Meta: Llama 3.2 1B Instruct
Analysis Summary
Meta's Llama 3.2 1B Instruct is a small text-only model with a 60,000-token context window and pricing of 0.027 input and 0.201 output. Its measured reasoning, coding, instruction-following, and long-context results are limited, but the low cost can support simple classification, routing, and templated transformations.
No tool-use, function-calling, or vision capability is listed, so it cannot serve as a broad agency assistant without additional orchestration. The model may be useful where predictable low-cost processing matters more than nuanced language quality, provided outputs are constrained and checked. It is not suitable for complex SEO content, client-facing editorial work, autonomous agents, or technical delivery.
Assessed September 7, 2026
Editorial notes
Llama 3.2 1B Instruct is a very low-cost compact model with a 60K context, suited to simple local or high-volume text operations. Its measured reasoning and coding results are limited, with no listed tool or vision support.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3.2 1B Instruct is a very low-cost compact model with a 60K context, suited to simple local or high-volume text operations. Its measured reasoning and coding results are limited, with no listed tool or vision support.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
1.1 Intelligence Index
How Meta: Llama 3.2 1B Instruct compares
Meta: Llama 3.2 1B Instruct ranks #352 of 435 AI models we track for overall intelligence. Its 60K-token context window is larger than 26% of the models we list. At $0.03 per million input tokens it is cheaper than 79% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000027 |
| Output | $0.20 | $0.000201 |
What would Meta: Llama 3.2 1B Instruct cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Llama 3.2 1B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Llama 3.2 1B Instruct
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. Its smaller size allows it to operate..
Frequently asked questions about Meta: Llama 3.2 1B Instruct
How much does Meta: Llama 3.2 1B Instruct cost?
Meta: Llama 3.2 1B Instruct costs $0.03 per million input tokens and $0.20 per million output tokens.
What is the context window of Meta: Llama 3.2 1B Instruct?
Meta: Llama 3.2 1B Instruct has a context window of 60,000 tokens (60K).
Who created Meta: Llama 3.2 1B Instruct?
Meta: Llama 3.2 1B Instruct is developed by Meta and was released on September 25, 2024.