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GPT-3.5 Turbo vs Grok-2
Comprehensive side-by-side LLM comparison
Grok-2 leads with 27.4% higher average benchmark score. Grok-2 offers 115.5K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $10.00 cheaper per million tokens. Grok-2 supports multimodal inputs. Overall, Grok-2 is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
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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.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Grok-2
xAI
2024-08-13
Pricing Comparison
Cost per million tokens (USD)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($10.00 cheaper)
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Grok-2
Input:$2.00
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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GPT-3.5 Turbo
Average Score:33.8%
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Grok-2
Average Score:61.2%(+27.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-3.5 Turbo
Avg Score:33.8%
Providers:2
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Grok-2
Avg Score:61.2%(+27.4%)
Providers:1