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-5.6 Sol vs Kimi K2.7: benchmark scores, pricing & comparison.
Side-by-side GPT-5.6 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-5.6 Sol ranks higher (#8 vs #42) and wins 7 of 8 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $5.00/$30.0 per 1M tokens).
Rank #8 vs #42AskClash overall scores 69.6 vs 41.6.
Pricing $5.00/$30.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Moonshot AI.
GPT-5.6 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-5.6 Sol | Kimi K2.7 |
|---|---|---|
| Overall Score | 69.6 | 41.6 |
| Leaderboard Rank | #8 | #42 |
| ACB | 63.2 | 43.0 |
| RWT | 9.5 | 7.5 |
| Coding Agent Index | 80.0 | — |
| HLE | 47.2 | 35.0 |
| GPQA | 94.1 | 89.6 |
| IFEval | 72.7 | 63.1 |
| SWE-Pro | 64.6 | — |
| SWE-Atlas | 84.0 | — |
| Terminal-Bench | 39.9 | — |
| DeepSWE | 72.7 | 30.5 |
| GDPval-AA | 1748.0 | 1040.1 |
| MCP Atlas | — | 76.0 |
| Finance Agent | 53.8 | — |
| MMMU-Pro | 83.0 | — |
| ARC-AGI 2 | 92.5 | — |
| Tau2 | 85.1 | 90.1 |
| MRCR | 91.5 | — |
| Input Price (per 1M tokens) | $5.00 | $0.95 |
| Output Price (per 1M tokens) | $30.0 | $4.00 |
| Context Window | 1M | 256K |
| Benchmarks Published | 15 | 9 |
GPT-5.6 Sol vs Kimi K2.7 head-to-head charts
GPT-5.6 Sol leads 8 and Kimi K2.7 leads 1 of 9 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GPT-5.6 SolKimi K2.7
Overall
ACB
RWT
HLE
GPQA
IFEval
DeepSWE
GDPval-AA
Tau2
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
Context1M
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-5.6 Sol and Kimi K2.7 comparisons
Explore how GPT-5.6 Sol and Kimi K2.7 stack up against other top-ranked LLMs.
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.