Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 25.1% higher average benchmark score. Grok-4 offers 124.7K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $17.40 cheaper per million tokens. Grok-4 supports multimodal inputs. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Grok-4
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 19 common benchmarks
Grok-4
Qwen2.5 7B Instruct
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Qwen2.5 7B Instruct
Grok-4
Qwen2.5 7B Instruct
Qwen2.5 7B Instruct
Together