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LLM Index

DeepSeek vs. FLAN-UL2

A side-by-side comparison of release history, capabilities, licensing and model sizes.

Attribute DeepSeek FLAN-UL2
Developer DeepSeek Google
Current generation DeepSeek V4 –
Initial release 2023-11-29 2023-03-03
Instruct tuned Yes Yes
Coding Yes No
Finetuning Yes Yes
Open source Yes Yes
License MIT Apache 2.0
Model sizes 284B (13B active), 1.6T (49B active) 20B
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DeepSeek

DeepSeek develops open-weight mixture-of-experts models for reasoning, coding, agents, and efficient long-context inference. DeepSeek V4 is the current generation.

DeepSeek began releasing language models in 2023 with DeepSeek Coder, then gained broad adoption with DeepSeek V3 and the R1 reasoning model in 2024 and 2025. DeepSeek V4, released in April 2026, includes a 284B-parameter Flash model with 13B active parameters and a 1.6T-parameter Pro model with 49B active parameters. Both support one-million-token context windows and are released with open weights under the MIT license.

Further reading

FLAN-UL2

Similar to FLAN-T5, FLAN-UL2 is a model based on Google's popular T5 architecture with an upgraded pre-training procedure dubbed UL2. On most NLU benchmarks, FLAN-UL2 outperforms FLAN-T5 by a significant margin.

Further reading

Compare other models

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