DeepSeek Releases V4-Flash-0731, Outperforming Its Bigger Model
DeepSeek's official V4-Flash-0731 release outperforms its larger V4-Pro model on coding and agent benchmarks, despite activating far fewer parameters per token.
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DeepSeek's official V4-Flash-0731 release outperforms its larger V4-Pro model on coding and agent benchmarks, despite activating far fewer parameters per token.
Read more →Ant Group's Ling-3.0-Flash matches models several times its size on reasoning and coding benchmarks using just 5.1 billion active parameters, the company says.
Read more →Alibaba's Qwen team released a language world model that learns to predict agent environment states across seven domains, offering a new approach to training AI agents without live systems.
Read more →Liquid AI released LFM2.5-230M, a 230-million-parameter open-weight model that runs AI agent tasks at 213 tokens per second on a phone CPU and 42 tokens per second on a Raspberry Pi — without a cloud connection.
Read more →Alibaba's Qwen team has released Qwen-AgentWorld, a family of open-source language world models that predict how digital environments respond to AI agent actions, with its 397B variant outscoring GPT-5.4 on the new AgentWorldBench benchmark.
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