LLM Comparison

Kimi K3 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 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.

Rank #3 vs #21AskClash overall scores 82.3 vs 55.4.
Pricing $3.00/$15.0 vs $0.40/$1.60Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Alibaba.

Kimi K3 vs Qwen3.7 Plus benchmark comparison

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

MetricKimi K3Qwen3.7 Plus
Overall Score82.355.4
Leaderboard Rank#3#21
RWT7.5
HLE43.534.7
GPQA93.590.3
IFEval94.6
SWE-bench77.7
SWE-Pro57.6
Terminal-Bench88.370.3
DeepSWE67.5
OSWorld73.3
MCP Atlas84.273.2
Finance Agent38.2
CharXiv84.885.9
MMMU-Pro81.679.0
Tau293.0
MRCR91.7
Input Price (per 1M tokens)$3.00$0.40
Output Price (per 1M tokens)$15.0$1.60
Context Window1M1M
Benchmarks Published915

Kimi K3 vs Qwen3.7 Plus head-to-head charts

Kimi K3 leads 6 and Qwen3.7 Plus leads 1 of 7 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3Qwen3.7 Plus
Overall
82.3Kimi K3
55.4Qwen3.7 Plus
HLE
43.5Kimi K3
34.7Qwen3.7 Plus
GPQA
93.5Kimi K3
90.3Qwen3.7 Plus
Terminal-Bench
88.3Kimi K3
70.3Qwen3.7 Plus
MCP Atlas
84.2Kimi K3
73.2Qwen3.7 Plus
CharXiv
84.8Kimi K3
85.9Qwen3.7 Plus
MMMU-Pro
81.6Kimi K3
79.0Qwen3.7 Plus
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
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 K3 and Qwen3.7 Plus comparisons

Explore how Kimi K3 and Qwen3.7 Plus stack up against other top-ranked LLMs.

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.