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Search: “Ramp AI Index”

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Top AI spenders cut per-employee costs by nearly 10 percent in August

Ramp's September AI Index shows top AI spenders' per-employee costs fell 9.7% in August as firms migrate from frontier models to cheaper standard models.

Ramp's September 2026 AI Index reports median per-employee AI spending at the top 1% of spenders fell 9.7% in August to $7,205, partly attributed to August vacations, falling token prices, and migration to cheaper models. The effective price per million tokens dropped 41% from its March 2026 peak to $0.68, and frontier models like Opus, Fable, and Sol fell from 53% to 45% of tokens consumed. Anthropic was paid for by 43.8% of US companies (up 0.34 points) versus 39.8% for OpenAI (up 0.09 points), while open-weight models remain marginal at 6.4% of AI-using firms.

The Decoder · 6d agoAI industry 2 sources1

[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale

DeepSeek released V4.1-Flash, an open-weight 763B-parameter model with a novel causal encoder-decoder architecture, 1M context, vision input, and MIT license.

DeepSeek launched V4.1-Flash, an open-weight MIT-licensed model using a novel causal encoder-decoder architecture with 763B total parameters and asymmetric active parameters: 8B for prefill and 16B for decode. It supports 1M-token context and text+image input, priced at $0.30 per 1M input and $1.20 per 1M output tokens with a 50% off-peak discount. Artificial Analysis scored it 40 on its Intelligence Index, above DeepSeek V4 Pro 0813, and Vals ranked it the #1 open-weight model ahead of Kimi K3. Baseten shipped day-0 support and Ollama began rolling it out to paid subscribers.

Latent Space · 4d agoModel release 6 sources1