Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
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.
Verdict: Qwen3.8 Max ranks higher (#13 vs #48) and wins 2 of 2 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $2.00/$6.00 per 1M tokens).
Rank #13 vs #48AskClash overall scores 60.5 vs 31.4.
Pricing $2.00/$6.00 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Open Weight 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.
| Metric | Qwen3.8 Max | Kimi K2.7 |
|---|---|---|
| Overall Score | 60.5 | 31.4 |
| Leaderboard Rank | #13 | #48 |
| ACB | 69.3 | 43.0 |
| RWT | — | 7.5 |
| HLE | 43.6 | — |
| GPQA | 92.6 | — |
| IFEval | 82.8 | — |
| SWE-Pro | 67.7 | — |
| SWE-Atlas | 66.3 | — |
| Terminal-Bench | 38.9 | — |
| DeepSWE | 69.3 | 30.5 |
| GDPval-AA | 1673.9 | — |
| OSWorld | 86.1 | — |
| MCP Atlas | — | 76.0 |
| Finance Agent | 50.6 | — |
| CharXiv | 88.4 | — |
| MMMU-Pro | 82.7 | — |
| MRCR | 92.9 | — |
| Input Price (per 1M tokens) | $2.00 | $0.95 |
| Output Price (per 1M tokens) | $6.00 | $4.00 |
| Context Window | 1M | 256K |
| Benchmarks Published | 14 | 4 |
Qwen3.8 Max vs Kimi K2.7 head-to-head charts
Qwen3.8 Max leads 3 and Kimi K2.7 leads 0 of 3 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
ACB
DeepSWE
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.
How to read this comparison
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.