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
Gemini 3.7 Flash vs Kimi K2.7: benchmark scores, pricing & comparison.
Side-by-side Gemini 3.7 Flash 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: Gemini 3.7 Flash ranks higher (#37 vs #50); Kimi K2.7 costs less ($0.95/$4.00 vs $1.50/$7.50 per 1M tokens).
Rank #37 vs #50AskClash overall scores 47.2 vs 29.6.
Pricing $1.50/$7.50 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Moonshot AI.
Gemini 3.7 Flash 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 | Gemini 3.7 Flash | Kimi K2.7 |
|---|---|---|
| Overall Score | 47.2 | 29.6 |
| Leaderboard Rank | #37 | #50 |
| ACB | 38.9 | 43.0 |
| RWT | — | 7.5 |
| HLE | 53.6 | — |
| GPQA | 94.5 | — |
| DeepSWE | 65.3 | 30.5 |
| GDPval-AA | 1525.0 | — |
| MCP Atlas | — | 76.0 |
| CharXiv | 84.5 | — |
| MMMU-Pro | 85.5 | — |
| MRCR | 97.0 | — |
| Input Price (per 1M tokens) | $1.50 | $0.95 |
| Output Price (per 1M tokens) | $7.50 | $4.00 |
| Context Window | 1M | 256K |
| Benchmarks Published | 8 | 4 |
Gemini 3.7 Flash vs Kimi K2.7 head-to-head charts
Gemini 3.7 Flash leads 2 and Kimi K2.7 leads 1 of 3 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Gemini 3.7 FlashKimi K2.7
Overall
ACB
DeepSWE
Gemini 3.7 Flash
Input$1.50
Output$7.50
Workload$3.00
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 Gemini 3.7 Flash and Kimi K2.7 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.