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Gemini 1.0 Pro vs Grok-2 mini
Comprehensive side-by-side LLM comparison
Grok-2 mini leads with 13.1% higher average benchmark score. Grok-2 mini supports multimodal inputs. Overall, Grok-2 mini is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
6 months newer
Gemini 1.0 Pro
2024-02-15
Grok-2 mini
xAI
2024-08-13
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Gemini 1.0 Pro
Average Score:36.3%
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Grok-2 mini
Average Score:49.4%(+13.1%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Grok-2 mini
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Gemini 1.0 Pro
Avg Score:36.3%
Providers:1
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Grok-2 mini
Avg Score:49.4%(+13.1%)
Providers:0