Unverified50% confidenceFactExact time
The concept of intelligent model routing only became feasible for engineering after 2023, when the capability gap between flagship models such as GPT-4, Claude, and Gemini and open-source small models such as Llama and Mistral was quantified by benchmark tests.
1
Sources
50%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
智能模型路由：AI降本增效的核心技术与落地指南
rss7/2/2026
Related Claims
VerifiedBetween 2023 and 2024, the performance gap among mainstream large language models such as GPT-4, Claude 3, and Gemini Ultra continued to narrow on benchmarks, making them difficult to distinguish on most general tasks.76% similarUnverifiedSince the second half of 2024, the performance of open-source models has closely approached that of closed-source models, with the ELO scores of Llama, DeepSeek, Zhipu GLM, and other open-source models nearing those of GPT-4o and Claude 3.5.75% similarUnverifiedThe benchmark tested leading AI models including Claude, GPT series, and Gemini.74% similarUnverifiedThe narrative instruction-following capability of quantized open-source small-parameter models such as Meta's Llama 3 series and Mistral AI's Mixtral series has approached the level of early GPT-3.5.74% similarUnverifiedDifferent large models (GPT-4, Claude, Llama, etc.) differ in their response characteristics to prompts, and in practice it is necessary to fine-tune for specific models.74% similar
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