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Llama 3.2 90B Instruct vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 13.2% higher average benchmark score. Llama 3.2 90B Instruct offers 95.2K more tokens in context window than o1-preview. Llama 3.2 90B Instruct is $74.25 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, o1-preview 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
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
13 days newer
o1-preview
OpenAI
2024-09-12
Llama 3.2 90B Instruct
Meta
2024-09-25
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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($74.25 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.2 90B Instruct
Average Score:71.9%
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o1-preview
Average Score:85.1%(+13.2%)
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:71.9%
Providers:5
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o1-preview
Avg Score:85.1%(+13.2%)
Providers:2