How do Qwen3.8 Max 0902 and Kimi K3 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.8 Max 0902 and Kimi K3 when publicly disclosed.

LLM Comparison

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

Q: Which is better: Qwen3.8 Max 0902 or Kimi K3?

AskClash compares Qwen3.8 Max 0902 and Kimi K3 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 Qwen3.8 Max 0902 vs Kimi K3 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 Qwen3.8 Max 0902 model page Kimi K3 model page

Rank #8 vs #11AskClash overall scores 64.6 vs 62.5.

Pricing $2.00/$6.00 vs $3.00/$15.0Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightAlibaba vs Moonshot AI.

Qwen3.8 Max 0902 vs Kimi K3 benchmark comparison

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

Metric	Qwen3.8 Max 0902	Kimi K3
Overall Score	64.6	62.5
Leaderboard Rank	#8	#11
ACB	—	57.7
RWT	—	8.0
HLE	43.6	43.5
GPQA	92.6	93.5
IFEval	82.8	—
SWE-Pro	67.7	—
SWE-Atlas	66.3	—
Terminal-Bench	86.6	88.3
DeepSWE	69.3	68.5
GDPval-AA	—	1668.0
OSWorld	86.1	—
MCP Atlas	—	84.2
Finance Agent	—	54.4
CharXiv	88.4	84.8
MMMU-Pro	82.7	81.6
MRCR	92.9	—
Input Price (per 1M tokens)	$2.00	$3.00
Output Price (per 1M tokens)	$6.00	$15.0
Context Window	1M	1M
Benchmarks Published	11	11

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

Qwen3.8 Max 0902 leads 5 and Kimi K3 leads 2 of 7 shared benchmarks. Qwen3.8 Max 0902 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902Kimi K3

Overall

64.6Qwen3.8 Max 0902

62.5Kimi K3

HLE

43.6Qwen3.8 Max 0902

43.5Kimi K3

GPQA

92.6Qwen3.8 Max 0902

93.5Kimi K3

Terminal-Bench

86.6Qwen3.8 Max 0902

88.3Kimi K3

DeepSWE

69.3Qwen3.8 Max 0902

68.5Kimi K3

CharXiv

88.4Qwen3.8 Max 0902

84.8Kimi K3

MMMU-Pro

82.7Qwen3.8 Max 0902

81.6Kimi K3

Qwen3.8 Max 0902

Input$2.00

Output$6.00

Workload$3.20

Context1M

Kimi K3

Input$3.00

Output$15.0

Workload$6.00

Context1M

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

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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.