LLM Comparison

DeepSeek V4 Pro 0813 vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Pro 0813 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 #17 vs #23AskClash overall scores 60.5 vs 51.8.
Pricing $0.43/$0.87 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightDeepSeek vs Moonshot AI.

DeepSeek V4 Pro 0813 vs Kimi K2.7 benchmark comparison

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

MetricDeepSeek V4 Pro 0813Kimi K2.7
Overall Score60.551.8
Leaderboard Rank#17#23
RWT7.07.5
HLE42.754.0
GPQA90.190.5
SWE-bench80.680.2
SWE-Pro55.458.6
Terminal-Bench87.966.7
DeepSWE62.730.5
OSWorld73.1
MCP Atlas73.676.0
Finance Agent44.9
CharXiv80.4
MMMU-Pro79.4
Tau290.1
Input Price (per 1M tokens)$0.43$0.95
Output Price (per 1M tokens)$0.87$4.00
Context Window1M256K
Benchmarks Published914

DeepSeek V4 Pro 0813 vs Kimi K2.7 head-to-head charts

DeepSeek V4 Pro 0813 leads 4 and Kimi K2.7 leads 5 of 9 shared benchmarks. DeepSeek V4 Pro 0813 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Pro 0813Kimi K2.7
Overall
60.5DeepSeek V4 Pro 0813
51.8Kimi K2.7
RWT
7.0DeepSeek V4 Pro 0813
7.5Kimi K2.7
HLE
42.7DeepSeek V4 Pro 0813
54.0Kimi K2.7
GPQA
90.1DeepSeek V4 Pro 0813
90.5Kimi K2.7
SWE-bench
80.6DeepSeek V4 Pro 0813
80.2Kimi K2.7
SWE-Pro
55.4DeepSeek V4 Pro 0813
58.6Kimi K2.7
Terminal-Bench
87.9DeepSeek V4 Pro 0813
66.7Kimi K2.7
DeepSWE
62.7DeepSeek V4 Pro 0813
30.5Kimi K2.7
MCP Atlas
73.6DeepSeek V4 Pro 0813
76.0Kimi K2.7
DeepSeek V4 Pro 0813
Input$0.43
Output$0.87
Workload$0.61
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 DeepSeek V4 Pro 0813 and Kimi K2.7 comparisons

Explore how DeepSeek V4 Pro 0813 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.