Model Library
MetaReleased September 25, 2024Llama 3.2 1B
Meta · Released September 25, 2024
Intelligence score
1
At a glance
- Intelligence
- 1
- Speed
- 85.1tokens/sec
- Latency
- 840mstime to first token
- Input price
- $0.05per 1M tokens
- Output price
- $0.05per 1M tokens
- Context window
- 130Ktokens
- Parameters
- 1billions
Summary
Comparison summary
Llama 3.2 Instruct 1B scores 1 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 3). Llama 3.2 Instruct 1B generates output at 85.1 tokens per second (based on the median across providers serving the model), which is above average compared to other open weight non-reasoning models of similar size (median: 85.1 t/s). Llama 3.2 Instruct 1B costs $0.05 per 1M input tokens (very competitive, median: $0.11) and $0.05 per 1M output tokens (very competitive, median: $0.28), based on the median across providers serving the model.
Specifications
Technical specifications
| Model name | Llama 3.2 1B |
|---|---|
| Provider | Meta |
| Release date | September 25, 2024 |
| Intelligence score | 1 |
| Speed | 85.1 tokens/sec |
| Latency (TTFT) | 0.84s |
| Input price | $0.05 / 1M tokens |
| Output price | $0.05 / 1M tokens |
| Context window | 130,000 tokens |
| Parameters | 1B |
| Reasoning | No |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | LLAMA 3 |
| API availability | — |
| Source | Model Intelligence legacy profile: llama-3-2-instruct-1b |
Pricing
Token prices
Price per 1M tokens
Llama 3.2 1B, as listed in the catalog record
- Input$0.05
- Output$0.05
| Token type | Price per 1M |
|---|---|
| Input | $0.05 |
| Output | $0.05 |
Model Intelligence legacy profile: llama-3-2-instruct-1b
FAQ · 20
Frequently asked questions
Llama 3.2 Instruct 1B was released on September 25, 2024.
Llama 3.2 Instruct 1B was created by Meta.
Llama 3.2 Instruct 1B scores 1 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 3).
Llama 3.2 Instruct 1B generates output at 85.1 tokens per second (based on the median across providers serving the model), which is above average compared to other open weight non-reasoning models of similar size (median: 85.1 t/s).
Llama 3.2 Instruct 1B has a time to first token (TTFT) of 0.84s (based on the median across providers serving the model), which is very competitive compared to other open weight non-reasoning models of similar size (median: 0.84s).
Llama 3.2 Instruct 1B costs $0.05 per 1M input tokens (very competitive, median: $0.11) and $0.05 per 1M output tokens (very competitive, median: $0.28), based on the median across providers serving the model.
Llama 3.2 Instruct 1B costs $0.05 per 1M input tokens and $0.05 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.05 per 1M tokens. Pricing may vary by provider.
No, Llama 3.2 Instruct 1B is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Llama 3.2 Instruct 1B supports text only input.
Llama 3.2 Instruct 1B supports text only output.
No, Llama 3.2 Instruct 1B does not support image input. It can only process text.
No, Llama 3.2 Instruct 1B is not multimodal. It only supports text only input.
Llama 3.2 Instruct 1B has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Llama 3.2 Instruct 1B is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Llama 3.2 Instruct 1B has 1 billion parameters.
Llama 3.2 Instruct 1B is released under the LLAMA 3.2 COMMUNITY LICENSE AGREEMENT license. This license allows commercial use.
Llama 3.2 Instruct 1B achieves a score of 1 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Llama 3.2 Instruct 1B has a knowledge cutoff of December 2023. The model's training data includes information up to this date.
Yes, Llama 3.2 Instruct 1B is available via API through 2 providers.
Llama 3.2 Instruct 1B is available through 2 API providers.