Grok 4.6 Review: Price, Release Date, Benchmarks, and Verdict

AI Takeaway

• When was Grok 4.6 released? xAI released it on August 12, 2026 through its API, Grok Build, Cursor, and several model gateways.
• How much does Grok 4.6 cost? Standard API pricing starts at $2 per million input tokens and $6 per million output tokens. Cached input, prompts at or above 200K tokens, tools, and faster processing change the bill.
• What improved over Grok 4.5? xAI’s published results show stronger coding, knowledge-work, and long-running agent performance, with a particularly large DeepSWE gain.
• Is it the best coding model? Not for every workload. It is competitive on CursorBench and DeepSWE but trails GPT-5.6 Sol Max and Fable 5 Max on Terminal-Bench 3.0.
• Is Grok 4.6 worth it? Yes as a serious evaluation candidate. Its low headline price and stronger agent scores are attractive, but production decisions should use completed-task cost and real repository results—not launch benchmarks alone.

Grok 4.6 Release Date and Availability

Where you can use Grok 4.6

Grok 4.6 launched on August 12, 2026. Pre-release pages citing expected dates are now outdated. xAI lists the model in its API, Grok Build, and Cursor, with access through OpenRouter, Vercel, and Cloudflare.

API usage is billed per token, while Cursor and Grok Build apply their own allowances and limits. Do not treat a consumer subscription as bundled API credit.

Grok 4.6 follows the July 2026 Grok 4.5 release, but xAI positions the new model around sustained execution rather than a simple chat-quality refresh.

Model specifications that matter in practice

Grok 4.6 has a 500,000-token context window and a February 1, 2026 knowledge cutoff. It accepts text and images and produces text. Developers can select low, medium, high, or xhigh reasoning effort through the Responses or Chat Completions API. The cutoff limits built-in knowledge; live web or X results depend on enabled search tools.

It supports function calling plus xAI’s web search, X search, and code-execution tools. A 500K window can hold substantial agent context, but crossing 200K prompt tokens triggers higher pricing for the entire request.

Grok 4.6 Benchmark Review: What the Scores Show

Where the official benchmarks improved over Grok 4.5

xAI’s launch table shows gains over Grok 4.5 High in every listed like-for-like result. That makes the table useful for measuring the generational change, even though it remains vendor-published evidence.

Evaluation	Grok 4.6 High	Grok 4.5 High	Change
AA Intelligence Index	61	56	+5
GDPVal-AA v2	1753	1526	+227
CursorBench 3.2	69.9%	66.7%	+3.2 points
DeepSWE 1.1	65.9%	54.0%	+11.9 points
Terminal-Bench 3.0	26.0%	15.7%	+10.3 points

The gains suggest a meaningful technical upgrade. Grok 4.6 also reaches 61 on the Artificial Analysis Intelligence Index, matching GPT 5.6 Sol in xAI’s table.

What the results suggest for coding and knowledge work

The most convincing use case is sustained execution. xAI trained Grok 4.6 across coding, knowledge work, web development, computer-aided design, and other agent environments so it can remain useful across longer task sequences.

xAI also reports more self-testing and verification on longer trajectories. Treat that as a promising vendor observation, not a reliability guarantee. For a hosted coding-agent workflow, the real test is whether the model reads the right files, catches subtle defects, runs relevant tests, and recovers from a failed approach without consuming excessive context.

Visual and interactive work is another stated strength. Grok 4.6 aims to produce more substantial first versions of applications, although design quality remains subjective and needs direct review.

Where the launch evidence is still weak

Independent launch-day evidence is limited, and most numbers come from xAI. Agent results also depend on system prompts, tools, context compaction, retries, execution environment, and verification loops.

Grok 4.6 also does not win every published comparison. On Terminal-Bench 3.0, its 26% trails GPT-5.6 Sol Max at 34.6% and Fable 5 Max at 34.1%. If your work is dominated by difficult command-line environments, that gap is more relevant than a composite score.

The performance verdict is positive but narrow: Grok 4.6 has strong published signals for agentic coding, but the evidence does not support calling it the best model for every workload.

Grok 4.6 Price: The Headline Rate Is Not the Whole Cost

Official API rates by context and service tier

Grok 4.6 API pricing is competitive for a frontier model, but the $2 input and $6 output headline omits important tiers.

Usage type	Input / 1M	Cached input / 1M	Output / 1M
Short context, under 200K prompt tokens	$2.00	$0.50	$6.00
Long context, 200K prompt tokens or more	$4.00	$1.00	$12.00
Priority processing	2x the applicable standard rate	2x	2x

Once a prompt reaches 200K tokens, xAI applies long-context rates to all tokens in that request—not only the portion above the threshold. The launch post also lists a fast variant at twice the price, while xAI’s API documentation prices priority processing at 2x the applicable standard rate.

Web search, X search, and code execution each add $5 per 1,000 calls. Subscriptions, gateways, and infrastructure can introduce other costs.

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Why cost per completed task matters more than cost per token

For a single short-context call with 100K uncached input tokens and 10K output tokens, the base model cost is about $0.26 before tools. A request with 250K input tokens and 20K output tokens costs about $1.24 because the entire request uses long-context rates.

Agent workloads repeat that calculation across turns, often resending context and tool results. A cheaper model becomes expensive if it needs more retries; a higher rate can still win if it finishes sooner.

Caching matters. Grok 4.6 keeps Grok 4.5’s $2/$6 headline, but cached input rose from $0.30 to $0.50 per million tokens and the long-context cached rate from $0.60 to $1.00. Compare completed-task cost across the MyClaw model directory, including retries and human cleanup.

Grok 4.6 vs Grok 4.5: Is the Upgrade Worth It?

Decision factor	Grok 4.6	Grok 4.5
Release	August 12, 2026	July 8, 2026
Main focus	Long-running agents, coding, knowledge work, interactive and visual projects	Fast, cost-efficient engineering and agent tasks
Context window	500K	500K
Standard input/output price	$2 / $6 per 1M	$2 / $6 per 1M
Cached input price	$0.50 per 1M	$0.30 per 1M
Official benchmark direction	Higher across the listed like-for-like tests	Lower baseline, but more established behavior

Grok 4.6 is the better first test for long coding, research, or application-building loops. The published gains justify evaluation because standard input/output rates did not increase.

Grok 4.5 is not obsolete. Its cheaper caching may matter in repetitive workflows. Run both with the same harness, reasoning effort, tasks, and acceptance criteria before switching.

Who Should—and Should Not—Use Grok 4.6?

Good fits

Grok 4.6 best suits cost-aware teams running multi-step coding, prototyping, technical analysis, or workflows that combine reasoning, tools, files, and visual inputs.

For recurring evidence collection, a persistent research-agent workflow can test source discipline over time—not merely one-off summary quality.

Reasons to wait or keep another model

Wait if deployment is high risk or hard to roll back. Keep a stronger terminal model if your tests reflect the Terminal-Bench gap, or Grok 4.5 when caching savings outweigh capability gains.

Test Grok 4.6 in an Always-On MyClaw Agent

MyClaw hosts private, always-on OpenClaw agents for repeatable evaluations that continue when your laptop is closed.

1. Launch a private workspace. Choose one of the current MyClaw plans based on the compute, storage, and tooling your test needs. Hosting and AI token charges are separate.

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2. Connect Grok 4.6 carefully. Add a compatible xAI or OpenRouter key, verify that Grok 4.6 is selectable in the current provider flow, and hold the comparison model, reasoning effort, and task instructions constant.
3. Measure finished work. Run the same repository or research task on each model, then compare correctness, tool turns, context growth, retries, latency, total cost, and required human cleanup.

Our verdict: Grok 4.6 is a strong, competitively priced model to test for agentic work, not an automatic replacement for every frontier model. Adopt it when your own tasks show better reliability and completed-work cost—not simply because it is newer.