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DeepSeek-V3 vs Grok-2 mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 4.8% higher average benchmark score. Grok-2 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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xAI
Grok 2 Mini was created as a more efficient variant of Grok 2, designed to provide strong capabilities with reduced computational requirements. Built to make Grok 2's advancements accessible to applications with tighter resource constraints, it balances performance with practical deployment needs.
4 months newer
Grok-2 mini
xAI
2024-08-13
DeepSeek-V3
DeepSeek
2024-12-25
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:74.5%(+4.8%)
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Grok-2 mini
Average Score:69.7%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Grok-2 mini
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DeepSeek-V3
Avg Score:74.5%(+4.8%)
Providers:1
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Grok-2 mini
Avg Score:69.7%
Providers:0