Llama 3.2 90B Instruct vs o1-preview
o1-preview significantly outperforms across most benchmarks. Llama 3.2 90B Instruct is 72.4x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
Llama 3.2 90B Instruct outperforms in 0 benchmarks, while o1-preview is better at 4 benchmarks (GPQA, MATH, MGSM, MMLU). o1-preview significantly outperforms across most benchmarks.
On price, Llama 3.2 90B Instruct is roughly 72.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Llama 3.2 90B Instruct
- cost matters — it's about 72.4x cheaper per token
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
Choose o1-preview
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.2 90B Instruct outperforms in 0 benchmarks, while o1-preview is better at 4 benchmarks (GPQA, MATH, MGSM, MMLU).
o1-preview significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.2 90B Instruct ($0.35/1M tokens) is 42.9x cheaper than o1-preview ($15.00/1M tokens).
For output processing, Llama 3.2 90B Instruct ($0.40/1M tokens) is 150.0x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview is more expensive than Llama 3.2 90B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Llama 3.2 90B Instruct can generate longer responses up to 128,000 tokens, while o1-preview is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Llama 3.2 90B Instruct supports multimodal inputs, whereas o1-preview does not.
Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.2 90B Instruct
o1-preview
License
Usage and distribution terms
Llama 3.2 90B Instruct is licensed under Llama 3.2, while o1-preview uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.2
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 3.2 90B Instruct was released on 2024-09-25, while o1-preview was released on 2024-09-12.
Llama 3.2 90B Instruct is 0 month newer than o1-preview.
Sep 25, 2024
1.9 years ago
1w newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic. o1-preview is available from OpenAI, Azure.
Llama 3.2 90B Instruct
o1-preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.2 90B Instruct and o1-preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.2 90B Instruct vs o1-preview.