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Grok 4.6 Matches GPT-5.6, Opus 5; 4.7 (2.1T) Weeks Away

Grok 4.6 matches GPT-5.6 and Opus 5 on many benchmarks per @kimmonismus, with 2.1T-parameter Grok 4.7 arriving in weeks. The 1.5T model ships with Cursor integration.

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How does Grok 4.6 compare to GPT-5.6 and Opus 5 in benchmarks, and when is Grok 4.7 coming?

Grok 4.6, xAI's 1.5T-parameter model, performs on par with GPT-5.6, Opus 5 and Fable 5 in many benchmarks, per @kimmonismus. The full-size Grok 4.7 (2.1T parameters) launches weeks later, beating 4.6 everywhere except slower serving with better token efficiency.

TL;DR

Grok 4.6 matches GPT-5.6, Opus 5 in benchmarks · xAI's 1.5T model praised for value, speed · Grok 4.7 (2.1T) coming in weeks, better efficiency

Grok 4.6 matches GPT-5.6 and Opus 5 on many benchmarks, per @kimmonismus, while xAI readies a 2.1T-parameter Grok 4.7 for release in weeks. The 1.5T model ships with Cursor integration, a fast turnaround for a frontier lab.

Key facts

  • Grok 4.6 is a 1.5T-parameter model
  • Grok 4.7 will be 2.1T parameters, releasing in weeks
  • 4.6 matches GPT-5.6, Opus 5 on many benchmarks
  • 4.7 better than 4.6 except slower serving
  • Kimi k3.1 and GLM-5.3 (Flash) add competitive pressure

xAI's Grok 4.6, a 1.5T-parameter model, is delivering benchmark parity with the top frontier models from OpenAI, Anthropic and Mistral. According to @kimmonismus, the model "performs on par with GPT-5.6, Opus 5, and even, in certain benchmarks, Fable 5" — a notable result for a model that is not xAI's largest. The same source calls it "excellent value for money," a claim the company has not yet backed with pricing disclosures.

The 2.1T follow-up

The key context: Grok 4.6 is the smaller sibling. "Grok 4.7 will be the 2.1T model released a few weeks later," @kimmonismus writes, describing it as "better than 4.6 in every way, except slightly slower to serve, albeit with even better token efficiency." That trade-off — quality per token vs. latency — is the classic frontier-model calculus, and it suggests xAI is optimizing 4.7 for compute efficiency rather than raw speed.

The 4.6 release also bundles Cursor integration, a move that puts xAI's models directly into the developer workflow where OpenAI's Codex and Anthropic's Claude Code currently compete. Shipping a frontier-adjacent model with an IDE integration in short order is a distribution play as much as a model play.

Pressure on the incumbents

The competitive window is tightening. "Kimi k3.1 is about to be released, GLM-5.3 (Flash) is currently demonstrating how good smaller models can be," @kimmonismus notes, "and thus the pressure on OpenAI and Anthropic is increasing." The pattern across the last quarter: smaller, cheaper models from Chinese labs and xAI are compressing the price-performance gap faster than the frontier leaders are extending it.

None of this is a formal benchmark disclosure. xAI has not published third-party eval results for 4.6, and the source's claims about Fable 5 parity in "certain benchmarks" are unspecified. The company did not disclose parameter counts for 4.6 beyond the 1.5T figure referenced in the tweet, nor did it confirm the 2.1T size for 4.7.

What this means for buyers

For teams choosing a model today, the calculus is shifting: a 1.5T model that matches the big three on many tasks, at presumably lower cost, changes the default. The real question is whether Grok 4.7's token efficiency — better than 4.6's, per the source — translates to a price advantage that forces OpenAI and Anthropic to respond on pricing rather than just capability.

Watch for xAI's pricing page update when 4.7 drops, and whether OpenAI or Anthropic announce price cuts within the following two weeks. The window for the incumbents to defend their per-token margins is closing.

What to watch

Watch for the Grok 4.7 release window — the source says weeks, not months. When it ships, check xAI's pricing per million tokens against OpenAI's GPT-5.6 and Anthropic's Opus 5. A price cut from either incumbent within two weeks of the 4.7 launch would confirm margin pressure.

Source: gentic.news · · author= · citation.json

AI-assisted reporting. Generated by gentic.news from multiple verified sources, fact-checked against the Living Graph of 4,300+ entities. Edited by Ala SMITH.

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AI Analysis

The notable signal here is not the benchmark parity claim — third-party verification is absent and the source is a single account — but the structural pattern it describes. xAI is running a two-tier release cadence: a smaller, fast-serving model first, then the full-size flagship weeks later. That's the opposite of OpenAI's approach, which led with GPT-5.6 as the flagship and only later shipped smaller variants. Shipping the value model first lets xAI capture developer mindshare and API spend before the flagship lands, and the Cursor integration suggests they're targeting the coding workflow specifically. The competitive read is that the frontier is compressing from below. GLM-5.3 (Flash) demonstrating "how good smaller models can be" and Kimi k3.1's imminent release are the same story: mid-size models are closing the gap to the flagships faster than the flagships extend it. If Grok 4.6 genuinely matches Opus 5 on many benchmarks at a fraction of the serving cost, the incumbents' pricing power erodes. The token-efficiency claim for 4.7 — better than 4.6 despite being 40% larger — is the one to scrutinize; that's where the real margin story lives. The skepticism: this is one unverified account with no benchmark names, no eval harness, and no pricing data. The "certain benchmarks" hedge for Fable 5 parity is doing a lot of work. Treat the capability claims as directional, but the release cadence and distribution moves are observable facts that will play out in public.
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