LLM Comparison

Kimi K3 vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 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.

Rank #3 vs #19AskClash overall scores 82.3 vs 56.6.
Pricing $3.00/$15.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMoonshot AI vs Moonshot AI.

Kimi K3 vs Kimi K2.7 benchmark comparison

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

MetricKimi K3Kimi K2.7
Overall Score82.356.6
Leaderboard Rank#3#19
RWT7.5
HLE43.554.0
GPQA93.590.5
SWE-bench80.2
SWE-Pro58.6
Terminal-Bench88.366.7
DeepSWE67.530.5
OSWorld73.1
MCP Atlas84.276.0
Finance Agent44.9
CharXiv84.880.4
MMMU-Pro81.679.4
Tau290.1
Input Price (per 1M tokens)$3.00$0.95
Output Price (per 1M tokens)$15.0$4.00
Context Window1M256K
Benchmarks Published913

Kimi K3 vs Kimi K2.7 head-to-head charts

Kimi K3 leads 7 and Kimi K2.7 leads 1 of 8 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3Kimi K2.7
Overall
82.3Kimi K3
56.6Kimi K2.7
HLE
43.5Kimi K3
54.0Kimi K2.7
GPQA
93.5Kimi K3
90.5Kimi K2.7
Terminal-Bench
88.3Kimi K3
66.7Kimi K2.7
DeepSWE
67.5Kimi K3
30.5Kimi K2.7
MCP Atlas
84.2Kimi K3
76.0Kimi K2.7
CharXiv
84.8Kimi K3
80.4Kimi K2.7
MMMU-Pro
81.6Kimi K3
79.4Kimi K2.7
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
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 Kimi K3 and Kimi K2.7 comparisons

Explore how Kimi K3 and Kimi K2.7 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.