Ling-3.1-flash
A large-scale Mixture-of-Experts (MoE) language model developed by the inclusionAI team, with approximately 560 billion total parameters and approximately 25 billion parameters activated per token. The model supports a context window of up to one million tokens.
Timeline (last 90 days)
Ant Group launched Ling-3.1-flash, with approximately 560 billion total parameters, using a MoE architecture that activates only approximately 25 billion parameters per token, with a context limit of 1 million.
Ling-3.1-flash adopts a Mixture of Experts (MoE) architecture with a total parameter count of approximately 560 billion (~560B).
Ling-3.1-flash activates only approximately 25 billion (~25B) parameters per token.
The inclusionAI team launched the Ling-3.1-flash model.
Ling-3.1-flash's release strategy is to first offer a two-week free trial, followed by open-sourcing.
Currently, benchmark data for Ling-3.1-flash is still primarily circulated within the community and lacks independent third-party verification.
Ling-3.1-flash claims to support a context window of up to 1 million tokens (1M).
All Facts (5)
Ling-3.1-flash adopts a Mixture of Experts (MoE) architecture with a total parameter count of approximately 560 billion (~560B).
50%UnverifiedLing-3.1-flash activates only approximately 25 billion (~25B) parameters per token.
50%UnverifiedLing-3.1-flash claims to support a context window of up to 1 million tokens (1M).
50%UnverifiedAnt Group launched Ling-3.1-flash, with approximately 560 billion total parameters, using a MoE architecture that activates only approximately 25 billion parameters per token, with a context limit of 1 million.
50%UnverifiedThe inclusionAI team launched the Ling-3.1-flash model.
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