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Kimi K3 vs DeepSeek R1

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Kimi K3 Cost
$6.00
DeepSeek R1 Cost
$0.36
DeepSeek R1 is 94% cheaper
FeatureKimi K3DeepSeek R1
ProviderMoonshot AIDeepSeek
Input Price (1M)$3.00$0.28
Output Price (1M)$15.00$0.42
Context Window1,000,00064,000

Verdict

Kimi K3 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. DeepSeek R1 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. DeepSeek R1 is 91% cheaper on input tokens than Kimi K3. For output tokens, DeepSeek R1 is the more affordable option at $0.42/1M vs $15.00.

On context window, Kimi K3 supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose Kimi K3

  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Moonshot AI

When to choose DeepSeek R1

  • ✓ You need the lowest input token cost ($ 0.28/1M)
  • ✓ Your workload is output-heavy — DeepSeek R1 generates text cheaper
  • ✓ You are already integrated with DeepSeek

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is Kimi K3 cheaper than DeepSeek R1?

DeepSeek R1 is cheaper on input tokens at $0.28/1M vs $3.00/1M for Kimi K3 — a 91% saving.

What is the context window of Kimi K3 vs DeepSeek R1?

Kimi K3 has a 1,000,000-token context window. DeepSeek R1 has a 64,000-token context window. Kimi K3 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Kimi K3 or DeepSeek R1?

The best choice depends on your use case. For cost efficiency on input tokens, DeepSeek R1 is the cheaper option. For maximum context length, Kimi K3 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.