The Orchestrator › Models › Meta Llama
Meta Llama: Meta: Llama 3.2 3B Instruct
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Specifications
| Provider | Meta Llama |
| Model ID | meta-llama/llama-3.2-3b-instruct |
| Context window | 131K tokens (131,072) |
| Modalities | text → text |
| Tokenizer | Llama3 |
| Router sources | OpenRouter, TrustedRouter |
| Released | 2024-09-25 |
| Tracked since | 2026-11-14 |
| Popularity | Not in the ranked set |
| Reasoning | — |
Pricing (per million tokens)
| Variant | Source | API ID | Input | Output | Context |
|---|---|---|---|---|---|
| standard | OpenRouter | meta-llama/llama-3.2-3b-instruct | $0.051 | $0.335 | 131K |
| standard | TrustedRouter | meta-llama/llama-3.2-3b-instruct | $0.054 | $0.353 | 131K |
Recorded price history
| Date | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| 2026-11-14 | $0.054 | $0.353 | 131K |
| 2026-11-14 | $0.051 | $0.335 | 131K |
Capabilities
Structured outputsNo content storage (attested)Zero data retention
Trust flags come from TrustedRouter's per-provider attestations.
Supported parameters
frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, seed, stop, structured_outputs, temperature, top_k, top_logprobs, top_p