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Llama 3.2 90B Instruct vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 6.3% higher average benchmark score. Llama 3.2 90B Instruct offers 62.5K more tokens in context window than o1-mini. Llama 3.2 90B Instruct is $14.25 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, o1-mini 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-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
13 days newer
o1-mini
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($14.25 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Llama 3.2 90B Instruct
Average Score:66.3%
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o1-mini
Average Score:72.6%(+6.3%)
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:66.3%
Providers:5
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o1-mini
Avg Score:72.6%(+6.3%)
Providers:2