LLM Comparison

Gemini 3.1 Pro vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.1 Pro 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.

Open live leaderboardGemini 3.1 Pro model pageKimi K2.7 model page
Rank #24 vs #30AskClash overall scores 52.3 vs 49.0.
Pricing $2.00/$12.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Moonshot AI.

Gemini 3.1 Pro vs Kimi K2.7 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGemini 3.1 ProKimi K2.7
Overall Score52.349.0
Leaderboard Rank#24#30
RWT—7.5
Coding Agent Index30.3—
HLE51.454.0
GPQA94.390.5
SWE-bench80.680.2
SWE-Pro54.258.6
Terminal-Bench68.566.7
DeepSWE11.830.5
OSWorld—73.1
MCP Atlas69.276.0
Finance Agent43.044.9
CharXiv80.280.4
MMMU-Pro83.979.4
ARC-AGI 277.1—
Tau299.390.1
MRCR84.9—
Input Price (per 1M tokens)$2.00$0.95
Output Price (per 1M tokens)$12.0$4.00
Context Window1M256K
Benchmarks Published1614

Gemini 3.1 Pro vs Kimi K2.7 head-to-head charts

Gemini 3.1 Pro leads 6 and Kimi K2.7 leads 6 of 12 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.1 ProKimi K2.7
Overall
52.3Gemini 3.1 Pro
49.0Kimi K2.7
HLE
51.4Gemini 3.1 Pro
54.0Kimi K2.7
GPQA
94.3Gemini 3.1 Pro
90.5Kimi K2.7
SWE-bench
80.6Gemini 3.1 Pro
80.2Kimi K2.7
SWE-Pro
54.2Gemini 3.1 Pro
58.6Kimi K2.7
Terminal-Bench
68.5Gemini 3.1 Pro
66.7Kimi K2.7
DeepSWE
11.8Gemini 3.1 Pro
30.5Kimi K2.7
MCP Atlas
69.2Gemini 3.1 Pro
76.0Kimi K2.7
Finance Agent
43.0Gemini 3.1 Pro
44.9Kimi K2.7
CharXiv
80.2Gemini 3.1 Pro
80.4Kimi K2.7
MMMU-Pro
83.9Gemini 3.1 Pro
79.4Kimi K2.7
Tau2
99.3Gemini 3.1 Pro
90.1Kimi K2.7
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
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 3.1 Pro and Kimi K2.7 comparisons

Explore how Gemini 3.1 Pro and Kimi K2.7 stack up against other top-ranked LLMs.

Claude Opus 5 vs Gemini 3.1 ProClaude Opus 5 vs Kimi K2.7Claude Fable 5 vs Gemini 3.1 ProClaude Fable 5 vs Kimi K2.7GPT-5.6 Sol vs Gemini 3.1 ProGPT-5.6 Sol vs Kimi K2.7Claude Opus 4.8 vs Gemini 3.1 ProClaude Opus 4.8 vs Kimi K2.7Claude Opus 4.7 vs Gemini 3.1 ProClaude Opus 4.7 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.