Changes in model availability. OpenAI cuts off Cursor following its SpaceX acquisition.
OpenAI Terminates Contract with Cursor!
https://openai.com/index/our-decision-on-cursor-following-its-acquisition-by-spacex/
https://cursor.com/blog/joining-spacex
On August 14, Cursor (Anysphere) officially became part of SpaceX — an all-stock deal valued at ≈$60B, granting access to the Colossus GPU infrastructure for model training. On August 28, OpenAI notified SpaceX that it intends to wind down its contract providing OpenAI models to Cursor, with a shutoff date of November 12, 2026 — the maximum notice permitted under their custom agreement.
The decision is framed around distrust: OpenAI stated it cannot be confident that SpaceX will comply with its Terms of Service, citing Twitter's contract violations (now part of SpaceX) following Musk's takeover and Musk admitting under oath earlier this year that xAI distilled OpenAI's data for training. They also cited a heightened level of accountability required for the upcoming Astra model — meaning Cursor will not receive future models as part of its subscription, though BYOK via personal API keys remains available.
Discussion
https://news.ycombinator.com/item?id=49486172
Cursor was once primarily valued as a polished wrapper around top-tier models from OpenAI and Anthropic, but is now turning into a distribution platform for Musk's Grok. Many argue SpaceX paid not for the IDE, but for billions of developer prompts and codebase contexts for model training. Developers are wondering whether Anthropic will follow suit and ban Cursor as well. Cursor's founder tweeted that OpenAI models represent only ≈5% of total traffic, though comments pointed out that OpenAI models account for a much higher share of revenue. Some developers are already looking to migrate — to JetBrains, Zed, OpenCode, Codex — unwilling to lose the ability to switch between Sol/Terra for planning and Composer/Claude for implementation.
Free DeepSeek Flash Disappears from OpenCode Zen
Users noticed that deepseek-v4-flash-free disappeared from the free OpenCode Zen gateway; for those connected via API, it began throwing "401 No payment method. Add a payment method here" — the model many (myself included) relied on for 100% free, high-quality code generation over recent weeks. There has been no official announcement, with GitHub issues and Reddit simply reporting it as "unavailable." Meanwhile, on the official DeepSeek API itself, a new peak/off-peak pricing structure went live on August 16 (peak hours 01:00–04:00 and 06:00–10:00 UTC cost 2x more, resulting in an overall +3.5–4.7x price hike).
GLM-5.3, GLM-5.3 Flash as ox-alpha, and Qwen 3.8 Flash
https://z.ai/blog/glm-5.3
https://z.ai/blog/glm-5.3-flash
https://qwen.ai/blog?id=qwen3.8-flash-next
Z.ai released GLM-5.3 on August 14 on the same 743B base as GLM-5.2, achieved entirely via post-training. On August 26, they launched GLM-5.3 Flash on a brand-new base — an MoE with 320B total / 18B active parameters, the first open-weights frontier model with hybrid sparse+linear attention (≈4.4× smaller KV cache), native multimodality (text+images+video), 1M context window, and an MIT license. Prior to the official announcement, it was tested anonymously for a week on OpenRouter and OpenCode Zen under the alias stealth/ox-alpha — quickly becoming the most popular model of the week, matching Claude Opus 4.8 tier performance at ≈1/10th the cost.
On that same day, August 26, Alibaba rolled out Qwen3.8-Flash-Next (available in the API as Qwen3.8-Flash) — an architectural preview for the upcoming Qwen4 family: MoE with 125B total + 51B N-gram memory + 4B MTP head, activating only 6B parameters, featuring Qwen Sparse Attention across micro-blocks, gated residuals, 262K native context (extensible to 1M), multimodality, and the Qwen 1.0 license.
Voyage Code 4 — Embeddings Built for Agents
https://blog.voyageai.com/2026/08/13/voyage-code-4/
Since December 2024, voyage-code-3 has been one of Voyage's most popular models overall — a major hit among code embeddings for RAG and semantic codebase search, widely adopted by code assistants (Cursor, Continue, Cody, and others) as the underlying retrieval engine for relevant files and snippets. Today, however, the majority of retrieval queries come from autonomous agents rather than humans.
Voyage Code 4 is the new generation of the Voyage Code series, succeeding code-3 and purpose-built for agents. In practice, this means the model is significantly better at locating the right file on the first try: across 19 new agentic benchmarks (held-out repositories, NDCG@10 — higher means better retrieval accuracy), it performs roughly a third better than close competitors Cohere and Gemini, and nearly 1.5x better than OpenAI. At the same time, it remains flexible and more affordable.
#newllmmodel #openai #cursor #spacex #voyageai #glm #qwen #deepseek #opencode