AI 모델 인텔리전스

Llama 3.2 3B Instruct (free)

meta/llama-3-2-3b-instruct-free

제공: Meta · 패밀리: llama · 출시 2024-09-25 · 지식 컷오프: 2023-12

미공개
입력 / 1M 토큰
미공개
출력 / 1M 토큰
131K
컨텍스트 창
131K
최대 출력

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

기능

도구 호출추론? 구조화 출력첨부오픈 웨이트온도 제어
모달리티: 입력 text, image · 출력 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding3
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output10
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context36
  • Context window (100K → 2M)36/90
  • Has published price for full window0/10
Vision68
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price0/10
  • Provider availability1/10
Production-readiness45
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

1곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
OpenRouter
openrouter
meta-llama/llama-3.2-3b-instruct:freeUnknownUnknown131K2024-09-25

Frequently asked questions

How much does Llama 3.2 3B Instruct (free) cost?

Llama 3.2 3B Instruct (free) does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check Meta's official pricing page for the most current rates.

What is the context window of Llama 3.2 3B Instruct (free)?

Llama 3.2 3B Instruct (free) has a context window of 131K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.

Does Llama 3.2 3B Instruct (free) support tool calling?

No. Llama 3.2 3B Instruct (free) does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Llama 3.2 3B Instruct (free) support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Llama 3.2 3B Instruct (free) in our data source. Verify with Meta's official documentation before relying on it in production.

Can Llama 3.2 3B Instruct (free) accept image input?

Yes. Llama 3.2 3B Instruct (free) accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Meta's docs for the exact rule.

Is Llama 3.2 3B Instruct (free) open-weight?

Yes. Llama 3.2 3B Instruct (free)'s weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Llama 3.2 3B Instruct (free)?

If Llama 3.2 3B Instruct (free) doesn't fit, consider Meta-Llama-3.1-8B-Instruct, Llama-3.3-70B-Instruct, Llama 4 Maverick 17B 128E Instruct FP8. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

마지막 업데이트:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.