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DeepSeek R1 Distill Qwen 1.5B vs Grok-3
Comprehensive side-by-side LLM comparison
Grok-3 leads with 40.2% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Grok-3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
28 days newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Grok-3
xAI
2025-02-17
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:31.2%
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Grok-3
Average Score:71.4%(+40.2%)
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Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Grok-3
1 providers
xAI
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:31.2%
Providers:0
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Grok-3
Avg Score:71.4%(+40.2%)
Providers:1