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Grok 4 Fast vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 35.2% higher average benchmark score. Grok 4 Fast offers 1.8M more tokens in context window than Llama 3.3 70B Instruct. Both models have similar pricing. Grok 4 Fast supports multimodal inputs. Llama 3.3 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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
8 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
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 3.3 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%(+35.2%)
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Llama 3.3 70B Instruct
Average Score:50.5%
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 3.3 70B Instruct
9 providers
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Grok 4 Fast
Avg Score:85.7%(+35.2%)
Providers:1
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Llama 3.3 70B Instruct
Avg Score:50.5%
Providers:9