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GPT-5 mini vs Kimi K2.5

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5 mini Cost
$0.65
Kimi K2.5 Cost
$1.20
GPT-5 mini is 46% cheaper
FeatureGPT-5 miniKimi K2.5
ProviderOpenAIMoonshot AI
Input Price (1M)$0.25$0.60
Output Price (1M)$2.00$3.00
Context Window128,000262,144

Verdict

GPT-5 mini costs $0.25 per 1M input tokens and $2.00 per 1M output tokens. Kimi K2.5 costs $0.60 per 1M input tokens and $3.00 per 1M output tokens. GPT-5 mini is 58% cheaper on input tokens than Kimi K2.5. For output tokens, GPT-5 mini is the more affordable option at $2.00/1M vs $3.00.

On context window, Kimi K2.5 supports 262,144 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 GPT-5 mini

  • ✓ You need the lowest input token cost ($ 0.25/1M)
  • ✓ Your workload is output-heavy — GPT-5 mini generates text cheaper
  • ✓ You are already integrated with OpenAI

When to choose Kimi K2.5

  • ✓ You need a larger context window (262,144 tokens)
  • ✓ You are already integrated with Moonshot AI

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 GPT-5 mini cheaper than Kimi K2.5?

GPT-5 mini is cheaper on input tokens at $0.25/1M vs $0.60/1M for Kimi K2.5 — a 58% saving.

What is the context window of GPT-5 mini vs Kimi K2.5?

GPT-5 mini has a 128,000-token context window. Kimi K2.5 has a 262,144-token context window. Kimi K2.5 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5 mini or Kimi K2.5?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-5 mini is the cheaper option. For maximum context length, Kimi K2.5 supports 262,144 tokens. Use the comparison table above to find the right fit for your workload.