Which is better: GPT-6.1 Sol or Kimi K2.7?

Verdict: GPT-6.1 Sol ranks higher (#30 vs #52) and wins 2 of 2 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $2.00/$10.0 per 1M tokens). AskClash compares GPT-6.1 Sol and Kimi K2.7 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do GPT-6.1 Sol and Kimi K2.7 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-6.1 Sol and Kimi K2.7 when publicly disclosed.

LLM Comparison

GPT-6.1 Sol vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol 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.

Verdict: GPT-6.1 Sol ranks higher (#30 vs #52) and wins 2 of 2 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard GPT-6.1 Sol model page Kimi K2.7 model page

Rank #30 vs #52AskClash overall scores 58.1 vs 37.8.

Pricing $2.00/$10.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Moonshot AI.

GPT-6.1 Sol vs Kimi K2.7 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 K2.7
Overall Score	58.1	37.8
Leaderboard Rank	#30	#52
ACB	61.9	43.0
RWT	—	7.5
HLE	—	35.0
GPQA	—	89.6
IFEval	—	63.1
Terminal-Bench	—	44.7
DeepSWE	75.2	30.5
GDPval-AA	—	1025.0
MCP Atlas	—	76.0
Tau2	—	90.1
Input Price (per 1M tokens)	$2.00	$0.95
Output Price (per 1M tokens)	$10.0	$4.00
Context Window	1.05M	256K
Benchmarks Published	3	10

GPT-6.1 Sol vs Kimi K2.7 head-to-head charts

GPT-6.1 Sol leads 3 and Kimi K2.7 leads 0 of 3 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 SolKimi K2.7

Overall

58.1GPT-6.1 Sol

37.8Kimi K2.7

ACB

61.9GPT-6.1 Sol

43.0Kimi K2.7

DeepSWE

75.2GPT-6.1 Sol

30.5Kimi K2.7

GPT-6.1 Sol

Input$2.00

Output$10.0

Workload$4.00

Context1.05M

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 GPT-6.1 Sol and Kimi K2.7 comparisons

Explore how GPT-6.1 Sol and Kimi K2.7 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-6.1 Sol Claude Fable 5.1 vs Kimi K2.7 Claude Opus 5.5 vs GPT-6.1 Sol Claude Opus 5.5 vs Kimi K2.7 Claude Fable 5 vs GPT-6.1 Sol Claude Fable 5 vs Kimi K2.7 Claude Opus 5 vs GPT-6.1 Sol Claude Opus 5 vs Kimi K2.7 GPT-5.6 Sol vs GPT-6.1 Sol GPT-5.6 Sol 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.