LLM Comparison

Kimi K3.1 Pro vs SWE-2: benchmark scores, pricing & comparison.

Side-by-side Kimi K3.1 Pro vs SWE-2 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 K3.1 Pro ranks higher (#4 vs #51) and wins 8 of 8 shared benchmarks; SWE-2 costs less ($0/$0 vs $2.00/$10.0 per 1M tokens).

Rank #4 vs #51AskClash overall scores 75.5 vs 58.0.
Pricing $2.00/$10.0 vs $0/$0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs Cognition.

Kimi K3.1 Pro vs SWE-2 benchmark comparison

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

MetricKimi K3.1 ProSWE-2
Overall Score75.558.0
Leaderboard Rank#4#51
ACB—60.0
RWT—8.5
Coding Agent Index—51.9
HLE70.043.5
GPQA94.293.5
SWE-Atlas—66.1
Terminal-Bench65.727.3
DeepSWE75.573.0
GDPval-AA1846.01668.0
MCP Atlas—84.2
Finance Agent58.654.4
CharXiv89.084.8
MMMU-Pro84.181.6
Input Price (per 1M tokens)$2.00$0
Output Price (per 1M tokens)$10.0$0
Context Window1M256K
Benchmarks Published913

Kimi K3.1 Pro vs SWE-2 head-to-head charts

Kimi K3.1 Pro leads 9 and SWE-2 leads 0 of 9 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3.1 ProSWE-2
Overall
75.5Kimi K3.1 Pro
58.0SWE-2
HLE
70.0Kimi K3.1 Pro
43.5SWE-2
GPQA
94.2Kimi K3.1 Pro
93.5SWE-2
Terminal-Bench
65.7Kimi K3.1 Pro
27.3SWE-2
DeepSWE
75.5Kimi K3.1 Pro
73.0SWE-2
GDPval-AA
1846.0Kimi K3.1 Pro
1668.0SWE-2
Finance Agent
58.6Kimi K3.1 Pro
54.4SWE-2
CharXiv
89.0Kimi K3.1 Pro
84.8SWE-2
MMMU-Pro
84.1Kimi K3.1 Pro
81.6SWE-2
Kimi K3.1 Pro
Input$2.00
Output$10.0
Workload$4.00
Context1M
SWE-2
Input$0
Output$0
Workload$0.00
Context256K

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

More Kimi K3.1 Pro and SWE-2 comparisons

Explore how Kimi K3.1 Pro and SWE-2 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.