swap_horiz Retentive Network Alternatives
Looking for alternatives to Retentive Network? Compare the top Model options ranked by our AI scoring system.
Retentive Network
Retentive Network (RetNet) is a large language model architecture introduced by Microsoft researchers in 2023. It proposes a retention mechanism as a substitute for the self-attention mechanism used in standard Transformer models. This architectural shift is designed to allow parallel computation du...
apps Top Retentive Network Alternatives
The top alternative to Retentive Network in 2026 is Gemini 2.5 Flash with a score of 8.7/10, followed by o3-mini (8.6) and DeBERTa (8.6).
Gemini 2.5 Flash
Google DeepMind's cost-efficient Gemini 2.5 model released in 2025, balancing reasoning capability and speed for high-vo...
o3-mini
o3-mini is a compact artificial intelligence model developed by OpenAI and released to the public in early 2025. It belo...
DeBERTa
DeBERTa (Decoding-enhanced BERT with disentangled attention) is a masked language model developed by Microsoft researche...
Mamba
Mamba is a deep learning architecture introduced in 2023 by researchers Albert Gu and Tri Dao that utilizes selective st...
FLAN-T5
FLAN-T5 is a series of instruction-tuned large language models released by Google in late 2022. It is an enhanced versio...
Mistral 7B
Mistral 7B is an open-weight large language model released in September 2023 by the French artificial intelligence compa...
SigLIP
SigLIP (Sigmoid Loss for Language Image Pre-training) is a vision-language model introduced by Google in 2023. It modifi...
Gemma 2
Gemma 2 is Google's second generation family of open-weight language models, introduced in 2024. It was released in 2-bi...
Phi-4
Phi-4 is a 14-billion-parameter language model introduced by Microsoft in late 2024 as part of the Phi family of small l...
WizardLM 2
WizardLM 2 is a series of open-weight, instruction-tuned large language models developed by Microsoft and released in 20...
Phi-3.5
Phi-3.5 is a family of compact artificial intelligence models introduced by Microsoft in 2024. The family includes Phi-3...
Solar 10.7B
Solar 10.7B is an open-weight large language model developed by the South Korean artificial intelligence company Upstage...
Phi-3.5-MoE
Phi-3.5-MoE is a mixture-of-experts large language model released by Microsoft in August 2024 as part of the Phi-3.5 fam...
Phi-2
Phi-2 is a 2.7-billion-parameter transformer language model developed by Microsoft, released in December 2023. It was tr...
Gemini Nano
Gemini Nano is a compact large language model developed by Google DeepMind and introduced in late 2023. As the smallest...
Orca 2
Orca 2 is an open-source small language model developed by Microsoft Research and released in late 2023. It is built by...
MPT-7B
MPT-7B is a 7-billion-parameter transformer model developed by MosaicML and released in May 2023. Trained on 1 trillion...
Phi-1
Phi-1 is a compact large language model developed by Microsoft and released in 2023 as the inaugural model in the Phi se...
Yi-6B
Yi-6B is a 6-billion-parameter large language model developed by 01.AI, an AI company founded by Kai-Fu Lee. Released in...
Falcon 7B
Falcon 7B is a 7-billion-parameter causal decoder-only language model developed by the Technology Innovation Institute i...
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