Reflection

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   Reflection launches Beam, Mistral debuts Large 4 as Western open models push back

   Reflection, the US startup billed as an "American DeepSeek", released its first open-weight model Beam: a 501B-parameter MoE with 23B activated per token for coding, reasoning and agent workloads, whose final RL run used more than 10,500 Nvidia GB300 GPUs and over 100 million rollouts. A day later Mistral launched Mistral Large 4, its largest model yet at 1.05T parameters (52B active), 1M-token context and native multimodality, trained from scratch on about 3,800 Grace Blackwell GPUs in Europe; it is in API preview with full weights due in late October. Both companies concede Chinese open models remain ahead: Beam trails GLM-5.3, Kimi K3 and DeepSeek V4.1 Flash on DeepSWE v1.1 (44.4), Terminal Bench v2.1 (80.1) and HLE (36.2), so Reflection is pitching intelligence per unit of inference compute instead.

   36氪 人工智能 · 🔥 9

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