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Grok-2 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 11.1% higher average benchmark score. Llama 3.2 3B Instruct offers 120.0K more tokens in context window than Grok-2. Llama 3.2 3B Instruct is $11.97 cheaper per million tokens. Grok-2 supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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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.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
1 month newer
Grok-2
xAI
2024-08-13
Llama 3.2 3B Instruct
Meta
2024-09-25
Pricing Comparison
Cost per million tokens (USD)
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Grok-2
Input:$2.00
Output:$10.00
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($11.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Grok-2
Average Score:30.6%
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Llama 3.2 3B Instruct
Average Score:41.7%(+11.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Grok-2
1 providers
xAI
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.2 3B Instruct
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Grok-2
Avg Score:30.6%
Providers:1
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Llama 3.2 3B Instruct
Avg Score:41.7%(+11.1%)
Providers:1