LLM Comparison

Kimi K3.1 Pro vs GPT-6.1 Sol: benchmark scores, pricing & comparison.

Side-by-side Kimi K3.1 Pro vs GPT-6.1 Sol 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 #11) and wins 5 of 7 shared benchmarks.

Rank #4 vs #11AskClash overall scores 75.5 vs 69.7.
Pricing $2.00/$10.0 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs OpenAI.

Kimi K3.1 Pro vs GPT-6.1 Sol benchmark comparison

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

MetricKimi K3.1 ProGPT-6.1 Sol
Overall Score75.569.7
Leaderboard Rank#4#11
ACB—69.9
Coding Agent Index—62.9
HLE70.052.9
GPQA94.295.0
SWE-Atlas—61.0
Terminal-Bench65.756.1
DeepSWE75.575.2
GDPval-AA1846.01575.1
Finance Agent58.652.0
CharXiv89.0—
MMMU-Pro84.186.0
ARC-AGI 2—94.2
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$10.0$10.0
Context Window1M1.05M
Benchmarks Published914

Kimi K3.1 Pro vs GPT-6.1 Sol head-to-head charts

Kimi K3.1 Pro leads 6 and GPT-6.1 Sol leads 2 of 8 shared benchmarks. Charts show only benchmarks both models publish.

Kimi K3.1 ProGPT-6.1 Sol
Overall
75.5Kimi K3.1 Pro
69.7GPT-6.1 Sol
HLE
70.0Kimi K3.1 Pro
52.9GPT-6.1 Sol
GPQA
94.2Kimi K3.1 Pro
95.0GPT-6.1 Sol
Terminal-Bench
65.7Kimi K3.1 Pro
56.1GPT-6.1 Sol
DeepSWE
75.5Kimi K3.1 Pro
75.2GPT-6.1 Sol
GDPval-AA
1846.0Kimi K3.1 Pro
1575.1GPT-6.1 Sol
Finance Agent
58.6Kimi K3.1 Pro
52.0GPT-6.1 Sol
MMMU-Pro
84.1Kimi K3.1 Pro
86.0GPT-6.1 Sol
Kimi K3.1 Pro
Input$2.00
Output$10.0
Workload$4.00
Context1M
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M

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

More Kimi K3.1 Pro and GPT-6.1 Sol comparisons

Explore how Kimi K3.1 Pro and GPT-6.1 Sol 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.