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Meta · 2024-09-25

Llama 3.2 1B Instruct pricing

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis.

Prices from OpenRouter’s models API, updated October 29, 2026

Input$0.027per 1M tokens
Output$0.201per 1M tokens
Cached input–no cache price listed
Context60Ktext

What Llama 3.2 1B Instruct costs a month

WorkloadStandard
Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out$3.63
Daily summaries: 10,000 a day, 3,000 tokens in, 300 out$42.39
Coding agent: 400 calls a day, 60,000 tokens in (80% cached), 2,000 out$24.26

30 days. Cached input billed at the cache-read price. Use your own numbers.

Cheaper models with a similar context window

ModelProviderInput /1MOutput /1MCache read /1MContextChatbot, per month*
Extractscaledown$0.04$0–1M$1.80
Summarizescaledown$0.04$0–1M$1.80
Ling 3.0 Flashinclusionai$0.021$0.063$0.0042262K$1.70
Nex-N2.5-Mininex-agi$0.025$0.10$0.0025262K$2.33
GLM 5.3 FlashZ.ai$0.046$0.074$0.031.05M$2.95

* Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out, 30 days, no caching. Prices in US dollars per 1M tokens.

Cheaper isn’t automatically as good. Glow’s GlowBench scores models on your kind of task before suggesting a swap.

Other Llama models

ModelInput /1MOutput /1MCache read /1MContextChatbot, per month*
Muse Spark Open$1.25$4.25$0.151.05M$107
Muse Wonder$4$20$0.201.05M$420
Muse Spark 1.3$1.25$4.25$0.151.05M$107
Muse Spark 1.3 Contributor$0.10$0.20$0.0021.05M$6.90
Muse Spark 1.2 Contributor$0.10$0.20$0.0021.05M$6.90
Muse Glimmer 30B$0.30$1.20$0.04131K$27.90

* Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out, 30 days, no caching. Prices in US dollars per 1M tokens.

Related

Llama 3.2 1B Instruct: questions

How much does Llama 3.2 1B Instruct cost?

$0.027 per 1M input tokens and $0.201 per 1M output tokens. A 1,000-token prompt with a 500-token answer costs about $0.0001.

What is Llama 3.2 1B Instruct’s context window?

60,000 tokens, with up to 54,000 output tokens per response.

Is there a cheaper alternative to Llama 3.2 1B Instruct?

Extract costs $0.04 in and $0 out per 1M tokens with a similar context window. Whether it matches Llama 3.2 1B Instruct’s quality depends on the task: test it on your own prompts (Glow’s GlowBench does this per task).

Know what each model really costs you.

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