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DeepSeek-V3 vs Grok-2
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 1.5% higher average benchmark score. DeepSeek-V3 offers 126.1K more tokens in context window than Grok-2. DeepSeek-V3 is $10.63 cheaper per million tokens. Grok-2 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 was developed as the second generation of xAI's language model family, designed to provide enhanced reasoning, knowledge, and conversational abilities. Built with architectural improvements and expanded training, it represents a significant advancement in xAI's model capabilities.
4 months newer
Grok-2
xAI
2024-08-13
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($10.63 cheaper)
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Grok-2
Input:$2.00
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:74.5%(+1.5%)
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Grok-2
Average Score:73.0%
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
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DeepSeek-V3
Avg Score:74.5%(+1.5%)
Providers:1
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Grok-2
Avg Score:73.0%
Providers:1