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Gemini 1.0 Pro vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 19.0% higher average benchmark score. Llama 3.2 3B Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Llama 3.2 3B Instruct is $1.97 cheaper per million tokens. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
7 months newer
Gemini 1.0 Pro
2024-02-15
Llama 3.2 3B Instruct
Meta
2024-09-25
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($1.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Gemini 1.0 Pro
Average Score:20.7%
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Llama 3.2 3B Instruct
Average Score:39.7%(+19.0%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Llama 3.2 3B Instruct
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Gemini 1.0 Pro
Avg Score:20.7%
Providers:1
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Llama 3.2 3B Instruct
Avg Score:39.7%(+19.0%)
Providers:1