LLM Reference

Llama 3.2 3B Instruct

Released
2024-09-25
Last refreshed
2026-05-22
Status
Researched 16d ago
Open SourceRAGLong 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
Training
finetuned
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.

Llama 3.2 3B Instruct is an open-source model in the Llama 3.2 family. The structured metadata tracks a 128k-token context window and structured outputs. This page tracks provider routes through Cloudflare Workers AI, OpenRouter, Fireworks AI, and 4 more, with the cheapest tracked route listed at $0.03 input and $0.05 output per 1M tokens. Headline tracked benchmarks include BFCL 21.9 and MMLU PRO 34.7.

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.

Provider price ladder

Compare all 7

Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Novita AI$0.030$0.050
Serverless
Fireworks AI$0.100$0.100
Serverless
AWS Bedrock$0.150$0.150
Serverless
Vercel AI Gateway$0.150$0.150
Serverless

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.
BenchmarkScoreVersionSource
BFCL21.9https://gorilla.cs.berkeley.edu/leaderboard.html
MMLU PRO34.7https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(10)