Llama 3.2 1B Instruct
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
- Family
- Llama 3.2
- Released
- 2024-09-25
- Context
- 128k
- Parameters
- 1.23B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-12
- Specialization
- general
- Training
- finetuned
Large-scale open-source AI for social technologies.
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-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 $0.027 input and $0.2 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 25.6, HellaSwag 78.9, and HumanEval 28.1.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ B1 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.
Provider price ladder
Compare all 7Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| AWS Bedrock | $0.100 | $0.100 | Serverless |
| Fireworks AI | $0.100 | $0.100 | Serverless |
| Vercel AI Gateway | $0.100 | $0.100 | Serverless |
| OpenRouter | $0.027 | $0.200 | Serverless |
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(6)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 25.6 | diamond | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HellaSwag | 78.9 | 10-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HumanEval | 28.1 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 49.3 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| BFCL | 10.8 | — | https://gorilla.cs.berkeley.edu/leaderboard.html |
| MMLU PRO | 20.0 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
Migration checks
No linked migration route is available for this model yet.