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Gemini 1.0 Pro vs Grok-4
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Grok-4 offers 223.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $16.00 cheaper per million tokens. Grok-4 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 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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
xAI
2025-07-09
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($16.00 cheaper)
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Grok-4
Input:$3.00
Output:$15.00
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Gemini 1.0 Pro
Average Score:29.0%
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Grok-4
Average Score:29.4%(+0.4%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
Grok-4
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
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Gemini 1.0 Pro
Avg Score:29.0%
Providers:1
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Grok-4
Avg Score:29.4%(+0.4%)
Providers:2