Specifications
Context Window
—
Input Price/1M
$1.38
Output Price/1M
$1.38
Parameters
—
Speed
49 tok/s
Latency (TTFT)
527ms
Benchmarks
Llama 3.2 Instruct 90B (Vision) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 24.0 | 100.0 | — |
| LiveCodeBench | 21.0 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 67.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 62.9 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 11.9 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 67.1 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 43.0 | 100.0 | Artificial Analysis official API |
| HLE | 5.0 | 100.0 | — |
Information
- Release date
- September 25, 2024
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Llama 3.2 Instruct 90B (Vision)
What is Llama 3.2 Instruct 90B (Vision)?
Llama 3.2 Instruct 90B (Vision) is an AI model developed by Meta, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Meta's cloud API.
Pricing & Costs in 2026
Llama 3.2 Instruct 90B (Vision) is usage-based, priced at $1.38/1M input tokens and $1.38/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Llama 3.2 Instruct 90B (Vision) was evaluated on 8 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Llama 3.2 Instruct 90B (Vision) specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Llama 3.2 Instruct 90B (Vision) competes directly with similarly capable models. As an open source model, it competes with Qwen (Alibaba), Mistral, and DeepSeek, as well as proprietary models like GPT, Claude, and Gemini. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Llama 3.2 Instruct 90B (Vision)?
Llama 3.2 Instruct 90B (Vision) is an AI model developed by Meta. It is a text model.
How much does Llama 3.2 Instruct 90B (Vision) cost?
Llama 3.2 Instruct 90B (Vision) costs $1.38/1M input tokens and $1.38/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Llama 3.2 Instruct 90B (Vision) compare with other models?
In available benchmarks, Llama 3.2 Instruct 90B (Vision) scored: SciCode: 24/100, LiveCodeBench: 21/100, MMLU-Pro: 67/100. See the full table above for a detailed comparison.
Is Llama 3.2 Instruct 90B (Vision) open source?
No, Llama 3.2 Instruct 90B (Vision) is a proprietary model from Meta. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Llama 3.2 Instruct 90B (Vision) best for?
Llama 3.2 Instruct 90B (Vision) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →