LLM Comparison

Kimi K3 vs DeepSeek V4.1 Flash: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 vs DeepSeek V4.1 Flash 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 ranks higher (#27 vs #30); DeepSeek V4.1 Flash wins 3 of 5 shared benchmarks; DeepSeek V4.1 Flash costs less ($0.15/$0.60 vs $3.00/$15.0 per 1M tokens).

Rank #27 vs #30AskClash overall scores 52.1 vs 51.5.
Pricing $3.00/$15.0 vs $0.15/$0.60Input and output token prices per 1M tokens when published.
Open Weight vs APIMoonshot AI vs DeepSeek.

Kimi K3 vs DeepSeek V4.1 Flash benchmark comparison

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

MetricKimi K3DeepSeek V4.1 Flash
Overall Score52.151.5
Leaderboard Rank#27#30
ACB57.763.0
RWT8.0—
HLE43.536.8
GPQA93.590.9
Terminal-Bench12.626.8
DeepSWE68.574.2
GDPval-AA1668.0—
MCP Atlas84.2—
Finance Agent53.1—
CharXiv84.8—
MMMU-Pro81.6—
Input Price (per 1M tokens)$3.00$0.15
Output Price (per 1M tokens)$15.0$0.60
Context Window1M1M
Benchmarks Published115

Kimi K3 vs DeepSeek V4.1 Flash head-to-head charts

Kimi K3 leads 3 and DeepSeek V4.1 Flash leads 3 of 6 shared benchmarks. DeepSeek V4.1 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3DeepSeek V4.1 Flash
Overall
52.1Kimi K3
51.5DeepSeek V4.1 Flash
ACB
57.7Kimi K3
63.0DeepSeek V4.1 Flash
HLE
43.5Kimi K3
36.8DeepSeek V4.1 Flash
GPQA
93.5Kimi K3
90.9DeepSeek V4.1 Flash
Terminal-Bench
12.6Kimi K3
26.8DeepSeek V4.1 Flash
DeepSWE
68.5Kimi K3
74.2DeepSeek V4.1 Flash
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
DeepSeek V4.1 Flash
Input$0.15
Output$0.60
Workload$0.27
Context1M

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

More Kimi K3 and DeepSeek V4.1 Flash comparisons

Explore how Kimi K3 and DeepSeek V4.1 Flash 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.