LLM Comparison

Kimi K3.1 Pro vs Claude Opus 4.8: benchmark scores, pricing & comparison.

Side-by-side Kimi K3.1 Pro vs Claude Opus 4.8 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: Kimi K3.1 Pro ranks higher (#4 vs #43) and wins 5 of 7 shared benchmarks; Kimi K3.1 Pro costs less ($2.00/$10.0 vs $5.00/$25.0 per 1M tokens).

Rank #4 vs #43AskClash overall scores 75.5 vs 59.5.
Pricing $2.00/$10.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Anthropic.

Kimi K3.1 Pro vs Claude Opus 4.8 benchmark comparison

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

MetricKimi K3.1 ProClaude Opus 4.8
Overall Score75.559.5
Leaderboard Rank#4#43
ACB—60.1
RWT—9.0
Coding Agent Index—72.5
HLE70.057.9
GPQA94.293.6
IFEval—62.2
SWE-bench—88.6
SWE-Pro—69.2
SWE-Atlas—82.5
Terminal-Bench65.721.7
DeepSWE75.559.0
GDPval-AA1846.01889.8
OSWorld—83.4
MCP Atlas—82.2
Finance Agent58.653.9
CharXiv89.089.9
MMMU-Pro84.1—
ARC-AGI 2—72.1
Tau2—94.4
Input Price (per 1M tokens)$2.00$5.00
Output Price (per 1M tokens)$10.0$25.0
Context Window1M1M
Benchmarks Published916

Kimi K3.1 Pro vs Claude Opus 4.8 head-to-head charts

Kimi K3.1 Pro leads 6 and Claude Opus 4.8 leads 2 of 8 shared benchmarks. Kimi K3.1 Pro is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3.1 ProClaude Opus 4.8
Overall
75.5Kimi K3.1 Pro
59.5Claude Opus 4.8
HLE
70.0Kimi K3.1 Pro
57.9Claude Opus 4.8
GPQA
94.2Kimi K3.1 Pro
93.6Claude Opus 4.8
Terminal-Bench
65.7Kimi K3.1 Pro
21.7Claude Opus 4.8
DeepSWE
75.5Kimi K3.1 Pro
59.0Claude Opus 4.8
GDPval-AA
1846.0Kimi K3.1 Pro
1889.8Claude Opus 4.8
Finance Agent
58.6Kimi K3.1 Pro
53.9Claude Opus 4.8
CharXiv
89.0Kimi K3.1 Pro
89.9Claude Opus 4.8
Kimi K3.1 Pro
Input$2.00
Output$10.0
Workload$4.00
Context1M
Claude Opus 4.8
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 K3.1 Pro and Claude Opus 4.8 comparisons

Explore how Kimi K3.1 Pro and Claude Opus 4.8 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.