Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 18.3% higher average benchmark score. Llama 3.2 90B Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Llama 3.2 90B Instruct is $1.25 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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.
7 months newer

Gemini 1.0 Pro
2024-02-15

Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)

Gemini 1.0 Pro

Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 5 common benchmarks

Gemini 1.0 Pro

Llama 3.2 90B Instruct
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics

Gemini 1.0 Pro

Llama 3.2 90B Instruct

Gemini 1.0 Pro

Llama 3.2 90B Instruct

Gemini 1.0 Pro

Llama 3.2 90B Instruct
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