Expired50% confidenceBenchmarkExact time
Open-source models such as Llama 3.1 (Meta), Mistral 7B/8x7B, and Qwen2.5-Coder (Alibaba Cloud) have reached practical performance levels approaching GPT-4 on code and configuration generation tasks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/19/2026
First Seen
Valid until: 10/17/2026(expired)
Sources
用大模型玩转MikroTik网络配置：AI辅助运维实践指南
Related Claims
UnverifiedOpen-source models such as Meta's Llama 3.1 series, DeepSeek-V3, and Alibaba's Qwen2.5-Coder have significantly narrowed the gap with GPT-4-level models on code generation benchmarks such as HumanEval and SWE-bench.83% similarPartially VerifiedAnythingLLM支持通过Ollama运行Llama 3、Mistral、Qwen等开源模型，也可接入OpenAI GPT-4、Claude、Gemini等商业模型API81% similarUnverifiedOpen-source models such as Qwen-7B and LLaMA-2-7B, after Agent Tuning, can achieve tool-calling accuracy at the level of GPT-3.5 or even close to GPT-480% similarUnverifiedGPT-4 is reportedly built on an MoE design, and Mixtral 8x7B is a representative open-source implementation.76% similarUnverifiedQwen2.5-27B是阿里云通义实验室发布的270亿参数开源模型，在MMLU、HumanEval、GSM8K等基准上接近GPT-4早期版本水平76% similar
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