Grok 4.6 Release Date: Two Weeks Out, Per Musk

Elon Musk posted on July 28, 2026 that Grok 4.6 is roughly two weeks out, and that Grok 4.7 follows shortly after. Two weeks from that post lands in the second week of August, about a month after Grok 4.5 shipped on July 8. xAI has published nothing else: no launch page, no model card, no price, no benchmark. What exists is Musk's own description of a ~1.5-trillion-parameter model with reworked supervised fine-tuning and reinforcement learning stages. Aggregator coverage and r/singularity threads spent the following 48 hours restating that, which is worth knowing before you read a "leak" roundup: it all traces back to the same posts.

The speculation has already arranged itself as a 4.6-versus-4.5 scoreboard that nobody can fill in, because one side of it has no numbers. The split that actually separates the two is about commitment, not capability. Grok 4.5 is a shipped artifact you can pin a version string to, price, and hand to a procurement team. Grok 4.6, as described, is a post-training pass whose entire selling point is the speed at which it arrived. Those two things ask completely different things of whoever is buying.

Reworked SFT and RL is a description of post-training, not of a new base model

Read Musk's phrasing literally and it points at a specific kind of release. Supervised fine-tuning and reinforcement learning are the stages that happen after a base model is pretrained. They shape how a model follows instructions, when it calls a tool, how it formats output, how long it keeps reasoning before it commits, and when it refuses. They do not add much to what the model knows or raise its raw reasoning ceiling, because that comes out of pretraining. A release built mainly on new SFT and RL is a behavior release.

That has a consequence people building agents will recognize immediately. Post-training changes are exactly the changes that break your prompts. A model that got better at tool-call discipline can also stop emitting the JSON shape your parser expects, or start reasoning longer on tasks where you budgeted for a fast answer. So the honest expectation for 4.6 is meaningful improvement on agentic reliability and instruction-following, with recall and general knowledge roughly where 4.5 left them. One thing I genuinely cannot tell you: whether that ~1.5T figure represents the same base as 4.5 or a different one, because xAI never published a parameter count for 4.5. Without that, "1.5T" is a number with nothing to compare it against.

Grok 4.5 is still arriving in third-party products, three weeks after launch

Grok 4.5 launched July 8 as xAI's coding-and-agents model, became the default in Grok Build, and went live in Cursor and Perplexity at launch. Integration work at that layer does not finish on launch day. Routing rules get tuned, prompt templates get rewritten, per-model cost controls get set. Some of that was still in flight when the successor was announced.

A roughly four-week gap between frontier releases puts real load on anyone downstream. An eval suite that takes a week to run and interpret expires before you finish acting on it. Prompt regressions have to be re-checked per version. Enterprise buyers who need a deprecation window in writing have nothing to point at yet. Compare the cadence around it: Anthropic made Claude Opus 5 generally available on July 24, and OpenAI's GPT-5.6 family rolled out across weeks of staged access. xAI is shipping named frontier versions faster than either, and pre-announcing the one after next.

Four of the seven rows on the 4.6 side are a variation of "not yet." That is the accurate picture of what is known on July 30, and it is why a benchmark comparison table for these two models does not exist anywhere legitimate right now.

Ship on 4.5 if you have a locked prompt suite; wait if your workload is tool-calling

If you are running a product on Grok 4.5 today with a stable prompt suite and customers who notice output changes, pin the version and ignore the August date for now. Re-qualifying a model costs you engineering weeks, and a behavior-focused refresh is the type most likely to require exactly that. Let someone else absorb the first two weeks of 4.6 quirks.

If you are evaluating xAI for the first time, or your workload is agentic tool-calling and long task loops, waiting is the cheaper path. A new SFT and RL pass lands hardest on precisely those behaviors, so an eval you run on 4.5 in the first week of August is an eval you will run again in the second. And if you are shopping across vendors on cost, 4.6 cannot help you decide anything yet, because there is no published price to put in the spreadsheet.

The honest take: the 4.7 mention is the more informative half of what Musk posted. Pre-announcing two releases at once says the refreshes are pipelined rather than individually planned, which means 4.6 is not intended as a place anyone settles. That is a coherent strategy for a lab competing on iteration speed, and it works against xAI in exactly one place: nobody's enterprise procurement cycle runs monthly. A vendor whose named versions turn over every four weeks is a harder vendor to standardize on, whatever the benchmarks eventually say.

Two weeks from the July 28 post puts the launch around August 11, and the thing to check is not the headline score. It is whether xAI ships a model card that separates pretraining from post-training changes, and whether it names a deprecation date for 4.5. Until that page goes up, the defensible move is to pin 4.5 and keep your eval harness warm.