The financial services firm has tied a $1 billion run-rate target to AI and automation, with three-quarters of the gains expected from expense cuts and roughly $500 million in upfront costs.
The October checkpoint upgrades the deepseek-flash endpoint while holding prices, adding vision-language input, cutting output length, and posting a 77.0 DeepSWE v1.1 Pass@1 score.
Open-weight release from Nvidia and the Nemotron Coalition gives enterprises post-training control and single-GPU throughput that rivals larger closed reasoning systems.
The Oct. 17 refresh of DeepSeek's open-weight Flash model posts record DeepSWE and Automation-Bench scores, cuts output overhead and adds Search and Fetch APIs without changing the price sheet.
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