Llama 3.2 Instruct 90B (Vision) Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input PriceUpdated
USD per 1M tokens
Cache: $1.38 (-0%)
Output Price
Verbosity
Llama 3.2 Instruct 90B (Vision) is below average in intelligence and particularly expensive when comparing to other open weight non-reasoning models of similar size. The model supports image input, and has a 128k tokens context window with knowledge up to December 2023.
Llama 3.2 Instruct 90B (Vision) scores 12 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 13).
Pricing for Llama 3.2 Instruct 90B (Vision) is $1.38 per 1M input tokens (expensive, average: $0.20) and $1.38 per 1M output tokens (somewhat expensive, average: $0.56).
At 58 tokens per second, Llama 3.2 Instruct 90B (Vision) is slower than average (75).
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: image This information is still being updated |
| Output modality | Supports: This information is still being updated |
| Knowledge cutoff | Dec 1, 2023 |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 90B |
| License | LLAMA 3.2 COMMUNITY LICENSE AGREEMENT |
| Model weights | Hugging Face |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (ELO-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
PricingUpdated
Pricing: Cache Hit, Input, and Output
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Llama 3.2 Instruct 90B (Vision)
Llama 3.2 Instruct 90B (Vision) was released on September 25, 2024.
Llama 3.2 Instruct 90B (Vision) was created by Meta.
Llama 3.2 Instruct 90B (Vision) scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other open weight non-reasoning models of similar size (median: 13).
Llama 3.2 Instruct 90B (Vision) generates output at 57.8 tokens per second (based on the median across providers serving the model), which is below average compared to other open weight non-reasoning models of similar size (median: 75.0 t/s).
Llama 3.2 Instruct 90B (Vision) has a time to first token (TTFT) of 1.18s (based on the median across providers serving the model), which is better than average compared to other open weight non-reasoning models of similar size (median: 1.55s).
Llama 3.2 Instruct 90B (Vision) costs $1.38 per 1M input tokens (at the higher end, median: $0.45) and $1.38 per 1M output tokens (somewhat higher than average, median: $0.90), based on the median across providers serving the model.
Llama 3.2 Instruct 90B (Vision) costs $1.38 per 1M input tokens and $1.38 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $1.38 per 1M tokens. Pricing may vary by provider. Compare provider pricing
No, Llama 3.2 Instruct 90B (Vision) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Llama 3.2 Instruct 90B (Vision) supports image input.
Llama 3.2 Instruct 90B (Vision) supports text only output.
Yes, Llama 3.2 Instruct 90B (Vision) supports image input and can analyze, describe, and answer questions about images.
No, Llama 3.2 Instruct 90B (Vision) is not multimodal. It only supports image input.
Llama 3.2 Instruct 90B (Vision) has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Llama 3.2 Instruct 90B (Vision) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Llama 3.2 Instruct 90B (Vision) has 90 billion parameters.
Llama 3.2 Instruct 90B (Vision) is released under the LLAMA 3.2 COMMUNITY LICENSE AGREEMENT license. This license allows commercial use. View license
Llama 3.2 Instruct 90B (Vision) achieves a score of 12 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Llama 3.2 Instruct 90B (Vision) has a knowledge cutoff of December 2023. The model's training data includes information up to this date.
Llama 3.2 Instruct 90B (Vision) is an open weights model that can be self-hosted. View providers
Llama 3.2 Instruct 90B (Vision) is an open weights model that can be downloaded and self-hosted. Compare providers