DeepSeek V4 Pro 0813 versus Kimi K3
DeepSeek V4 Pro 0813 (DeepSeek) and Kimi K3 (Moonshot AI) compared point by point: measured performance, pricing, context and capabilities.
Data as of October 22, 2026
Side-by-side comparison
| Criterion | DeepSeek V4 Pro 0813 | Kimi K3 |
|---|---|---|
| Developer | DeepSeek | Moonshot AI |
| Released | August 13, 2026 | July 16, 2026 |
| Capability index | 72.2 / 100 | 80.7 / 100 |
| Input price | $0.66 | $3 |
| Output price | $1.98 | $15 |
| Cost of a typical task | $0.017 | $0.09 |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Maximum output | 393,216 tokens | 1,048,576 tokens |
| Reasoning mode | Yes | Yes |
| Tool calling | Yes | Yes |
| Accepted inputs | text | text, image, video |
| Open weights | Yes | Yes |
| Knowledge cutoff | Not disclosed | Not disclosed |
Two models head to head
This comparison pits two open-weight models that you can install on your own servers against each other: DeepSeek V4 Pro 0813 and Kimi K3, one from DeepSeek, the other from Moonshot AI. The first dates from August 13, 2026, the second from July 16, 2026.
All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.
What the benchmarks say
On our capability index, DeepSeek V4 Pro 0813 scores 72.2 out of 100 and Kimi K3 80.7. Kimi K3 leads by 8.5 points.
On the 5 benchmarks reported for both, DeepSeek V4 Pro 0813 wins 1 time and Kimi K3 4:
- GPQA Diamond (PhD-level science questions): DeepSeek V4 Pro 0813 91.7%, Kimi K3 93.1%
- OTIS Mock AIME (competition mathematics problems): DeepSeek V4 Pro 0813 98.6%, Kimi K3 97.2%
- FrontierMath (very hard research-level mathematics): DeepSeek V4 Pro 0813 64.6%, Kimi K3 72.2%
- FrontierCode (advanced programming tasks): DeepSeek V4 Pro 0813 28.6%, Kimi K3 44.2%
- APEX-Agents (professional tasks carried out by an agent): DeepSeek V4 Pro 0813 47.3%, Kimi K3 47.8%
Which one costs less?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Kimi K3 costs $3 and $15.
For a typical agent task (read 20,000 tokens, write 2,000), expect $0.017 with DeepSeek V4 Pro 0813 versus $0.09 with Kimi K3. DeepSeek V4 Pro 0813 is 5.2 times cheaper, a gap that adds up quickly over 1,000 tasks: $72.84 difference.
Run the numbers with your own volumes in the agent cost calculator.
Context and capabilities
Both models have the same context window: 1,048,576 tokens, roughly 1,573 pages.
Reasoning mode: DeepSeek V4 Pro 0813 yes, Kimi K3 yes. Tool calling: DeepSeek V4 Pro 0813 yes, Kimi K3 yes. Image input: DeepSeek V4 Pro 0813 no, Kimi K3 yes.
Both publish their weights: you can host them yourself.
In short
Our reading of the data:
- Choose DeepSeek V4 Pro 0813 for a lower cost.
- Choose Kimi K3 for a higher capability index and image input.
This verdict relies on public figures; it does not replace a trial on your own tasks.
Other comparisons
Frequently asked questions
DeepSeek V4 Pro 0813 or Kimi K3: which is better?
On our index (Epoch AI data), DeepSeek V4 Pro 0813 scores 72.2 and Kimi K3 80.7 out of 100. The best choice also depends on price and on your use case.
Which one is cheaper?
DeepSeek V4 Pro 0813. To read 20,000 tokens and write 2,000, expect $0.017 with DeepSeek V4 Pro 0813 and $0.09 with Kimi K3 (prices as of October 22, 2026).
Which one has the larger context window?
Neither: both accept 1,048,576 tokens.
Can I run DeepSeek V4 Pro 0813 or Kimi K3 on my own servers?
Yes, both publish their weights. Check each license before commercial use.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
Data as of October 22, 2026
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