Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 Exp vs Kimi K2 0711
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 Exp wins on 3/3 benchmarks
DeepSeek V3.2 Exp wins 3 of 3 shared benchmarks. Leads in coding · knowledge.
Category leads
coding·DeepSeek V3.2 Expknowledge·DeepSeek V3.2 Exp
Hype vs Reality
Attention vs performance
DeepSeek V3.2 Exp
#80 by perf·no signal
Kimi K2 0711
#63 by perf·no signal
Best value
DeepSeek V3.2 Exp
4.0x better value than Kimi K2 0711
DeepSeek V3.2 Exp
156.5 pts/$
$0.34/M
Kimi K2 0711
39.2 pts/$
$1.43/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
moonshotai
private · undisclosed
Head to head
3 benchmarks · 2 models
DeepSeek V3.2 ExpKimi K2 0711
Aider polyglot
DeepSeek V3.2 Exp leads by +15.1
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
DeepSeek V3.2 Exp
74.2
Kimi K2 0711
59.1
Fiction.LiveBench
DeepSeek V3.2 Exp leads by +22.2
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
DeepSeek V3.2 Exp
83.3
Kimi K2 0711
61.1
WeirdML
DeepSeek V3.2 Exp leads by +0.1
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
DeepSeek V3.2 Exp
39.5
Kimi K2 0711
39.4
Full benchmark table
| Benchmark | DeepSeek V3.2 Exp | Kimi K2 0711 |
|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 74.2 | 59.1 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 83.3 | 61.1 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 39.5 | 39.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.27 | $0.41 | 164K tokens (~82 books) | $3.05 | |
| $0.57 | $2.30 | 131K tokens (~66 books) | $10.03 |