LLM Comparison

Qwen3.8 Max vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max vs Kimi K2.7 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 leaderboardQwen3.8 Max model pageKimi K2.7 model page
Rank #13 vs #19AskClash overall scores 64.0 vs 52.9.
Pricing $2.00/$6.00 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAlibaba vs Moonshot AI.

Qwen3.8 Max vs Kimi K2.7 benchmark comparison

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

MetricQwen3.8 MaxKimi K2.7
Overall Score64.052.9
Leaderboard Rank#13#19
RWT—7.5
HLE43.654.0
GPQA92.690.5
IFEval82.8—
SWE-bench—80.2
SWE-Pro67.758.6
Terminal-Bench86.666.7
DeepSWE56.630.5
OSWorld86.173.1
MCP Atlas—76.0
Finance Agent—44.9
CharXiv88.480.4
MMMU-Pro82.379.4
Tau2—90.1
MRCR92.9—
Input Price (per 1M tokens)$2.00$0.95
Output Price (per 1M tokens)$6.00$4.00
Context Window1M256K
Benchmarks Published1014

Qwen3.8 Max vs Kimi K2.7 head-to-head charts

Qwen3.8 Max leads 8 and Kimi K2.7 leads 1 of 9 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxKimi K2.7
Overall
64.0Qwen3.8 Max
52.9Kimi K2.7
HLE
43.6Qwen3.8 Max
54.0Kimi K2.7
GPQA
92.6Qwen3.8 Max
90.5Kimi K2.7
SWE-Pro
67.7Qwen3.8 Max
58.6Kimi K2.7
Terminal-Bench
86.6Qwen3.8 Max
66.7Kimi K2.7
DeepSWE
56.6Qwen3.8 Max
30.5Kimi K2.7
OSWorld
86.1Qwen3.8 Max
73.1Kimi K2.7
CharXiv
88.4Qwen3.8 Max
80.4Kimi K2.7
MMMU-Pro
82.3Qwen3.8 Max
79.4Kimi K2.7
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K

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

More Qwen3.8 Max and Kimi K2.7 comparisons

Explore how Qwen3.8 Max and Kimi K2.7 stack up against other top-ranked LLMs.

Claude Opus 5 vs Qwen3.8 MaxClaude Opus 5 vs Kimi K2.7Claude Fable 5 vs Qwen3.8 MaxClaude Fable 5 vs Kimi K2.7GPT-5.6 Sol vs Qwen3.8 MaxGPT-5.6 Sol vs Kimi K2.7Kimi K3 vs Qwen3.8 MaxKimi K3 vs Kimi K2.7Claude Opus 4.8 vs Qwen3.8 MaxClaude Opus 4.8 vs Kimi K2.7

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.