LLM Comparison

Claude Sonnet 5.5 vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Claude Sonnet 5.5 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: Claude Sonnet 5.5 ranks higher (#6 vs #51) and wins 5 of 5 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $2.00/$10.0 per 1M tokens).

Rank #6 vs #51AskClash overall scores 73.7 vs 37.9.
Pricing $2.00/$10.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Moonshot AI.

Claude Sonnet 5.5 vs Kimi K2.7 benchmark comparison

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

MetricClaude Sonnet 5.5Kimi K2.7
Overall Score73.737.9
Leaderboard Rank#6#51
ACB76.643.0
RWT—7.5
HLE64.535.0
GPQA—89.6
IFEval—63.1
SWE-Pro81.3—
Terminal-Bench83.244.7
DeepSWE71.030.5
GDPval-AA1844.21025.0
MCP Atlas—76.0
Finance Agent58.1—
Tau2—90.1
Input Price (per 1M tokens)$2.00$0.95
Output Price (per 1M tokens)$10.0$4.00
Context Window1M256K
Benchmarks Published1010

Claude Sonnet 5.5 vs Kimi K2.7 head-to-head charts

Claude Sonnet 5.5 leads 6 and Kimi K2.7 leads 0 of 6 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Sonnet 5.5Kimi K2.7
Overall
73.7Claude Sonnet 5.5
37.9Kimi K2.7
ACB
76.6Claude Sonnet 5.5
43.0Kimi K2.7
HLE
64.5Claude Sonnet 5.5
35.0Kimi K2.7
Terminal-Bench
83.2Claude Sonnet 5.5
44.7Kimi K2.7
DeepSWE
71.0Claude Sonnet 5.5
30.5Kimi K2.7
GDPval-AA
1844.2Claude Sonnet 5.5
1025.0Kimi K2.7
Claude Sonnet 5.5
Input$2.00
Output$10.0
Workload$4.00
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 Claude Sonnet 5.5 and Kimi K2.7 comparisons

Explore how Claude Sonnet 5.5 and Kimi K2.7 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.