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Model vs model · live prices

Qwen3.8 Max Prime vs Kimi K3

Kimi K3 is 1.1× cheaper than Qwen3.8 Max Prime at a 3:1 input:output mix ($5.40 vs $6 per million tokens).
Per 1M tokensQwen: Qwen3.8 Max PrimeMoonshotAI: Kimi K3
Input$4$2.70
Output$12$13.50
Cached input$0.5$0.27
Blended 3:1$6$5.40
Context window1M1.0M
ReleasedSeptember 23, 2026July 16, 2026
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.
WorkloadQwen3.8 Max PrimeKimi K3Difference
1,000 chat messages
1,000 input + 500 output tokens each
$10.00$9.45$0.55
1,000 RAG questions
8,000 input + 500 output tokens each
$38.00$28.35$9.65
100 coding-agent steps
30,000 input + 2,000 output tokens each, no caching
$14.40$10.80$3.60

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 K3 is good enough for a task, it saves $0.55 per thousand chat messages. A common setup is to route easy requests to the cheaper model and keep Qwen3.8 Max Prime 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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