Meta model product
2 11B Vision Instruct is an instruction-tuned multimodal large language model optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.
Updated Aug 17, 2026. Default version: Llama 3.2 11B Instruct
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Llama 3.2 11B Instruct.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkVQAv2 (test) | Score75.2% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkAI2D | Score91.1% | Rank11 | Participants33 | Percentile68.8% | EvidenceC | Evaluated |
| BenchmarkChartQA | Score83.4% | Rank16 | Participants26 | Percentile40.0% | EvidenceC | Evaluated |
| BenchmarkMGSM | Score68.9% | Rank22 | Participants31 | Percentile30.0% | EvidenceC | Evaluated |
| BenchmarkDocVQA | Score88.4% | Rank23 | Participants28 | Percentile18.5% | EvidenceC | Evaluated |
| BenchmarkMathVista | Score51.5% | Rank36 | Participants39 | Percentile7.9% | EvidenceC | Evaluated |
| BenchmarkMATH | Score51.9% | Rank53 | Participants71 | Percentile25.7% | EvidenceC | Evaluated |
| BenchmarkMMMU | Score50.7% | Rank58 | Participants63 | Percentile8.1% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score33.0% | Rank67 | Participants68 | Percentile1.5% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score73.0% | Rank78 | Participants101 | Percentile23.0% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score32.8% | Rank223 | Participants239 | Percentile6.7% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision | Categoryoverall | Rank135 | Rating / score966.5 | Votes4,817 | ObservationsN/A | Result date |
| Arenavision style control | Categoryoverall | Rank137 | Rating / score992.9 | Votes4,817 | 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 |
|---|
| ProviderLLM Gateway | Provider model IDllama-3.2-11b-instruct | Regionglobal | Input / 1M$0.07 | Output / 1M$0.33 | 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 11B Instruct. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderTogether | Output Speed168 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderFireworks | Output Speed125 tok/s | Catalog Latency0.2 s | Max Input128K | Max Output128K | Updated |
| ProviderDeepInfra | Output Speed108 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderSambanova | Output Speed100 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderBedrock | Output Speed100 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderGroq | Output Speed100 tok/s | Catalog Latency0.5 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 11B Instruct | Released | LLMBoard0.0 | Parameters10.6B | Context128K | Max output128K | Open weightsNo | LicenseLlama 3.2 Community License |
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Key information about Llama 3.2 11B and its available data.
2 11B Vision Instruct is an instruction-tuned multimodal large language model optimized for visual recognition, image reasoning, captioning, and answering general questions about an image. It accepts text and images as input and generates text as output.
Data as of 2026-08-17.
Common questions about Llama 3.2 11B.
Llama 3.2 11B's default version was released on Sep 25, 2024.
No official standard PAYG price is currently available for Llama 3.2 11B. The lowest tracked third-party offer starts at $0.07 input and $0.33 output via LLM Gateway.
Llama 3.2 11B 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.
1 provider offerings are linked to the default version.
Nearby ranked alternatives include North Micro Vision, Phi 3.5 vision, IBM Granite 4.0 Tiny.