LLM Comparison

Kimi K3 vs Claude Opus 4.7: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 vs Claude Opus 4.7 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 #5 vs #6AskClash overall scores 76.4 vs 76.3.
Pricing $3.00/$15.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Anthropic.

Kimi K3 vs Claude Opus 4.7 benchmark comparison

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

MetricKimi K3Claude Opus 4.7
Overall Score76.476.3
Leaderboard Rank#5#6
RWT8.08.5
Coding Agent Index50.3
HLE43.554.7
GPQA93.594.2
SWE-bench87.6
SWE-Pro64.3
Terminal-Bench88.369.4
DeepSWE68.5
OSWorld78.0
MCP Atlas84.277.3
Finance Agent54.464.4
CharXiv84.891.0
MMMU-Pro81.675.2
ARC-AGI 275.8
Tau288.6
Input Price (per 1M tokens)$3.00$5.00
Output Price (per 1M tokens)$15.0$25.0
Context Window1M1M
Benchmarks Published1114

Kimi K3 vs Claude Opus 4.7 head-to-head charts

Kimi K3 leads 4 and Claude Opus 4.7 leads 5 of 9 shared benchmarks. Kimi K3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3Claude Opus 4.7
Overall
76.4Kimi K3
76.3Claude Opus 4.7
RWT
8.0Kimi K3
8.5Claude Opus 4.7
HLE
43.5Kimi K3
54.7Claude Opus 4.7
GPQA
93.5Kimi K3
94.2Claude Opus 4.7
Terminal-Bench
88.3Kimi K3
69.4Claude Opus 4.7
MCP Atlas
84.2Kimi K3
77.3Claude Opus 4.7
Finance Agent
54.4Kimi K3
64.4Claude Opus 4.7
CharXiv
84.8Kimi K3
91.0Claude Opus 4.7
MMMU-Pro
81.6Kimi K3
75.2Claude Opus 4.7
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
Claude Opus 4.7
Input$5.00
Output$25.0
Workload$10
Context1M

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

More Kimi K3 and Claude Opus 4.7 comparisons

Explore how Kimi K3 and Claude Opus 4.7 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.