Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 vs Kimi K2 0711
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 wins on 2/2 benchmarks
DeepSeek V3.2 wins 2 of 2 shared benchmarks. Leads in coding.
Category leads
coding·DeepSeek V3.2
Hype vs Reality
Attention vs performance
DeepSeek V3.2
#84 by perf·no signal
Kimi K2 0711
#63 by perf·no signal
Best value
DeepSeek V3.2
4.3x better value than Kimi K2 0711
DeepSeek V3.2
168.3 pts/$
$0.32/M
Kimi K2 0711
39.2 pts/$
$1.43/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
moonshotai
private · undisclosed
Head to head
2 benchmarks · 2 models
DeepSeek V3.2Kimi K2 0711
Aider polyglot
DeepSeek V3.2 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
74.2
Kimi K2 0711
59.1
Terminal Bench
DeepSeek V3.2 leads by +11.8
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
DeepSeek V3.2
39.6
Kimi K2 0711
27.8
Full benchmark table
| Benchmark | DeepSeek V3.2 | 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 |
Terminal Bench Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence. | 39.6 | 27.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.25 | $0.38 | 131K tokens (~66 books) | $2.83 | |
| $0.57 | $2.30 | 131K tokens (~66 books) | $10.03 |