LLM Reference

Llama 3.2 1B Instruct

Released
2024-09-25
Last refreshed
2026-07-09
Status
Researched 60d ago
Open weightsCommercial use: conditionalCodingRAGLong contextClassificationJSON / Tool use

Llama 3.2 1B Instruct is worth evaluating for coding, rag, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, rag, and long context
  • 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
1.23B
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
$0.100
Input / 1M
$0.100

Cheapest of 7 routes · AWS Bedrock

About

Llama 3.2 1B Instruct is Meta's Llama 3.2 model. It offers a 128K-token context window with weights openly available for self-hosting and scores 25.6 on GPQA.

Llama 3.2 1B Instruct is an open-weight 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 $0.027 input and $0.2 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 25.6, HellaSwag 78.9, and HumanEval 28.1.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ B

1 relevant benchmark in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Capabilities

Structured Outputs

Benchmark peer barsfor Coding

Benchmark scores(6)

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
Google-Proof Q&A25.6diamondObserved 2026-03-06Source
HellaSwag78.910-shotObserved 2026-03-06Source
HumanEval28.1pass@1Observed 2026-03-06Source
Massive Multitask Language Understanding49.35-shotObserved 2026-03-06Source
BFCL10.8Observed 2026-04-14Source
MMLU PRO20.0Observed 2026-04-14Source

Migration checks

No linked migration route is available for this model yet.

Compare Llama 3.2 1B Instruct with other models

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Frequently asked questions

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

Llama 3.2 1B Instruct has a context window of 128k tokens.

How much does Llama 3.2 1B Instruct cost?

Llama 3.2 1B Instruct pricing ranges from $0.027/1M to $0.15/1M input tokens depending on the provider.

When was Llama 3.2 1B Instruct released?

Llama 3.2 1B Instruct was released on 2024-09-25.

Which providers offer Llama 3.2 1B Instruct?

Llama 3.2 1B Instruct is available from 7 providers: Cloudflare Workers AI, OpenRouter, Fireworks AI, NVIDIA NIM, Bitdeer AI, AWS Bedrock, Vercel AI Gateway.

What benchmarks has Llama 3.2 1B Instruct been tested on?

Llama 3.2 1B Instruct has been evaluated on 6 benchmarks, including Google-Proof Q&A, HellaSwag, HumanEval, Massive Multitask Language Understanding, BFCL.