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Gemini 1.0 Pro vs Grok-1.5V
Comprehensive side-by-side LLM comparison
Grok-1.5V leads with 4.8% higher average benchmark score. Grok-1.5V supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). 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.
1 month newer
Gemini 1.0 Pro
2024-02-15
Grok-1.5V
xAI
2024-04-12
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Gemini 1.0 Pro
Average Score:31.1%
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Grok-1.5V
Average Score:35.9%(+4.8%)
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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-1.5V
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Gemini 1.0 Pro
Avg Score:31.1%
Providers:1
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Grok-1.5V
Avg Score:35.9%(+4.8%)
Providers:0