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Gemini 1.0 Pro vs Grok-2
Comprehensive side-by-side LLM comparison
Grok-2 leads with 14.7% higher average benchmark score. Grok-2 offers 95.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $10.00 cheaper per million tokens. Grok-2 supports multimodal inputs. Overall, Grok-2 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 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). 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 2024, it represents xAI's latest advancement in AI technology.
6 months newer
Gemini 1.0 Pro
2024-02-15
Grok-2
xAI
2024-08-13
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($10.00 cheaper)
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Grok-2
Input:$2.00
Output:$10.00
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
Average Score:51.0%(+14.7%)
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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
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Gemini 1.0 Pro
Avg Score:36.3%
Providers:1
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Grok-2
Avg Score:51.0%(+14.7%)
Providers:1