Meta model product
2 3B Instruct is a large language model that supports a context length of 128K tokens and are state-of-the-art in their class for on-device use cases like summarization, instruction following, and rewriting tasks running locally at the.
Updated Aug 17, 2026. Default version: Llama 3.2 3B Instruct
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Llama 3.2 3B Instruct.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkInfiniteBench/En.MC | Score63.3% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkInfiniteBench/En.QA | Score19.8% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkNIH/Multi-needle | Score84.7% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkOpen-rewrite | Score40.1% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkTLDR9+ (test) | Score19.0% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkBFCL v2 | Score67.0% | Rank04 | Participants5 | Percentile25.0% | EvidenceC | Evaluated |
| BenchmarkNexus | Score34.3% | Rank04 | Participants4 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkARC-C | Score78.6% | Rank17 | Participants34 | Percentile51.5% | EvidenceC | Evaluated |
| BenchmarkHellaSwag | Score69.8% | Rank24 | Participants27 | Percentile11.5% | EvidenceC | Evaluated |
| BenchmarkMGSM | Score58.2% | Rank27 | Participants31 | Percentile13.3% | EvidenceC | Evaluated |
| BenchmarkGSM8k | Score77.7% | Rank40 | Participants48 | Percentile17.0% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score77.4% | Rank57 | Participants67 | Percentile15.2% | EvidenceC | Evaluated |
| BenchmarkMATH | Score48.0% | Rank60 | Participants71 | Percentile15.7% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score63.4% | Rank96 | Participants101 | Percentile5.0% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score32.8% | Rank224 | Participants239 | Percentile6.3% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext | Categoryoverall | Rank334 | Rating / score1109.7 | Votes7,936 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank342 | Rating / score1166.4 | Votes7,936 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDmeta/llama-3.2-3b-instruct | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context32.8K | Updated |
| ProviderInference | Provider model IDmeta/llama-3.2-3b-instruct | Regionglobal | Input / 1M$0.02 | Output / 1M$0.02 | Context16K | Updated |
| ProviderNovitaAI | Provider model IDmeta-llama/llama-3.2-3b-instruct | Regionglobal | Input / 1M$0.03 | Output / 1M$0.05 | Context32.8K | Updated |
| ProviderLLM Gateway | Provider model IDllama-3.2-3b-instruct | Regionglobal | Input / 1M$0.03 | Output / 1M$0.05 | Context32.8K | Updated |
| ProviderNanoGPT | Provider model IDmeta-llama/llama-3.2-3b-instruct | Regionglobal | Input / 1M$0.0306 | Output / 1M$0.0493 | Context131.1K | Updated |
| ProviderOpenRouter | Provider model IDmeta-llama/llama-3.2-3b-instruct | Regionglobal | Input / 1M$0.05 | Output / 1M$0.33 | Context131.1K | Updated |
| ProviderCloudflare Workers AI | Provider model ID@cf/meta/llama-3.2-3b-instruct | Regionglobal | Input / 1M$0.0509 | Output / 1M$0.335 | Context80K | Updated |
| ProviderCloudflare AI Gateway | Provider model IDworkers-ai/@cf/meta/llama-3.2-3b-instruct | Regionglobal | Input / 1M$0.0509 | Output / 1M$0.335 | Context80K | Updated |
| ProviderPioneer | Provider model IDmeta-llama/Llama-3.2-3B | Regionglobal | Input / 1M$0.10 | Output / 1M$0.10 | Context131.1K | Updated |
| ProviderPioneer | Provider model IDmeta-llama/Llama-3.2-3B-Instruct | Regionglobal | Input / 1M$0.10 | Output / 1M$0.335 | Context131.1K | Updated |
| ProviderVenice AI | Provider model IDllama-3.2-3b | Regionglobal | Input / 1M$0.15 | Output / 1M$0.60 | Context128K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Llama 3.2 3B Instruct. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderDeepInfra | Output Speed171.5 tok/s | Catalog Latency0.24 s | Max Input128K | Max Output128K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionLlama 3.2 3B Instruct | Released | LLMBoard0.0 | Parameters3.2B | Context128K | Max output128K | Open weightsNo | LicenseLlama 3.2 Community License |
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Key information about Llama 3.2 3B and its available data.
2 3B Instruct is a large language model that supports a context length of 128K tokens and are state-of-the-art in their class for on-device use cases like summarization, instruction following, and rewriting tasks running locally at the edge.
Data as of 2026-08-17.
Common questions about Llama 3.2 3B.
Llama 3.2 3B's default version was released on Sep 25, 2024.
No official standard PAYG price is currently available for Llama 3.2 3B. The lowest tracked third-party offer starts at $0.02 input and $0.02 output via Inference.
Llama 3.2 3B was created by Meta.
The default version has a 128K token context window.
No. The default version is not marked as having publicly available weights.
11 provider offerings are linked to the default version.
Nearby ranked alternatives include DeepSeek-VL2, Gemma 3n E2B, Mistral NeMo.