tokens, $1.13 blended (three input tokens per output token).
- When was Qwen3.6 Plus released?
- Alibaba released Qwen3.6 Plus on 31 Mar 2026. BenchLeader has results for it at 2 reasoning-effort settings.
Data as of 24 Oct 2026. Compare these configurations.
Cite as: BenchLeader, “Qwen3.6 Plus: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/qwen3-6-plus.