Which is better: GPT-6.1 Sol or Kimi K3?

Verdict: GPT-6.1 Sol ranks higher (#6 vs #25) and wins 8 of 11 shared benchmarks; GPT-6.1 Sol costs less ($2.00/$10.0 vs $3.00/$15.0 per 1M tokens). AskClash compares GPT-6.1 Sol and Kimi K3 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 K3 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 K3 when publicly disclosed.

LLM Comparison

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

Side-by-side GPT-6.1 Sol vs Kimi K3 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 (#6 vs #25) and wins 8 of 11 shared benchmarks; GPT-6.1 Sol costs less ($2.00/$10.0 vs $3.00/$15.0 per 1M tokens).

Open live leaderboard GPT-6.1 Sol model page Kimi K3 model page

Rank #6 vs #25AskClash overall scores 72.5 vs 55.6.

Pricing $2.00/$10.0 vs $3.00/$15.0Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Moonshot AI.

GPT-6.1 Sol vs Kimi K3 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
Overall Score	72.5	55.6
Leaderboard Rank	#6	#25
ACB	69.9	57.7
RWT	—	8.0
Coding Agent Index	62.9	51.9
HLE	52.9	43.5
GPQA	95.0	93.5
SWE-Atlas	61.0	66.1
Terminal-Bench	56.1	12.6
DeepSWE	75.2	68.5
GDPval-AA	1575.1	1668.0
MCP Atlas	—	84.2
Finance Agent	52.0	53.1
CharXiv	—	84.8
MMMU-Pro	86.0	81.6
ARC-AGI 2	94.2	60.4
Input Price (per 1M tokens)	$2.00	$3.00
Output Price (per 1M tokens)	$10.0	$15.0
Context Window	1.05M	1M
Benchmarks Published	14	16

GPT-6.1 Sol vs Kimi K3 head-to-head charts

GPT-6.1 Sol leads 9 and Kimi K3 leads 3 of 12 shared benchmarks. GPT-6.1 Sol is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 SolKimi K3

Overall

72.5GPT-6.1 Sol

55.6Kimi K3

ACB

69.9GPT-6.1 Sol

57.7Kimi K3

Coding Agent Index

62.9GPT-6.1 Sol

51.9Kimi K3

HLE

52.9GPT-6.1 Sol

43.5Kimi K3

GPQA

95.0GPT-6.1 Sol

93.5Kimi K3

SWE-Atlas

61.0GPT-6.1 Sol

66.1Kimi K3

Terminal-Bench

56.1GPT-6.1 Sol

12.6Kimi K3

DeepSWE

75.2GPT-6.1 Sol

68.5Kimi K3

GDPval-AA

1575.1GPT-6.1 Sol

1668.0Kimi K3

Finance Agent

52.0GPT-6.1 Sol

53.1Kimi K3

MMMU-Pro

86.0GPT-6.1 Sol

81.6Kimi K3

ARC-AGI 2

94.2GPT-6.1 Sol

60.4Kimi K3

GPT-6.1 Sol

Input$2.00

Output$10.0

Workload$4.00

Context1.05M

Kimi K3

Input$3.00

Output$15.0

Workload$6.00

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 comparisons

Explore how GPT-6.1 Sol and Kimi K3 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs GPT-6.1 Sol Claude Opus 5.5 vs Kimi K3 Claude Fable 5.1 vs GPT-6.1 Sol Claude Fable 5.1 vs Kimi K3 Claude Opus 5 vs GPT-6.1 Sol Claude Opus 5 vs Kimi K3 Claude Sonnet 5.5 vs GPT-6.1 Sol Claude Sonnet 5.5 vs Kimi K3 Claude Fable 5 vs GPT-6.1 Sol Claude Fable 5 vs Kimi K3

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.