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GPT-4 Turbo vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 2.0% higher average benchmark score. Llama 3.2 90B Instruct offers 123.9K more tokens in context window than GPT-4 Turbo. Llama 3.2 90B Instruct is $39.25 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. 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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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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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.
5 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Llama 3.2 90B Instruct
Meta
2024-09-25
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($39.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4 Turbo
Average Score:73.9%(+2.0%)
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Llama 3.2 90B Instruct
Average Score:71.9%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4 Turbo
Avg Score:73.9%(+2.0%)
Providers:2
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Llama 3.2 90B Instruct
Avg Score:71.9%
Providers:5