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Model vs model · live prices

Qwen3.8 Omni Flash vs Kimi K2.6

Qwen3.8 Omni Flash is 3.4× cheaper than Kimi K2.6 at a 3:1 input:output mix ($0.23 vs $0.783 per million tokens).
Per 1M tokensQwen: Qwen3.8 Omni FlashMoonshotAI: Kimi K2.6
Input$0.15$0.434
Output$0.47$1.83
Cached input$0.016$0.073
Blended 3:1$0.23$0.783
Context window1M262K
ReleasedSeptember 21, 2026April 20, 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 Omni FlashKimi K2.6Difference
1,000 chat messages
1,000 input + 500 output tokens each
$0.39$1.35$0.96
1,000 RAG questions
8,000 input + 500 output tokens each
$1.44$4.39$2.95
100 coding-agent steps
30,000 input + 2,000 output tokens each, no caching
$0.54$1.67$1.12

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 Qwen3.8 Omni Flash is good enough for a task, it saves $0.96 per thousand chat messages. A common setup is to route easy requests to the cheaper model and keep Kimi K2.6 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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Disclosure: this site is run by the team behind smaaart, one of the options compared. Tables are ranked by price only, from live quotes and published fees, including when smaaart isn't first. How we compare