How do Kimi K2.7 and Qwen3.7 Max 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 Max when publicly disclosed.

LLM Comparison

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

Q: Which is better: Kimi K2.7 or Qwen3.7 Max?

AskClash compares Kimi K2.7 and Qwen3.7 Max 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.

Side-by-side Kimi K2.7 vs Qwen3.7 Max 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.

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

Rank #30 vs #34AskClash overall scores 35.0 vs 31.4.

Pricing $0.95/$4.00 vs $2.50/$7.50Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryMoonshot AI vs Alibaba.

Kimi K2.7 vs Qwen3.7 Max 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 Max
Overall Score	35.0	31.4
Leaderboard Rank	#30	#34
ACB	43.0	—
RWT	7.5	7.5
HLE	—	41.4
GPQA	—	92.4
IFEval	—	94.3
SWE-bench	—	80.4
Terminal-Bench	—	69.7
DeepSWE	30.5	—
GDPval-AA	—	1546.0
MCP Atlas	76.0	76.4
Finance Agent	—	48.4
Tau2	90.1	94.7
MRCR	—	90.4
Input Price (per 1M tokens)	$0.95	$2.50
Output Price (per 1M tokens)	$4.00	$7.50
Context Window	256K	1M
Benchmarks Published	5	11

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

Kimi K2.7 leads 1 and Qwen3.7 Max leads 2 of 4 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K2.7Qwen3.7 Max

Overall

35.0Kimi K2.7

31.4Qwen3.7 Max

RWT

7.5Kimi K2.7

7.5Qwen3.7 Max

MCP Atlas

76.0Kimi K2.7

76.4Qwen3.7 Max

Tau2

90.1Kimi K2.7

94.7Qwen3.7 Max

Kimi K2.7

Input$0.95

Output$4.00

Workload$1.75

Context256K

Qwen3.7 Max

Input$2.50

Output$7.50

Workload$4.00

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 Max comparisons

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

Claude Fable 5.1 vs Kimi K2.7 Claude Fable 5.1 vs Qwen3.7 Max Claude Fable 5 vs Kimi K2.7 Claude Fable 5 vs Qwen3.7 Max GPT-5.6 Sol vs Kimi K2.7 GPT-5.6 Sol vs Qwen3.7 Max Claude Opus 5 vs Kimi K2.7 Claude Opus 5 vs Qwen3.7 Max Grok 4.6 vs Kimi K2.7 Grok 4.6 vs Qwen3.7 Max

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.