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SpaceXAI Debuts Grok 4.6 to Take On GPT-5.6 and Fable 5 at 60% Lower Cost
Plus: Meta takes on coding agents, Qwen challenges frontier models, Meta’s Glimmer revives open-source AI and more.
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Hello Engineering Leaders and AI Enthusiasts!
This newsletter brings you the latest AI updates in just 4 minutes! Dive in for a quick summary of everything important that happened in AI over the last week.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🚀 SpaceXAI launches Grok 4.6 for long-running agents
💻 ️Meta’s Muse Code enters the coding race
🏆 China's Qwen is closing in on frontier AI
🔓 Meta revives its open-source AI push with Glimmer
💡 Knowledge Nugget: The three AI pills by Zvi Mowshowitz
Let’s go!
SpaceXAI launches Grok 4.6 for long-running agents
xAI has released Grok 4.6, and the model has jumped into the frontier AI pack. It scores 61 on Artificial Analysis’ Intelligence Index, putting it ahead of GPT-5.6 Sol and just behind Anthropic’s top models. It also edges Fable 5 on professional and legal tasks and beats Sol on two coding benchmarks.
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The bigger surprise is the price. Grok 4.6 costs $2/$6 per million tokens, roughly 60% less than the frontier models it is competing with. And Musk says Grok 4.7 could arrive within 3–4 weeks, promising another jump in performance.
Why does it matter?
Grok has gone from punchline to serious contender, and with 4.7 already on the horizon, xAI is putting real pressure on the incumbents. The bigger question now is whether that pressure shows up in both model performance and pricing.
Meta’s Muse Code enters the coding race
Meta has launched Muse Code, a beta terminal-based coding agent that puts it directly in the ring with OpenAI’s Codex and Anthropic’s Claude Code. The agent can spin up background sub-agents to work on tasks in parallel, with Meta saying it built six game features simultaneously without collisions.
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The model behind it, Muse Spark 1.2, has also made a big jump. It now scores 54 on Artificial Analysis’ Intelligence Index, while its GDPval score jumped 260 Elo points, bringing it close to frontier models in agentic knowledge work. Pricing stays at $1.25/$4.25 per million tokens, with a contributor tier offering roughly 21× lower costs if users allow Meta to train on their prompts.
Why does it matter?
Meta is no longer just trying to catch up on models; it’s now building the tools developers actually use. Muse Code puts it directly against Codex and Claude Code, and with Muse Spark’s rapid gains, Meta’s AI comeback is starting to look very real.
China's Qwen is closing in on frontier AI
Alibaba has released Qwen3.8-Max, a new model built for coding, research, and long-running tasks. In one test, it spent 16 days building a command-line tool, turning feedback into new tasks, writing and testing code, and fixing its own mistakes along the way.
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It also recreated an experiment from a research paper, generated and tested 18 new ideas, and improved its AIME24 score by 2.7 points in the process. The model costs $2/$6 per million tokens, about one-fifth of Fable 5, and its weights are coming to Hugging Face next week, making this Qwen’s first open-weight Max model.
Why does it matter?
Qwen is pushing the same trend we saw with Kimi K3: near-frontier AI is getting cheaper, more capable, and increasingly open. Now Qwen is adding another wrinkle with agents that can work for days, making the premium on closed, expensive models harder to defend.
Meta revives its open-source AI push with Glimmer
Meta has released Muse Glimmer, a 30B-parameter open model built specifically for running AI agents locally. It can handle coding, tool calls, multi-step tasks, screenshots, and documents, while running on a Mac or PC with a single consumer GPU. Meta says it performs strongly against similarly sized models like Gemma 4 and Qwen 3.6.