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.

Open live leaderboardKimi K2.7 model pageGemini 3.1 Pro model page
Rank #19 vs #24AskClash overall scores 56.8 vs 51.9.
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 Score56.851.9
Leaderboard Rank#19#24
RWT7.5—
Coding Agent Index—42.7
HLE54.051.4
GPQA90.594.3
SWE-bench80.280.6
SWE-Pro58.654.2
Terminal-Bench66.768.5
DeepSWE30.511.8
OSWorld73.1—
MCP Atlas76.069.2
Finance Agent44.943.0
CharXiv80.480.2
MMMU-Pro79.483.9
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 Published1316

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

Kimi K2.7 leads 7 and Gemini 3.1 Pro leads 5 of 12 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
56.8Kimi K2.7
51.9Gemini 3.1 Pro
HLE
54.0Kimi K2.7
51.4Gemini 3.1 Pro
GPQA
90.5Kimi K2.7
94.3Gemini 3.1 Pro
SWE-bench
80.2Kimi K2.7
80.6Gemini 3.1 Pro
SWE-Pro
58.6Kimi K2.7
54.2Gemini 3.1 Pro
Terminal-Bench
66.7Kimi K2.7
68.5Gemini 3.1 Pro
DeepSWE
30.5Kimi K2.7
11.8Gemini 3.1 Pro
MCP Atlas
76.0Kimi K2.7
69.2Gemini 3.1 Pro
Finance Agent
44.9Kimi K2.7
43.0Gemini 3.1 Pro
CharXiv
80.4Kimi K2.7
80.2Gemini 3.1 Pro
MMMU-Pro
79.4Kimi K2.7
83.9Gemini 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.

Claude Fable 5 vs Kimi K2.7Claude Fable 5 vs Gemini 3.1 ProGPT-5.6 Sol vs Kimi K2.7GPT-5.6 Sol vs Gemini 3.1 ProKimi K3 vs Kimi K2.7Kimi K3 vs Gemini 3.1 ProClaude Opus 4.8 vs Kimi K2.7Claude Opus 4.8 vs Gemini 3.1 ProGrok 4.5 vs Kimi K2.7Grok 4.5 vs Gemini 3.1 Pro

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.