Meta model product
2 90B is a large multimodal language model from Meta for visual recognition, image reasoning, and captioning.
Updated Sep 8, 2026. Default version: Llama 3.2 90B Instruct
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Llama 3.2 90B Instruct.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkInfographicsQA | Score56.80% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkVQAv2 | Score78.10% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAI2D | Score92.30% | Rank10 | Participants34 | Percentile72.73% | EvidenceC | Evaluated |
| BenchmarkTextVQA | Score73.50% | Rank12 | Participants16 | Percentile26.67% | EvidenceC | Evaluated |
| BenchmarkChartQA | Score85.50% | Rank13 | Participants26 | Percentile52.00% | EvidenceC | Evaluated |
| BenchmarkMGSM | Score86.90% | Rank14 | Participants31 | Percentile56.67% | EvidenceC | Evaluated |
| BenchmarkDocVQA | Score90.10% | Rank21 | Participants28 | Percentile25.93% | EvidenceC | Evaluated |
| BenchmarkMathVista | Score57.30% | Rank29 | Participants39 | Percentile26.32% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score86.00% | Rank33 | Participants101 | Percentile68.00% | EvidenceC | Evaluated |
| BenchmarkMATH | Score68.00% | Rank44 | Participants71 | Percentile38.57% | EvidenceC | Evaluated |
| BenchmarkMMMU | Score60.30% | Rank45 | Participants64 | Percentile30.16% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score45.20% | Rank63 | Participants69 | Percentile8.82% | EvidenceC | Evaluated |
| BenchmarkLM Arena Vision Style Control | Score1,032.50 rating | Rank99 | Participants107 | Percentile7.55% | EvidenceA | Evaluated |
| BenchmarkLM Arena Vision | Score999.65 rating | Rank100 | Participants107 | Percentile6.60% | EvidenceA | Evaluated |
| BenchmarkGPQA | Score46.70% | Rank200 | Participants247 | Percentile19.11% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision | Categorychinese | Rank89 | Rating / score951.37 | Votes393 | ObservationsN/A | Result date |
| Arenavision style control | Categorychinese | Rank89 | Rating / score1,003.14 | Votes393 | ObservationsN/A | Result date |
| Arenavision style control | Categoryoverall | Rank99 | Rating / score1,032.50 | Votes8,682 | ObservationsN/A | Result date |
| Arenavision | Categoryenglish | Rank100 | Rating / score1,012.81 | Votes4,630 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank100 | Rating / score999.65 | Votes8,682 | ObservationsN/A | Result date |
| Arenavision style control | Categoryenglish | Rank100 | Rating / score1,039.04 | Votes4,630 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no current input or output token prices.
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 90B Instruct. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderDeepInfra | Output Speed24.00 tok/s | Catalog Latency0.50 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 90B Instruct | Released | LLMBoard9.31 | Parameters90B | Context128K | Max output128K | Open weightsYes | LicenseLlama 3.2 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Llama 3.2 90B and its available data.
2 90B is a large multimodal language model from Meta with a 128,000-token context length. It is designed for deployment on edge and mobile devices and supports image understanding and generative tasks.
Data as of 2026-09-08.
Common questions about Llama 3.2 90B.
Llama 3.2 90B's default version was released on Sep 25, 2024.
No official standard PAYG price is currently available for Llama 3.2 90B.
Llama 3.2 90B was created by Meta.
The default version has a 128K token context window.
Yes. The default version is marked as open weight under Llama 3.2.
No provider offering is currently linked to the default version.