Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GPT-6.1 Sol vs Kimi K3.1 Pro: benchmark scores, pricing & comparison.
Side-by-side GPT-6.1 Sol vs Kimi K3.1 Pro 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: GPT-6.1 Sol ranks higher (#8 vs #9); Kimi K3.1 Pro wins 5 of 7 shared benchmarks.
Rank #8 vs #9AskClash overall scores 69.8 vs 68.4.
Pricing $2.00/$10.0 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Moonshot AI.
GPT-6.1 Sol vs Kimi K3.1 Pro benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-6.1 Sol | Kimi K3.1 Pro |
|---|---|---|
| Overall Score | 69.8 | 68.4 |
| Leaderboard Rank | #8 | #9 |
| ACB | 69.9 | — |
| Coding Agent Index | 62.9 | — |
| HLE | 52.9 | 70.0 |
| GPQA | 95.0 | 94.2 |
| SWE-Atlas | 61.0 | — |
| Terminal-Bench | 56.1 | 67.2 |
| DeepSWE | 75.2 | 75.5 |
| GDPval-AA | 1575.1 | 1845.7 |
| Finance Agent | 52.0 | 58.6 |
| CharXiv | — | 89.0 |
| MMMU-Pro | 86.0 | 84.1 |
| ARC-AGI 2 | 94.2 | — |
| Input Price (per 1M tokens) | $2.00 | $2.00 |
| Output Price (per 1M tokens) | $10.0 | $10.0 |
| Context Window | 1.05M | 1M |
| Benchmarks Published | 14 | 11 |
GPT-6.1 Sol vs Kimi K3.1 Pro head-to-head charts
GPT-6.1 Sol leads 3 and Kimi K3.1 Pro leads 5 of 8 shared benchmarks. Charts show only benchmarks both models publish.
GPT-6.1 SolKimi K3.1 Pro
Overall
HLE
GPQA
Terminal-Bench
DeepSWE
GDPval-AA
Finance Agent
MMMU-Pro
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M
Kimi K3.1 Pro
Input$2.00
Output$10.0
Workload$4.00
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GPT-6.1 Sol and Kimi K3.1 Pro comparisons
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How to read this comparison
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.