LLM Reference

Llama 3.2 3B Instruct

Released
2024-09-25
Last refreshed
2026-07-09
Status
Researched 105d ago
Open weightsCommercial use: conditionalRAGLong contextClassificationJSON / Tool use

Llama 3.2 3B Instruct is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 128k context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
Llama 3.2
Released
2024-09-25
Context
128k
Parameters
3.21B
Architecture
Decoder Only
Knowledge cutoff
2023-12
Specialization
general
Openness
Open weights
License
Llama 3 CommunityCommercial use: conditional
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.050
Input / 1M
$0.030

Cheapest of 7 routes · Novita AI

About

Llama 3.2 3B Instruct is Meta's Llama 3.2 model. It offers a 128K-token context window with weights openly available for self-hosting and scores 34.7 on MMLU PRO.

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Q/$ A

1 relevant benchmark in the decision map.

Capabilities

Structured Outputs

Benchmark peer barsfor Classification

Benchmark scores(2)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
BFCL21.9Observed 2026-04-14Source
MMLU PRO34.7Observed 2026-04-14Source

Migration checks

No linked migration route is available for this model yet.