LLM Comparison

Kimi K3 vs Qwen3.8 Max 0902: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 vs Qwen3.8 Max 0902 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 #7 vs #9AskClash overall scores 72.7 vs 70.0.
Pricing $3.00/$15.0 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Alibaba.

Kimi K3 vs Qwen3.8 Max 0902 benchmark comparison

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

MetricKimi K3Qwen3.8 Max 0902
Overall Score72.770.0
Leaderboard Rank#7#9
ACB57.759.0
RWT8.0
HLE43.543.6
GPQA93.592.6
IFEval82.8
SWE-Pro67.7
SWE-Atlas66.3
Terminal-Bench88.386.6
DeepSWE68.569.3
GDPval-AA1668.0
OSWorld86.1
MCP Atlas84.2
Finance Agent54.4
CharXiv84.888.4
MMMU-Pro81.682.7
MRCR92.9
Input Price (per 1M tokens)$3.00$2.00
Output Price (per 1M tokens)$15.0$6.00
Context Window1M1M
Benchmarks Published1112

Kimi K3 vs Qwen3.8 Max 0902 head-to-head charts

Kimi K3 leads 3 and Qwen3.8 Max 0902 leads 5 of 8 shared benchmarks. Qwen3.8 Max 0902 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3Qwen3.8 Max 0902
Overall
72.7Kimi K3
70.0Qwen3.8 Max 0902
ACB
57.7Kimi K3
59.0Qwen3.8 Max 0902
HLE
43.5Kimi K3
43.6Qwen3.8 Max 0902
GPQA
93.5Kimi K3
92.6Qwen3.8 Max 0902
Terminal-Bench
88.3Kimi K3
86.6Qwen3.8 Max 0902
DeepSWE
68.5Kimi K3
69.3Qwen3.8 Max 0902
CharXiv
84.8Kimi K3
88.4Qwen3.8 Max 0902
MMMU-Pro
81.6Kimi K3
82.7Qwen3.8 Max 0902
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
Qwen3.8 Max 0902
Input$2.00
Output$6.00
Workload$3.20
Context1M

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

More Kimi K3 and Qwen3.8 Max 0902 comparisons

Explore how Kimi K3 and Qwen3.8 Max 0902 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.