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Grok-4 vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 26.4% higher average benchmark score. Grok-4 supports multimodal inputs. Grok-4 is available on 2 providers. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
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xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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.
9 months newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Grok-4
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Grok-4
Average Score:17.7%
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Qwen2.5-Coder 7B Instruct
Average Score:44.0%(+26.4%)
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Knowledge Cutoff
Training data recency comparison
Grok-4
2024-12-31
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-4
2 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Grok-4
Avg Score:17.7%
Providers:2
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Qwen2.5-Coder 7B Instruct
Avg Score:44.0%(+26.4%)
Providers:0