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Gemini 1.0 Pro vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 36.4% higher average benchmark score. Llama 3.1 70B Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Llama 3.1 70B Instruct is $1.60 cheaper per million tokens. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B 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 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
5 months newer
Gemini 1.0 Pro
2024-02-15
Llama 3.1 70B Instruct
Meta
2024-07-23
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 3.1 70B Instruct
Input:$0.20
Output:$0.20($1.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemini 1.0 Pro
Average Score:17.4%
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Llama 3.1 70B Instruct
Average Score:53.8%(+36.4%)
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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 3.1 70B Instruct
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Gemini 1.0 Pro
Avg Score:17.4%
Providers:1
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Llama 3.1 70B Instruct
Avg Score:53.8%(+36.4%)
Providers:9