DeepSeek: DeepSeek V4 Pro 0423 vs MoonshotAI: Kimi K2.6
As of 2026-10-19: On the un-leaked meo benchmark, DeepSeek: DeepSeek V4 Pro 0423 is the more accurate of the two (80.3% vs 66.9%), while DeepSeek: DeepSeek V4 Pro 0423 is cheaper per correct answer. Compared on accuracy, Effective Value (π), cost, speed, context, and pricing β all from the un-leaked meo benchmark.
| Metric | DeepSeek: DeepSeek V4 Pro 0423 | MoonshotAI: Kimi K2.6 |
|---|---|---|
| meo rank | #14 | #24 |
| Accuracy | 80.3% | 66.9% |
| π index (top=100) | 0.53 | 0.050 |
| $ / correct answer | $0.0182 | $0.0281 |
| Seconds / correct | 131 | 159 |
| Context window | 1.0M | 262K |
| Price out ($/M) | $1.91 | $3.41 |
| Open weights | Yes | Yes |
Green = the stronger value on that metric. π indexed to the leaderboard top = 100.
Frequently asked questions
Is DeepSeek: DeepSeek V4 Pro 0423 better than MoonshotAI: Kimi K2.6?
On accuracy, DeepSeek: DeepSeek V4 Pro 0423 leads (80.3% vs 66.9%). On Effective Value (π), which weights accuracy for deep agentic chains, DeepSeek: DeepSeek V4 Pro 0423 is ahead. βBetterβ depends on whether you optimize for accuracy, cost, or speed.
Which is cheaper, DeepSeek: DeepSeek V4 Pro 0423 or MoonshotAI: Kimi K2.6?
DeepSeek: DeepSeek V4 Pro 0423 costs less per correct answer ($0.0182 vs $0.0281), which already accounts for accuracy β a cheap-but-wrong model is penalized.
DeepSeek: DeepSeek V4 Pro 0423 vs MoonshotAI: Kimi K2.6 for agentic / coding work?
For long multi-step chains, rank by Effective Value (π): DeepSeek: DeepSeek V4 Pro 0423 leads here. Accuracy compounds across steps, so the more accurate model usually wins deep agentic work even if it is slower.
Full pages: DeepSeek: DeepSeek V4 Pro 0423 (DeepSeek) Β· MoonshotAI: Kimi K2.6 (Moonshot AI). More: all comparisons Β· full leaderboard Β· methodology.