Which is better: Kimi K2.7 or Qwen3.7 Plus?

Verdict: Kimi K2.7 ranks higher (#46 vs #49); Qwen3.7 Plus wins 4 of 7 shared benchmarks; Qwen3.7 Plus costs less ($0.40/$1.60 vs $0.95/$4.00 per 1M tokens). AskClash compares Kimi K2.7 and Qwen3.7 Plus side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do Kimi K2.7 and Qwen3.7 Plus compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Kimi K2.7 and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

Kimi K2.7 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Side-by-side Kimi K2.7 vs Qwen3.7 Plus comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Kimi K2.7 ranks higher (#46 vs #49); Qwen3.7 Plus wins 4 of 7 shared benchmarks; Qwen3.7 Plus costs less ($0.40/$1.60 vs $0.95/$4.00 per 1M tokens).

Open live leaderboard Kimi K2.7 model page Qwen3.7 Plus model page

Rank #46 vs #49AskClash overall scores 40.3 vs 39.9.

Pricing $0.95/$4.00 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryMoonshot AI vs Alibaba.

Kimi K2.7 vs Qwen3.7 Plus benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	Kimi K2.7	Qwen3.7 Plus
Overall Score	40.3	39.9
Leaderboard Rank	#46	#49
ACB	43.0	—
RWT	7.5	7.5
HLE	35.0	34.7
GPQA	89.6	90.3
IFEval	63.1	94.6
SWE-bench	—	77.7
SWE-Pro	—	57.6
DeepSWE	30.5	—
GDPval-AA	1040.5	1522.1
OSWorld	—	73.3
MCP Atlas	76.0	73.2
Finance Agent	—	38.2
CharXiv	—	85.9
MMMU-Pro	—	79.0
Tau2	90.1	93.0
MRCR	—	91.7
Input Price (per 1M tokens)	$0.95	$0.40
Output Price (per 1M tokens)	$4.00	$1.60
Context Window	256K	1M
Benchmarks Published	9	11

Kimi K2.7 vs Qwen3.7 Plus head-to-head charts

Kimi K2.7 leads 3 and Qwen3.7 Plus leads 4 of 8 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K2.7Qwen3.7 Plus

Overall

40.3Kimi K2.7

39.9Qwen3.7 Plus

RWT

7.5Kimi K2.7

7.5Qwen3.7 Plus

HLE

35.0Kimi K2.7

34.7Qwen3.7 Plus

GPQA

89.6Kimi K2.7

90.3Qwen3.7 Plus

IFEval

63.1Kimi K2.7

94.6Qwen3.7 Plus

GDPval-AA

1040.5Kimi K2.7

1522.1Qwen3.7 Plus

MCP Atlas

76.0Kimi K2.7

73.2Qwen3.7 Plus

Tau2

90.1Kimi K2.7

93.0Qwen3.7 Plus

Kimi K2.7

Input$0.95

Output$4.00

Workload$1.75

Context256K

Qwen3.7 Plus

Input$0.40

Output$1.60

Workload$0.72

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Kimi K2.7 and Qwen3.7 Plus comparisons

Explore how Kimi K2.7 and Qwen3.7 Plus stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Kimi K2.7 Claude Opus 5.5 vs Qwen3.7 Plus Claude Fable 5.1 vs Kimi K2.7 Claude Fable 5.1 vs Qwen3.7 Plus Claude Opus 5 vs Kimi K2.7 Claude Opus 5 vs Qwen3.7 Plus Claude Sonnet 5.5 vs Kimi K2.7 Claude Sonnet 5.5 vs Qwen3.7 Plus Claude Fable 5 vs Kimi K2.7 Claude Fable 5 vs Qwen3.7 Plus

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.