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Gemini 1.0 Pro vs Grok-3 Mini
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 7.0% higher average benchmark score. Grok-3 Mini offers 95.0K more tokens in context window than Gemini 1.0 Pro. Grok-3 Mini is $1.20 cheaper per million tokens. Grok-3 Mini supports multimodal inputs. 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-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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 2025, it represents xAI's latest advancement in AI technology.
1 year newer
Gemini 1.0 Pro
2024-02-15
Grok-3 Mini
xAI
2025-02-17
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-3 Mini
Input:$0.30
Output:$0.50($1.20 cheaper)
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%(+7.0%)
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Grok-3 Mini
Average Score:29.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
Grok-3 Mini
2024-11-17
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-3 Mini
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Gemini 1.0 Pro
Avg Score:36.3%(+7.0%)
Providers:1
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Grok-3 Mini
Avg Score:29.3%
Providers:1