Compare · ModelsLive · 2 picked · head to head
Kimi K2.6 vs Qwen3.7 Plus
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Kimi K2.6 wins on 11/12 benchmarks
Kimi K2.6 wins 11 of 12 shared benchmarks. Leads in speed · arena · knowledge.
Category leads
speed·Kimi K2.6arena·Kimi K2.6knowledge·Kimi K2.6general·Kimi K2.6math·Kimi K2.6
Hype vs Reality
Attention vs performance
Kimi K2.6
#205 by perf·#17 by attention
Qwen3.7 Plus
#183 by perf·#2 by attention
Best value
Qwen3.7 Plus
3.3x better value than Kimi K2.6
Kimi K2.6
15.5 pts/$
$2.48/M
Qwen3.7 Plus
51.5 pts/$
$0.80/M
Vendor risk
Who is behind the model
Moonshot AI
$18.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
12 benchmarks · 2 models
Kimi K2.6Qwen3.7 Plus
Artificial Analysis · Agentic Index
Kimi K2.6 leads by +9.5
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?"
Kimi K2.6
30.3
Qwen3.7 Plus
20.8
Artificial Analysis · Coding Index
Kimi K2.6 leads by +0.2
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 K2.6
56.0
Qwen3.7 Plus
55.9
Artificial Analysis · Quality Index
Kimi K2.6 leads by +17.7
Kimi K2.6
42.8
Qwen3.7 Plus
25.2
Chatbot Arena Elo · Overall
Kimi K2.6 leads by +5.2
Kimi K2.6
1461.0
Qwen3.7 Plus
1455.8
Chess Puzzles
Kimi K2.6 leads by +2.1
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Kimi K2.6
22.1
Qwen3.7 Plus
20.0
Dtbench
Kimi K2.6 leads by +11.5
Kimi K2.6
84.9
Qwen3.7 Plus
73.3
FrontierMath-Tiers-1-3-v2-Private
Kimi K2.6 leads by +22.8
Kimi K2.6
57.2
Qwen3.7 Plus
34.4
GPQA diamond
Kimi K2.6 leads by +3.9
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Kimi K2.6
87.7
Qwen3.7 Plus
83.8
Lmca
Qwen3.7 Plus leads by +0.4
Kimi K2.6
43.8
Qwen3.7 Plus
44.2
Mystery Game Puzzles
Kimi K2.6 leads by +1.1
Kimi K2.6
9.7
Qwen3.7 Plus
8.6
Osworld 2 0
Kimi K2.6 leads by +1.8
Kimi K2.6
4.6
Qwen3.7 Plus
2.8
OTIS Mock AIME 2024-2025
Kimi K2.6 leads by +2.8
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Kimi K2.6
96.1
Qwen3.7 Plus
93.3
Full benchmark table
| Benchmark | Kimi K2.6 | Qwen3.7 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?" | 30.3 | 20.8 |
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. | 56.0 | 55.9 |
Artificial Analysis · Quality Index | 42.8 | 25.2 |
Chatbot Arena Elo · Overall | 1461.0 | 1455.8 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 22.1 | 20.0 |
Dtbench | 84.9 | 73.3 |
FrontierMath-Tiers-1-3-v2-Private | 57.2 | 34.4 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 87.7 | 83.8 |
Lmca | 43.8 | 44.2 |
Mystery Game Puzzles | 9.7 | 8.6 |
Osworld 2 0 | 4.6 | 2.8 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 96.1 | 93.3 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.95 | $4.00 | 262K tokens (~131 books) | $17.13 | |
| $0.32 | $1.28 | 1.0M tokens (~500 books) | $5.60 |