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Llama 3.2 90B Instruct vs o4-mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o4-mini offers 44.0K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $4.75 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
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OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
6 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
o4-mini
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($4.75 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Llama 3.2 90B Instruct
Average Score:38.6%
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o4-mini
Average Score:38.8%(+0.2%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 90B Instruct
5 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 24 tok/s
Latency: 0.5ms
Fireworks
Throughput: 50 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 42 tok/s
Latency: 0.5ms
Together
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Llama 3.2 90B Instruct
Avg Score:38.6%
Providers:5
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o4-mini
Avg Score:38.8%(+0.2%)
Providers:1