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Grok-3 vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2 7B Instruct leads with 23.8% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Qwen2 7B Instruct is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen2 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Grok-3
xAI
2025-02-17
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Grok-3
Average Score:25.2%
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Qwen2 7B Instruct
Average Score:49.0%(+23.8%)
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Knowledge Cutoff
Training data recency comparison
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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Grok-3
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Qwen2 7B Instruct
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Grok-3
Avg Score:25.2%
Providers:1
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Qwen2 7B Instruct
Avg Score:49.0%(+23.8%)
Providers:0