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Grok 4 Fast vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 44.0% higher average benchmark score. Grok 4 Fast offers 1.8M more tokens in context window than Llama 3.1 70B Instruct. Both models have similar pricing. Grok 4 Fast supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Overall, Grok 4 Fast is the stronger choice for coding tasks.
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xAI
Grok 4 Fast is a multimodal language model developed by xAI. It achieves strong performance with an average score of 73.0% across 7 benchmarks. It excels particularly in SimpleQA (95.0%), HMMT 2025 (93.3%), AIME 2025 (92.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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.
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Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
1 year newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Grok 4 Fast
xAI
2025-08-28
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Pricing Comparison
Cost per million tokens (USD)
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Grok 4 Fast
Input:$0.20
Output:$0.50
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Llama 3.1 70B Instruct
Input:$0.20
Output:$0.20($0.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Grok 4 Fast
Average Score:85.7%(+44.0%)
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Llama 3.1 70B Instruct
Average Score:41.7%
Provider Availability & Performance
Available providers and their performance metrics
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Grok 4 Fast
1 providers
xAI
Throughput: 90 tok/s
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Llama 3.1 70B Instruct
9 providers
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Grok 4 Fast
Avg Score:85.7%(+44.0%)
Providers:1
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Llama 3.1 70B Instruct
Avg Score:41.7%
Providers:9