Compare · ModelsLive · 2 picked · head to head
Qwen3.6 27B vs Qwen3.6 Plus
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Qwen3.6 Plus wins on 15/18 benchmarks
Qwen3.6 Plus wins 15 of 18 shared benchmarks. Leads in speed · knowledge · general.
Category leads
speed·Qwen3.6 Plusknowledge·Qwen3.6 Plusgeneral·Qwen3.6 Plusmath·Qwen3.6 Pluscoding·Qwen3.6 Plusreasoning·Qwen3.6 27Blanguage·Qwen3.6 Plus
Hype vs Reality
Attention vs performance
Qwen3.6 27B
#68 by perf·#2 by attention
Qwen3.6 Plus
#100 by perf·#2 by attention
Best value
Qwen3.6 Plus
1.4x better value than Qwen3.6 27B
Qwen3.6 27B
32.3 pts/$
$1.76/M
Qwen3.6 Plus
46.9 pts/$
$1.14/M
Vendor risk
Who is behind the model
Alibaba (Qwen)
$293.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
18 benchmarks · 2 models
Qwen3.6 27BQwen3.6 Plus
Artificial Analysis · Agentic Index
Qwen3.6 Plus leads by +0.5
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
Qwen3.6 27B
27.0
Qwen3.6 Plus
27.6
Artificial Analysis · Coding Index
Qwen3.6 Plus leads by +0.8
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
Qwen3.6 27B
53.7
Qwen3.6 Plus
54.5
Artificial Analysis · Quality Index
Qwen3.6 Plus leads by +2.5
Qwen3.6 27B
37.0
Qwen3.6 Plus
39.6
Chess Puzzles
Qwen3.6 27B leads by +8.4
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Qwen3.6 27B
17.9
Qwen3.6 Plus
9.5
Dtbench
Qwen3.6 Plus leads by +6.2
Qwen3.6 27B
63.5
Qwen3.6 Plus
69.8
FrontierMath-Tiers-1-3-v2-Private
Qwen3.6 Plus leads by +3.2
Qwen3.6 27B
35.1
Qwen3.6 Plus
38.3
GPQA diamond
Qwen3.6 Plus leads by +3.4
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Qwen3.6 27B
81.1
Qwen3.6 Plus
84.5
LiveBench · Agentic Coding
Qwen3.6 Plus leads by +5.0
Qwen3.6 27B
50.0
Qwen3.6 Plus
55.0
LiveBench · Coding
Qwen3.6 Plus leads by +6.4
Qwen3.6 27B
71.8
Qwen3.6 Plus
78.2
LiveBench · Data Analysis
Qwen3.6 27B leads by +0.5
Qwen3.6 27B
70.4
Qwen3.6 Plus
69.9
LiveBench · If
Qwen3.6 Plus leads by +5.1
Qwen3.6 27B
53.2
Qwen3.6 Plus
58.3
LiveBench · Language
Qwen3.6 Plus leads by +11.7
Qwen3.6 27B
63.3
Qwen3.6 Plus
75.0
LiveBench · Mathematics
Qwen3.6 Plus leads by +3.8
Qwen3.6 27B
79.9
Qwen3.6 Plus
83.7
LiveBench · Overall
Qwen3.6 Plus leads by +5.3
Qwen3.6 27B
65.6
Qwen3.6 Plus
70.8
LiveBench · Reasoning
Qwen3.6 Plus leads by +5.5
Qwen3.6 27B
70.3
Qwen3.6 Plus
75.8
Lmca
Qwen3.6 27B leads by +1.7
Qwen3.6 27B
40.6
Qwen3.6 Plus
38.9
Mystery Game Puzzles
Qwen3.6 Plus leads by +3.1
Qwen3.6 27B
0.0
Qwen3.6 Plus
3.1
OTIS Mock AIME 2024-2025
Qwen3.6 Plus leads by +2.2
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Qwen3.6 27B
91.1
Qwen3.6 Plus
93.3
Full benchmark table
| Benchmark | Qwen3.6 27B | Qwen3.6 Plus |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 27.0 | 27.6 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 53.7 | 54.5 |
Artificial Analysis · Quality Index | 37.0 | 39.6 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 17.9 | 9.5 |
Dtbench | 63.5 | 69.8 |
FrontierMath-Tiers-1-3-v2-Private | 35.1 | 38.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 81.1 | 84.5 |
LiveBench · Agentic Coding | 50.0 | 55.0 |
LiveBench · Coding | 71.8 | 78.2 |
LiveBench · Data Analysis | 70.4 | 69.9 |
LiveBench · If | 53.2 | 58.3 |
LiveBench · Language | 63.3 | 75.0 |
LiveBench · Mathematics | 79.9 | 83.7 |
LiveBench · Overall | 65.6 | 70.8 |
LiveBench · Reasoning | 70.3 | 75.8 |
Lmca | 40.6 | 38.9 |
Mystery Game Puzzles | 0.0 | 3.1 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 91.1 | 93.3 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.32 | $3.20 | 262K tokens (~131 books) | $10.40 | |
| $0.33 | $1.95 | 1.0M tokens (~500 books) | $7.31 |