LLM Comparison

Claude Opus 5 vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 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.

Rank #1 vs #30AskClash overall scores 94.2 vs 49.0.
Pricing $5.00/$25.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Moonshot AI.

Claude Opus 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 Opus 5Kimi K2.7
Overall Score94.249.0
Leaderboard Rank#1#30
RWT9.07.5
HLE64.754.0
GPQA90.5
SWE-bench96.080.2
SWE-Pro79.258.6
Terminal-Bench66.7
DeepSWE68.830.5
OSWorld73.1
MCP Atlas85.876.0
Finance Agent44.9
CharXiv80.4
MMMU-Pro79.4
ARC-AGI 290.4
Tau290.1
Input Price (per 1M tokens)$5.00$0.95
Output Price (per 1M tokens)$25.0$4.00
Context Window1M256K
Benchmarks Published814

Claude Opus 5 vs Kimi K2.7 head-to-head charts

Claude Opus 5 leads 7 and Kimi K2.7 leads 0 of 7 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5Kimi K2.7
Overall
94.2Claude Opus 5
49.0Kimi K2.7
RWT
9.0Claude Opus 5
7.5Kimi K2.7
HLE
64.7Claude Opus 5
54.0Kimi K2.7
SWE-bench
96.0Claude Opus 5
80.2Kimi K2.7
SWE-Pro
79.2Claude Opus 5
58.6Kimi K2.7
DeepSWE
68.8Claude Opus 5
30.5Kimi K2.7
MCP Atlas
85.8Claude Opus 5
76.0Kimi K2.7
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
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 Opus 5 and Kimi K2.7 comparisons

Explore how Claude Opus 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.