LLM Comparison

Kimi K3.1 Pro vs Qwen3.7 Max: benchmark scores, pricing & comparison.

Side-by-side Kimi K3.1 Pro 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.

Verdict: Kimi K3.1 Pro ranks higher (#4 vs #106) and wins 4 of 4 shared benchmarks.

Rank #4 vs #106AskClash overall scores 75.5 vs 48.6.
Pricing $2.00/$10.0 vs $2.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Alibaba.

Kimi K3.1 Pro vs Qwen3.7 Max benchmark comparison

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

MetricKimi K3.1 ProQwen3.7 Max
Overall Score75.548.6
Leaderboard Rank#4#106
RWT—7.5
HLE70.041.4
GPQA94.292.4
IFEval—94.3
SWE-bench—80.4
Terminal-Bench65.7—
DeepSWE75.5—
GDPval-AA1846.01546.0
MCP Atlas—76.4
Finance Agent58.648.4
CharXiv89.0—
MMMU-Pro84.1—
Tau2—94.7
MRCR—90.4
Input Price (per 1M tokens)$2.00$2.50
Output Price (per 1M tokens)$10.0$7.50
Context Window1M1M
Benchmarks Published98

Kimi K3.1 Pro vs Qwen3.7 Max head-to-head charts

Kimi K3.1 Pro leads 5 and Qwen3.7 Max leads 0 of 5 shared benchmarks. Charts show only benchmarks both models publish.

Kimi K3.1 ProQwen3.7 Max
Overall
75.5Kimi K3.1 Pro
48.6Qwen3.7 Max
HLE
70.0Kimi K3.1 Pro
41.4Qwen3.7 Max
GPQA
94.2Kimi K3.1 Pro
92.4Qwen3.7 Max
GDPval-AA
1846.0Kimi K3.1 Pro
1546.0Qwen3.7 Max
Finance Agent
58.6Kimi K3.1 Pro
48.4Qwen3.7 Max
Kimi K3.1 Pro
Input$2.00
Output$10.0
Workload$4.00
Context1M
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 K3.1 Pro and Qwen3.7 Max comparisons

Explore how Kimi K3.1 Pro and Qwen3.7 Max 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.