LLM Comparison

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

Side-by-side Kimi K2.7 vs Gemini 3.1 Pro 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: Kimi K2.7 ranks higher (#46 vs #47); Gemini 3.1 Pro wins 4 of 6 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $2.00/$12.0 per 1M tokens).

Rank #46 vs #47AskClash overall scores 40.3 vs 40.2.
Pricing $0.95/$4.00 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Google.

Kimi K2.7 vs Gemini 3.1 Pro benchmark comparison

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

MetricKimi K2.7Gemini 3.1 Pro
Overall Score40.340.2
Leaderboard Rank#46#47
ACB43.0—
RWT7.5—
HLE35.051.4
GPQA89.694.3
IFEval63.1—
SWE-bench—80.6
SWE-Pro—54.2
DeepSWE30.511.7
GDPval-AA1040.51317.0
MCP Atlas76.069.2
Finance Agent—43.0
CharXiv—80.2
MMMU-Pro—83.9
ARC-AGI 2—77.1
Tau290.199.3
MRCR—84.9
Input Price (per 1M tokens)$0.95$2.00
Output Price (per 1M tokens)$4.00$12.0
Context Window256K1M
Benchmarks Published910

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

Kimi K2.7 leads 3 and Gemini 3.1 Pro leads 4 of 7 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K2.7Gemini 3.1 Pro
Overall
40.3Kimi K2.7
40.2Gemini 3.1 Pro
HLE
35.0Kimi K2.7
51.4Gemini 3.1 Pro
GPQA
89.6Kimi K2.7
94.3Gemini 3.1 Pro
DeepSWE
30.5Kimi K2.7
11.7Gemini 3.1 Pro
GDPval-AA
1040.5Kimi K2.7
1317.0Gemini 3.1 Pro
MCP Atlas
76.0Kimi K2.7
69.2Gemini 3.1 Pro
Tau2
90.1Kimi K2.7
99.3Gemini 3.1 Pro
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Kimi K2.7 and Gemini 3.1 Pro comparisons

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

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.