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Kimi K3 vs Mistral Small 4

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Kimi K3 Cost
$6.00
Mistral Small 4 Cost
$0.27
Mistral Small 4 is 96% cheaper
FeatureKimi K3Mistral Small 4
ProviderMoonshot AIMistral
Input Price (1M)$3.00$0.15
Output Price (1M)$15.00$0.60
Context Window1,000,000131,000

Verdict

Kimi K3 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. Mistral Small 4 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens. Mistral Small 4 is 95% cheaper on input tokens than Kimi K3. For output tokens, Mistral Small 4 is the more affordable option at $0.60/1M 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 Mistral Small 4

  • ✓ You need the lowest input token cost ($ 0.15/1M)
  • ✓ Your workload is output-heavy — Mistral Small 4 generates text cheaper
  • ✓ You are already integrated with Mistral

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 Mistral Small 4?

Mistral Small 4 is cheaper on input tokens at $0.15/1M vs $3.00/1M for Kimi K3 — a 95% saving.

What is the context window of Kimi K3 vs Mistral Small 4?

Kimi K3 has a 1,000,000-token context window. Mistral Small 4 has a 131,000-token context window. Kimi K3 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Kimi K3 or Mistral Small 4?

The best choice depends on your use case. For cost efficiency on input tokens, Mistral Small 4 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.