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Kimi K3 vs GPT-5.4 Pro

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Kimi K3 Cost
$6.00
GPT-5.4 Pro Cost
$66.00
Kimi K3 is 91% cheaper
FeatureKimi K3GPT-5.4 Pro
ProviderMoonshot AIOpenAI
Input Price (1M)$3.00$30.00
Output Price (1M)$15.00$180.00
Context Window1,000,0001,050,000

Verdict

Kimi K3 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. GPT-5.4 Pro costs $30.00 per 1M input tokens and $180.00 per 1M output tokens. Kimi K3 is 90% cheaper on input tokens than GPT-5.4 Pro. For output tokens, Kimi K3 is the more affordable option at $15.00/1M vs $180.00.

On context window, GPT-5.4 Pro supports 1,050,000 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 the lowest input token cost ($ 3.00/1M)
  • ✓ Your workload is output-heavy — Kimi K3 generates text cheaper
  • ✓ You are already integrated with Moonshot AI

When to choose GPT-5.4 Pro

  • ✓ You need a larger context window (1,050,000 tokens)
  • ✓ You are already integrated with OpenAI

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 GPT-5.4 Pro?

Kimi K3 is cheaper on input tokens at $3.00/1M vs $30.00/1M for GPT-5.4 Pro — a 90% saving.

What is the context window of Kimi K3 vs GPT-5.4 Pro?

Kimi K3 has a 1,000,000-token context window. GPT-5.4 Pro has a 1,050,000-token context window. GPT-5.4 Pro supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Kimi K3 or GPT-5.4 Pro?

The best choice depends on your use case. For cost efficiency on input tokens, Kimi K3 is the cheaper option. For maximum context length, GPT-5.4 Pro supports 1,050,000 tokens. Use the comparison table above to find the right fit for your workload.