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Gemini 1.0 Pro vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
Ministral 8B Instruct leads with 14.5% higher average benchmark score. Ministral 8B Instruct offers 215.0K more tokens in context window than Gemini 1.0 Pro. Ministral 8B Instruct is $1.80 cheaper per million tokens. Overall, Ministral 8B 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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Mistral AI
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
8 months newer
Gemini 1.0 Pro
2024-02-15
Ministral 8B Instruct
Mistral AI
2024-10-16
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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Ministral 8B Instruct
Input:$0.10
Output:$0.10($1.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Gemini 1.0 Pro
Average Score:24.2%
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Ministral 8B Instruct
Average Score:38.7%(+14.5%)
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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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Ministral 8B Instruct
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Gemini 1.0 Pro
Avg Score:24.2%
Providers:1
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Ministral 8B Instruct
Avg Score:38.7%(+14.5%)
Providers:1