Compare · ModelsLive · 2 picked · head to head
Kimi K2.7 Code vs Qwen3.6 Plus
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Kimi K2.7 Code wins on 9/16 benchmarks
Kimi K2.7 Code wins 9 of 16 shared benchmarks. Leads in speed · knowledge · math.
Category leads
speed·Kimi K2.7 Codeknowledge·Kimi K2.7 Codemath·Kimi K2.7 Codecoding·Kimi K2.7 Codereasoning·Qwen3.6 Pluslanguage·Qwen3.6 Plus
Hype vs Reality
Attention vs performance
Kimi K2.7 Code
#77 by perf·#18 by attention
Qwen3.6 Plus
#100 by perf·#2 by attention
Best value
Qwen3.6 Plus
1.7x better value than Kimi K2.7 Code
Kimi K2.7 Code
27.8 pts/$
$2.01/M
Qwen3.6 Plus
46.9 pts/$
$1.14/M
Vendor risk
Who is behind the model
Moonshot AI
$50.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
16 benchmarks · 2 models
Kimi K2.7 CodeQwen3.6 Plus
Artificial Analysis · Agentic Index
Kimi K2.7 Code leads by +2.0
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?"
Kimi K2.7 Code
29.6
Qwen3.6 Plus
27.6
Artificial Analysis · Coding Index
Kimi K2.7 Code leads by +6.2
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.
Kimi K2.7 Code
60.8
Qwen3.6 Plus
54.5
Artificial Analysis · Quality Index
Qwen3.6 Plus leads by +13.8
Kimi K2.7 Code
25.8
Qwen3.6 Plus
39.6
Chess Puzzles
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Kimi K2.7 Code
9.5
Qwen3.6 Plus
9.5
FrontierMath-Tiers-1-3-v2-Private
Kimi K2.7 Code leads by +15.8
Kimi K2.7 Code
54.0
Qwen3.6 Plus
38.3
GPQA diamond
Qwen3.6 Plus leads by +0.7
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Kimi K2.7 Code
83.8
Qwen3.6 Plus
84.5
LiveBench · Agentic Coding
Kimi K2.7 Code leads by +15.0
Kimi K2.7 Code
70.0
Qwen3.6 Plus
55.0
LiveBench · Coding
Qwen3.6 Plus leads by +4.2
Kimi K2.7 Code
74.0
Qwen3.6 Plus
78.2
LiveBench · Data Analysis
Qwen3.6 Plus leads by +7.3
Kimi K2.7 Code
62.7
Qwen3.6 Plus
69.9
LiveBench · If
Qwen3.6 Plus leads by +2.1
Kimi K2.7 Code
56.3
Qwen3.6 Plus
58.3
LiveBench · Language
Kimi K2.7 Code leads by +2.9
Kimi K2.7 Code
77.9
Qwen3.6 Plus
75.0
LiveBench · Mathematics
Qwen3.6 Plus leads by +4.1
Kimi K2.7 Code
79.6
Qwen3.6 Plus
83.7
LiveBench · Overall
Kimi K2.7 Code leads by +1.0
Kimi K2.7 Code
71.9
Qwen3.6 Plus
70.8
LiveBench · Reasoning
Kimi K2.7 Code leads by +7.0
Kimi K2.7 Code
82.8
Qwen3.6 Plus
75.8
OTIS Mock AIME 2024-2025
Kimi K2.7 Code leads by +2.2
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Kimi K2.7 Code
95.5
Qwen3.6 Plus
93.3
SimpleQA Verified
Qwen3.6 Plus leads by +7.6
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Kimi K2.7 Code
36.5
Qwen3.6 Plus
44.1
Full benchmark table
| Benchmark | Kimi K2.7 Code | 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?" | 29.6 | 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. | 60.8 | 54.5 |
Artificial Analysis · Quality Index | 25.8 | 39.6 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 9.5 | 9.5 |
FrontierMath-Tiers-1-3-v2-Private | 54.0 | 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. | 83.8 | 84.5 |
LiveBench · Agentic Coding | 70.0 | 55.0 |
LiveBench · Coding | 74.0 | 78.2 |
LiveBench · Data Analysis | 62.7 | 69.9 |
LiveBench · If | 56.3 | 58.3 |
LiveBench · Language | 77.9 | 75.0 |
LiveBench · Mathematics | 79.6 | 83.7 |
LiveBench · Overall | 71.9 | 70.8 |
LiveBench · Reasoning | 82.8 | 75.8 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 95.5 | 93.3 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 36.5 | 44.1 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.67 | $3.35 | 262K tokens (~131 books) | $13.41 | |
| $0.33 | $1.95 | 1.0M tokens (~500 books) | $7.31 |