How much does Llama 3.2 1B Instruct cost?

Llama 3.2 1B Instruct costs $0.027/M input tokens and $0.201/M output tokens.

What is the context length of Llama 3.2 1B Instruct?

Llama 3.2 1B Instruct has a 60,000 token context window. It supports up to 60,000 completion tokens.

Does Llama 3.2 1B Instruct support tool calling and structured outputs?

No. Llama 3.2 1B Instruct does not accept tools, so function calling is unavailable. It does not support response_format, so JSON output is not enforced.

Which providers serve Llama 3.2 1B Instruct?

Llama 3.2 1B Instruct is served by 1 provider on OpenRouter: Cloudflare.

What other text models does Meta Llama have?

Llama Guard 4 12B, Llama 4 Maverick, Llama 4 Scout and 4 more are other text models from Meta Llama.

When was Llama 3.2 1B Instruct released?

Llama 3.2 1B Instruct was released on September 25, 2024. Its knowledge cutoff is December 31, 2023.

Meta: Llama 3.2 1B Instruct

Going away November 20, 2026

meta-llama/llama-3.2-1b-instruct

Model weights

Compare

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 efficiently in low-resource environments while maintaining strong task performance.

Supporting eight core languages and fine-tunable for more, Llama 1.3B is ideal for businesses or developers seeking lightweight yet powerful AI solutions that can operate in diverse multilingual settings without the high computational demand of larger models.

Click here for the original model card.

Usage of this model is subject to Meta's Acceptable Use Policy.

Modalities

In / out price

$0.027 / $0.201per 1M

Context

60K

Released

Sep 25, 2024

Knowledge cutoff

Dec 2023

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Latency / throughput


	$0.027	$0.201	0.15s	136 tok/s	100.00%

Input $0.027Output $0.201
136 tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.0242/M tokens

Output

$0.1932/M tokens

Llama 3.2 1B Instruct — Price history

Price history

No effective price data for this selection

		$0.0242	$0.193	0.0%	100.0%

Effective in $0.0242Effective out $0.193
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.94%

Availability over the last 3 days

Last 72 hours

Availability 99.94%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.92%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Meta: Llama 3.2 1B Instruct (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Llama 3.2 Instruct 1B GPQA Diamond	19.6%
Artificial Analysis	Llama 3.2 Instruct 1B HLE	5.5%
Artificial Analysis	Llama 3.2 Instruct 1B IFBench	22.8%
Artificial Analysis	Llama 3.2 Instruct 1B τ²-Bench Telecom	0.0%
Artificial Analysis	Llama 3.2 Instruct 1B AA-LCR	6.7%
Artificial Analysis	Llama 3.2 Instruct 1B CritPt	0.0%
Artificial Analysis	Llama 3.2 Instruct 1B LiveCodeBench	1.9%
Artificial Analysis	Llama 3.2 Instruct 1B Terminal-Bench Hard	0.0%
Artificial Analysis	Llama 3.2 Instruct 1B MMLU-Pro	20.0%
Artificial Analysis	Llama 3.2 Instruct 1B AIME 2025	0.0%
Artificial Analysis	Llama 3.2 Instruct 1B AIME	0.0%
Artificial Analysis	Llama 3.2 Instruct 1B MATH-500	14.0%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

GPTSwarm

new

11.2Mtokens

Conpi TEE Proxy

new

4.18Mtokens

Spin

new

3.62Mtokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

2.86Mtokens

Pseudocode Project

new

2.76Mtokens

Rest of OpenRouter

7.11M

Top 5 Apps

Not currently available through EU in-region routing. In-region routing docs

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Providers