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Gemini Diffusion vs Grok-3
Comprehensive side-by-side LLM comparison
Gemini Diffusion leads with 3.4% higher average benchmark score. Grok-3 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google'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.
3 months newer
Grok-3
xAI
2025-02-17
Gemini Diffusion
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Gemini Diffusion
Average Score:39.1%(+3.4%)
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Grok-3
Average Score:35.7%
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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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Gemini Diffusion
0 providers
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Grok-3
1 providers
xAI
Throughput:
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Gemini Diffusion
Avg Score:39.1%(+3.4%)
Providers:0
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Grok-3
Avg Score:35.7%
Providers:1