Kimi K3 vs DeepSeek V4 Pro: AI Model Comparison
Compare Kimi K3 and DeepSeek V4 Pro on 2.8T MoE reasoning, 93.5% GPQA, coding benchmarks, 199 tok/s speed, and token cost economics.
Kimi K3
by Moonshot AI
Moonshot AI's 2.8T MoE reasoning model designed for graduate-level scientific Q&A and long-context needle retrieval.
View model details
DeepSeek-V4 Pro
by DeepSeek
DeepSeek's 1.6T MoE coding powerhouse with 199 tok/s generation throughput and open weights.
View model detailsOur Pick: DeepSeek-V4 Pro
DeepSeek V4 Pro is the overall winner for software engineering, generation speed (199 tok/s), and pricing ($0.48/M); Kimi K3 wins for scientific research and 2.8T reasoning depth.
Benchmark Performance
Side-by-side results on major industry benchmarks (higher is better)
Feature Comparison
Compare core capabilities and tool support.
| Feature | Kimi K3 | DeepSeek-V4 Pro |
|---|---|---|
| Text & Code Generation | ||
| Image & Vision Understanding | ||
| Video & Audio Generation | ||
| Web Browsing / Search | ||
| Code Execution Environment | ||
| Autonomous Computer Use | ||
| Long Context Window | ||
| Multi-step Agentic Workflows | ||
| Custom Bots / Extensions | ||
| Fine-tuning |
Use Case Ratings
How each model performs in real-world scenarios (1-10).
| Use Case | Kimi K3 | DeepSeek-V4 Pro |
|---|---|---|
| Coding & Development | 9 | 9 |
| Writing & Content Creation | 9 | 9 |
| Research & Analysis | 10 | 9 |
| Creative Tasks | 9 | 8 |
| Data Analysis | 10 | 9 |
| Conversation & Nuance | 9 | 9 |
| Education & Tutoring | 10 | 9 |
| Math & Science | 10 | 9 |
| Summarization | 10 | 9 |
Pricing Comparison(Per 1M Tokens)
| Model | Input Tokens | Output Tokens | Blended Cost | Monthly (100M tokens) |
|---|---|---|---|---|
| Kimi K3 | $1.50 | $6.00 | ~$2.63 | ~$263 |
| DeepSeek-V4 Pro | $0.14 | $0.55 | ~$0.24 | ~$24 |
DeepSeek-V4 Pro is 91% cheaper
For the same performance tier, DeepSeek-V4 Pro offers exactly half the API cost of Kimi K3.
Pros & Cons
Kimi K3
- Exceptional scientific reasoning score (93.5% GPQA)
- Massive 2.8T MoE parameter scale for intricate multi-step proofs
- Outstanding Chinese-English bilingual translation and nuance
- 1.0M context window with high recall across long research papers
- Slower output generation rate (88 tok/s vs 199 tok/s for DeepSeek)
- 9x higher API pricing ($4.33/M vs $0.48/M blended)
DeepSeek-V4 Pro
- 2.26x faster generation throughput (199 tok/s vs 88 tok/s)
- 9x cheaper blended API pricing ($0.48/M vs $4.33/M)
- Higher SWE-Bench software engineering score (44.3% vs 43.1%)
- Higher LMSYS Arena community rating (1,980 vs 1,820)
- Lower score on academic scientific Q&A (68.5% vs 93.5% GPQA)
- Slightly smaller parameter capacity on complex domain synthesis
Frequently Asked Questions
Why is Kimi K3's GPQA score so much higher than DeepSeek's?
Moonshot AI trained Kimi K3 specifically on academic literature and scientific proofs using specialized synthetic reasoning chains, making it exceptionally strong at PhD-level research questions.
Can I run both models with Ollama or vLLM?
Yes. Both Kimi K3 and DeepSeek V4 Pro publish open weights that can be served locally via vLLM, SGLang, or llama.cpp.
Final Takeaway
Choose Kimi K3 for deep scientific reasoning, complex academic proofs, and advanced bilingual document synthesis. Choose DeepSeek V4 Pro for high-speed software development, CI/CD test automation, and maximum cost efficiency.
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