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Gemini 1.0 Pro vs Grok Code Fast 1
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 36.5% higher average benchmark score. Grok Code Fast 1 offers 225.0K more tokens in context window than Gemini 1.0 Pro. Both models have similar pricing. Overall, Gemini 1.0 Pro 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 Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents xAI's latest advancement in AI technology.
1 year newer
Gemini 1.0 Pro
2024-02-15
Grok Code Fast 1
xAI
2025-08-28
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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Grok Code Fast 1
Input:$0.20
Output:$1.50($0.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Gemini 1.0 Pro
Average Score:43.6%(+36.5%)
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Grok Code Fast 1
Average Score:7.1%
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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 Code Fast 1
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Gemini 1.0 Pro
Avg Score:43.6%(+36.5%)
Providers:1
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Grok Code Fast 1
Avg Score:7.1%
Providers:1