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LLM Index

DeepSeek vs. MiniMax

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

Attribute DeepSeek MiniMax
Developer DeepSeek MiniMax
Current generation DeepSeek V4 MiniMax M3
Initial release 2023-11-29 2025-01-15
Instruct tuned Yes Yes
Coding Yes Yes
Finetuning Yes Yes
Open source Yes Yes
License MIT MiniMax Community
Model sizes 284B (13B active), 1.6T (49B active) 428B (23B active)
Links
Website Pricing
Website Pricing

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

MiniMax

MiniMax is an open-weight model family spanning language, reasoning, multimodal, and agentic workloads. MiniMax M3 is the current generation.

MiniMax introduced the open MiniMax-01 series in January 2025 and followed it with the M1 and M2 reasoning and agent models. MiniMax M3, released in June 2026, is a 428B-parameter mixture-of-experts model with about 23B active parameters. It combines native image and video understanding, a one-million-token context window, sparse attention, computer use, coding, and long-horizon agent capabilities.

Further reading

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