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Model vs model · live prices

GPT-6.1 Sol vs Kimi K2 Thinking

Kimi K2 Thinking is 3.7× cheaper than GPT-6.1 Sol at a 3:1 input:output mix ($1.07 vs $4 per million tokens).
Per 1M tokensOpenAI: GPT-6.1 SolMoonshotAI: Kimi K2 Thinking
Input$2$0.6
Output$10$2.50
Cached input$0.1$0.15
Blended 3:1$4$1.07
Context window1.1M262K
ReleasedSeptember 29, 2026November 6, 2025
Tools · reasoningTools · ReasoningTools · Reasoning

List prices from OpenRouter, refreshed hourly. Lower price and larger context highlighted.

What the same work costs on each

At list price, before batch or caching discounts.
WorkloadGPT-6.1 SolKimi K2 ThinkingDifference
1,000 chat messages
1,000 input + 500 output tokens each
$7.00$1.85$5.15
1,000 RAG questions
8,000 input + 500 output tokens each
$21.00$6.05$14.95
100 coding-agent steps
30,000 input + 2,000 output tokens each, no caching
$8.00$2.30$5.70

Which one should you use?

Price is only half the decision: run both on a sample of your own prompts and compare quality, speed and failure rate. If Kimi K2 Thinking is good enough for a task, it saves $5.15 per thousand chat messages. A common setup is to route easy requests to the cheaper model and keep GPT-6.1 Sol for the hard ones.

Both are available behind one OpenAI-compatible key through OpenRouter or a reseller, so switching is a one-line change. See where credits cost least today and how to cut the token bill.

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