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Llama 3.2 90B Instruct vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 30.0% higher average benchmark score. o3 offers 44.0K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $9.25 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. Overall, o3 is the stronger choice for coding tasks.
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Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
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OpenAI
o3 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
6 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
o3
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($9.25 cheaper)
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o3
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.2 90B Instruct
Average Score:52.4%
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o3
Average Score:82.4%(+30.0%)
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Knowledge Cutoff
Training data recency comparison
o3
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:52.4%
Providers:5
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o3
Avg Score:82.4%(+30.0%)
Providers:1