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Gemini 2.0 Flash-Lite vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 12.8% higher average benchmark score. Gemini 2.0 Flash-Lite offers 800.8K more tokens in context window than Mistral Small 3.1 24B Base. Both models have similar pricing. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.0 Flash Lite was created as an even more efficient variant of Gemini 2.0 Flash, designed for applications where minimal latency and maximum cost-effectiveness are essential. Built to bring next-generation multimodal capabilities to resource-constrained deployments, it optimizes for speed and affordability.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
1 month newer
Gemini 2.0 Flash-Lite
2025-02-05
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash-Lite
Input:$0.07
Output:$0.30($0.03 cheaper)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:63.7%(+12.8%)
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Mistral Small 3.1 24B Base
Average Score:50.9%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash-Lite
2024-06-01
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 2.0 Flash-Lite
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Mistral Small 3.1 24B Base
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Gemini 2.0 Flash-Lite
Avg Score:63.7%(+12.8%)
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:50.9%
Providers:1