Llama 3.2 Instruct 1B Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: This information is still being updated |
| Output modality | This information is still being updated |
| Knowledge cutoff | Dec 1, 2023 |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 1B |
| License | LLAMA 3.2 COMMUNITY LICENSE AGREEMENT |
| Model weights | Hugging Face |
Llama 3.2 Instruct 1B is among the least intelligent models and particularly expensive when comparing to other open weight non-reasoning models of similar size. It's also slower than average and somewhat verbose. The model has a 128k tokens context window with knowledge up to December 2023.
Llama 3.2 Instruct 1B scores 6 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 8). When evaluating the Intelligence Index, it generated 7.6M tokens, which is somewhat verbose in comparison to the average of 5.7M.
Pricing for Llama 3.2 Instruct 1B is $0.10 per 1M input tokens (expensive, average: $0.00) and $0.10 per 1M output tokens (expensive, average: $0.00). In total, it cost $4.36 to evaluate Llama 3.2 Instruct 1B on the Intelligence Index.
At 87 tokens per second, Llama 3.2 Instruct 1B is slower than average (87).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Llama 3.2 Instruct 1B API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Comparisons to Llama 3.2 1B
Llama 3.2 1B
gpt-oss-20B (high)
gpt-oss-120B (high)
GPT-5.2 (xhigh)
GPT-5.4 (xhigh)
GPT-5.4 Pro (xhigh)
GPT-5.3 Codex (xhigh)
Llama 4 Maverick
Gemini 3.1 Flash-Lite Preview
Gemini 3.1 Pro Preview
Gemini 3 Flash
Claude 4.5 Haiku
Claude Sonnet 4.6 (max)
Claude Opus 4.6 (max)
Mistral Large 3DeepSeek V3.2
Grok 4.20 Beta 0309
Grok 4.1 Fast
Nova 2.0 Pro Preview (medium)
MiniMax-M2.5
NVIDIA Nemotron 3 Super
NVIDIA Nemotron 3 Nano
Kimi K2.5
K-EXAONEMiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 ProGLM-5
Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about Llama 3.2 Instruct 1B
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 6 on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 8).
Llama 3.2 Instruct 1B generates output at 87.1 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: 87.1 t/s).
Llama 3.2 Instruct 1B has a time to first token (TTFT) of 0.85s (based on the median across providers serving the model), which is better than average compared to other open weight non-reasoning models of similar size (median: 0.89s).
Llama 3.2 Instruct 1B costs $0.10 per 1M input tokens (very competitive, median: $0.11) and $0.10 per 1M output tokens (very competitive, median: $0.26), based on the median across providers serving the model.
Llama 3.2 Instruct 1B costs $0.10 per 1M input tokens and $0.10 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.10 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Llama 3.2 Instruct 1B generated 7.6M output tokens, which is somewhat higher than average compared to other open weight non-reasoning models of similar size (median: 5.7M).
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. View license
Llama 3.2 Instruct 1B achieves a score of 6 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. Compare API providers
Llama 3.2 Instruct 1B is available through 2 API providers. Compare providers