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Gemini 1.0 Pro vs Grok-4 Heavy
Comprehensive side-by-side LLM comparison
Grok-4 Heavy leads with 3.0% higher average benchmark score. Grok-4 Heavy 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-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Grok-4 Heavy
xAI
2025-07-09
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-4 Heavy
Average Score:34.1%(+3.0%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
Grok-4 Heavy
2024-12-31
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-4 Heavy
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Gemini 1.0 Pro
Avg Score:31.1%
Providers:1
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Grok-4 Heavy
Avg Score:34.1%(+3.0%)
Providers:0