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Model vs model · live prices

DeepSeek V4.1 Flash vs Llama Guard 4 12B

DeepSeek V4.1 Flash is 1.2× cheaper than Llama Guard 4 12B at a 3:1 input:output mix ($0.147 vs $0.18 per million tokens).
Per 1M tokensDeepSeek: DeepSeek V4.1 FlashMeta: Llama Guard 4 12B
Input$0.03$0.18
Output$0.5$0.18
Blended 3:1$0.147$0.18
Context window1.0M164K
ReleasedSeptember 10, 2026April 30, 2025
Tools · reasoningTools · ReasoningNo tools · No 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.
WorkloadDeepSeek V4.1 FlashLlama Guard 4 12BDifference
1,000 chat messages
1,000 input + 500 output tokens each
$0.28$0.27$0.01
1,000 RAG questions
8,000 input + 500 output tokens each
$0.49$1.53$1.04
100 coding-agent steps
30,000 input + 2,000 output tokens each, no caching
$0.19$0.58$0.39

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 DeepSeek V4.1 Flash is good enough for a task, it saves $0.01 per thousand chat messages. A common setup is to route easy requests to the cheaper model and keep Llama Guard 4 12B 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