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Gemini 1.0 Pro vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 3.8% higher average benchmark score. Mistral NeMo Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Mistral NeMo Instruct is $1.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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.
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Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
5 months newer
Gemini 1.0 Pro
2024-02-15
Mistral NeMo Instruct
Mistral AI
2024-07-18
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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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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($1.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 1.0 Pro
Average Score:71.8%(+3.8%)
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Mistral NeMo Instruct
Average Score:68.0%
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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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Mistral NeMo Instruct
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Gemini 1.0 Pro
Avg Score:71.8%(+3.8%)
Providers:1
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Mistral NeMo Instruct
Avg Score:68.0%
Providers:2