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GPT-5.6 Terra vs Kimi K2.6

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.6 Terra Cost
$4.40
Kimi K2.6 Cost
$1.75
Kimi K2.6 is 60% cheaper
FeatureGPT-5.6 TerraKimi K2.6
ProviderOpenAIMoonshot AI
Input Price (1M)$2.00$0.95
Output Price (1M)$12.00$4.00
Context Window1,000,000262,144

Verdict

GPT-5.6 Terra costs $2.00 per 1M input tokens and $12.00 per 1M output tokens. Kimi K2.6 costs $0.95 per 1M input tokens and $4.00 per 1M output tokens. Kimi K2.6 is 53% cheaper on input tokens than GPT-5.6 Terra. For output tokens, Kimi K2.6 is the more affordable option at $4.00/1M vs $12.00.

On context window, GPT-5.6 Terra 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 GPT-5.6 Terra

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

When to choose Kimi K2.6

  • ✓ You need the lowest input token cost ($ 0.95/1M)
  • ✓ Your workload is output-heavy — Kimi K2.6 generates text cheaper
  • ✓ 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-5.6 Terra cheaper than Kimi K2.6?

Kimi K2.6 is cheaper on input tokens at $0.95/1M vs $2.00/1M for GPT-5.6 Terra — a 53% saving.

What is the context window of GPT-5.6 Terra vs Kimi K2.6?

GPT-5.6 Terra has a 1,000,000-token context window. Kimi K2.6 has a 262,144-token context window. GPT-5.6 Terra supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.6 Terra or Kimi K2.6?

The best choice depends on your use case. For cost efficiency on input tokens, Kimi K2.6 is the cheaper option. For maximum context length, GPT-5.6 Terra supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.