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GPT-3.5 Turbo vs Grok-3
Comprehensive side-by-side LLM comparison
Grok-3 leads with 8.2% higher average benchmark score. Grok-3 offers 115.5K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $16.00 cheaper per million tokens. Grok-3 supports multimodal inputs. Overall, Grok-3 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-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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
GPT-3.5 Turbo
OpenAI
2023-03-21
Grok-3
xAI
2025-02-17
Pricing Comparison
Cost per million tokens (USD)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($16.00 cheaper)
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Grok-3
Input:$3.00
Output:$15.00
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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GPT-3.5 Turbo
Average Score:30.7%
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Grok-3
Average Score:39.0%(+8.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
Grok-3
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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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:30.7%
Providers:2
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Grok-3
Avg Score:39.0%(+8.2%)
Providers:1