LLM Comparison

Claude Opus 4.8 vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 4.8 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 leaderboardClaude Opus 4.8 model pageKimi K2.7 model page
Rank #4 vs #19AskClash overall scores 80.4 vs 56.8.
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 4.8 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 4.8Kimi K2.7
Overall Score80.456.8
Leaderboard Rank#4#19
RWT9.07.5
Coding Agent Index72.5—
HLE57.954.0
GPQA93.690.5
IFEval62.2—
SWE-bench88.680.2
SWE-Pro69.258.6
SWE-Atlas82.5—
Terminal-Bench74.666.7
DeepSWE59.030.5
OSWorld83.473.1
MCP Atlas82.276.0
Finance Agent53.944.9
CharXiv89.980.4
MMMU-Pro—79.4
ARC-AGI 272.1—
Tau294.490.1
Input Price (per 1M tokens)$5.00$0.95
Output Price (per 1M tokens)$25.0$4.00
Context Window1M256K
Benchmarks Published1713

Claude Opus 4.8 vs Kimi K2.7 head-to-head charts

Claude Opus 4.8 leads 13 and Kimi K2.7 leads 0 of 13 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 4.8Kimi K2.7
Overall
80.4Claude Opus 4.8
56.8Kimi K2.7
RWT
9.0Claude Opus 4.8
7.5Kimi K2.7
HLE
57.9Claude Opus 4.8
54.0Kimi K2.7
GPQA
93.6Claude Opus 4.8
90.5Kimi K2.7
SWE-bench
88.6Claude Opus 4.8
80.2Kimi K2.7
SWE-Pro
69.2Claude Opus 4.8
58.6Kimi K2.7
Terminal-Bench
74.6Claude Opus 4.8
66.7Kimi K2.7
DeepSWE
59.0Claude Opus 4.8
30.5Kimi K2.7
OSWorld
83.4Claude Opus 4.8
73.1Kimi K2.7
MCP Atlas
82.2Claude Opus 4.8
76.0Kimi K2.7
Finance Agent
53.9Claude Opus 4.8
44.9Kimi K2.7
CharXiv
89.9Claude Opus 4.8
80.4Kimi K2.7
Claude Opus 4.8
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 4.8 and Kimi K2.7 comparisons

Explore how Claude Opus 4.8 and Kimi K2.7 stack up against other top-ranked LLMs.

Claude Fable 5 vs Claude Opus 4.8Claude Fable 5 vs Kimi K2.7GPT-5.6 Sol vs Claude Opus 4.8GPT-5.6 Sol vs Kimi K2.7Kimi K3 vs Claude Opus 4.8Kimi K3 vs Kimi K2.7Claude Opus 4.8 vs Grok 4.5Grok 4.5 vs Kimi K2.7Claude Opus 4.8 vs Muse Spark 1.1Muse Spark 1.1 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.