xAI released Grok 4.6 on August 12, 2026, and the headline number is efficiency, not just intelligence. The model scores 61 on the Artificial Analysis Intelligence Index, tying GPT-5.6 Sol and sitting just behind Claude Opus 5 (63) and Claude Fable 5 (62). What sets it apart is cost: Grok 4.6 ships at $2 per million input tokens and $6 per million output tokens, and on long-horizon agent work it finishes the same tasks in roughly half the turns of its closest rival. For creators building apps, sites, and multi-step agent workflows, that combination of frontier-level reasoning and low per-task cost is the real story.
xAI positions 4.6 as a refinement of Grok 4.5 with a specific focus on long-running agents and more ambitious interactive and visual work. The official announcement frames it around three capabilities: sustaining complex tasks across many steps, turning product ideas into working prototypes, and self-testing its own output before moving on. This is a working model built for people who ship, and it is available today through the API and major coding tools.
What Grok 4.6 Actually Changes
Grok 4.5 was already competitive on coding. Grok 4.6 tightens three things that matter when a model is doing real work rather than answering one-shot prompts. First, agentic endurance: the model holds context and intent across long chains of tool calls without drifting. Second, self-verification, meaning it checks its own work and re-runs tests before declaring a step done, which cuts the number of broken hand-offs. Third, interactive and visual generation, where it turns a product idea into a functional prototype spanning software engineering, CAD, and web development.
The context window stays at 500k tokens, unchanged from Grok 4.5, so the gains come from how the model uses its budget rather than a bigger window. That is a deliberate design choice: instead of throwing more tokens at a problem, 4.6 spends fewer of them more precisely.
The Benchmarks: Where Grok 4.6 Lands
On the composite Artificial Analysis Intelligence Index, Grok 4.6 reaches 61, joining the frontier tier. The independent benchmark breakdown shows it is strongest on the agentic and terminal-style tasks that map to real developer work.
| Model | AA Intelligence Index | Input / Output ($/1M) | Context |
|---|---|---|---|
| Claude Opus 5 | 63 | Premium tier | Large |
| Claude Fable 5 | 62 | Mid tier | Large |
| Grok 4.6 | 61 | $2 / $6 | 500k |
| GPT-5.6 Sol | 61 | Premium tier | Large |
| Kimi K3 | Just under 61 | Low tier | Large |
On task-level benchmarks, Grok 4.6 posts 88.4% on Terminal-Bench v2.1, 69.9% on CursorBench v3.2, 65.9% on DeepSWE v1.1, and 61.3% on FrontierCode v1.1. On agentic evaluations it reaches 57.5% on APEX-Agents, 50.7% on the banking split of a tool-use benchmark, and a 1753 Elo on GDPval-AA v2. The pattern is consistent: 4.6 is a coding and agent specialist that reaches the frontier on the workloads creators actually run.
Cost and Efficiency: The Real Story
Raw intelligence scores hide the most important number. Artificial Analysis measured Grok 4.6 completing long-horizon tasks in about 53 turns using roughly 0.5 billion input tokens on average. Claude Opus 5, running the same class of work, took about 103 turns and 2.0 billion input tokens. Grok 4.6 does comparable work with roughly a quarter of the token throughput and half the steps.
That efficiency compounds with the price. At $2 per million input tokens, $6 per million output tokens, and cache hits discounted to $0.5 per million, the measured cost landed at about $0.84 per task. A faster variant is available at double the standard rate for latency-sensitive work. For an agent that runs hundreds of times a day, the difference between 0.5B and 2.0B tokens per task is the difference between a viable product and a runaway bill.
How to Put Grok 4.6 to Work
Here is a concrete workflow to evaluate Grok 4.6 on a real build rather than a toy prompt. This is the fastest path to knowing whether it belongs in your stack.
- Wire it into your editor. Grok 4.6 is available in Cursor, Grok Build, the xAI API console, and through partners including OpenRouter and Vercel. Pick the surface you already use so you are testing the model, not a new tool.
- Give it a multi-step build, not a snippet. Ask it to scaffold a small app end to end: schema, API routes, a front end, and tests. The 4.6 improvements only show up on tasks long enough to need self-verification.
- Let it self-test. Enable test execution in your agent loop. 4.6 is trained to run its own checks and fix failures before reporting done, so the payoff appears when you let it iterate.
- Watch the turn count. Track how many tool calls it takes to finish versus your current model. The efficiency claim is verifiable on your own repo, and it is where the cost savings live.
- Compare cost per completed task. Divide your total token spend by finished tasks, not by prompts. That is the metric where 4.6 separates from premium-tier models.
What this enables: a coding agent that runs at frontier quality but at a per-task cost low enough to leave running continuously. For solo builders and small teams, that turns "occasional AI assist" into "always-on agent" without the budget anxiety.
Grok 4.6 vs the Frontier: Should You Switch?
If you are already on Claude Opus 5 for maximum reasoning quality, 4.6 is not a clear upgrade on raw intelligence; Opus 5 still leads the index at 63. But if your workload is agentic coding at volume, the calculus changes. Grok 4.6 matches GPT-5.6 Sol on the composite index, beats most models on terminal and agent benchmarks, and does it at a fraction of the token cost. Our earlier look at Grok 4.5 versus Opus and GPT on coding found xAI competitive on price even then; 4.6 widens that gap on efficiency.
The honest recommendation: keep a premium model for the hardest one-shot reasoning, and route your high-volume agent loops to Grok 4.6. Many teams already run this split, and 4.6 makes the cheaper leg of it noticeably stronger.
Frequently Asked Questions
When was Grok 4.6 released?
xAI released Grok 4.6 on August 12, 2026, with immediate availability through the API console, Cursor, Grok Build, OpenRouter, and Vercel.
How much does Grok 4.6 cost?
Standard pricing is $2 per million input tokens and $6 per million output tokens, with cache hits discounted to $0.5 per million. A faster variant runs at double the standard rate. Measured cost on long tasks was about $0.84 each.
How does Grok 4.6 compare to Claude Opus 5 and GPT-5.6 Sol?
On the Artificial Analysis Intelligence Index, Grok 4.6 scores 61, tying GPT-5.6 Sol and trailing Claude Opus 5 (63) and Claude Fable 5 (62). It leads on terminal and agent benchmarks and is dramatically more token-efficient on long tasks.
What is the Grok 4.6 context window?
Grok 4.6 keeps the 500k-token context window from Grok 4.5. The gains in 4.6 come from more efficient use of that budget rather than a larger window.
Is Grok 4.6 better than Grok 4.5?
Yes for agent and coding workloads. Grok 4.6 improves agentic endurance, self-verification, and interactive or visual prototype generation while keeping the same context window and a similar price point.
What is Grok 4.6 best at?
Long-running agentic coding, terminal tasks, and turning product ideas into working prototypes across software, CAD, and web development. Its standout trait is finishing tasks in fewer turns and tokens than premium competitors.
What to Do Next
Point one real agent loop at Grok 4.6 this week and measure cost per completed task against your current model. If you build multi-step agents or ship prototypes at volume, the efficiency gains are large enough to change your economics. Read the full xAI release notes for the complete benchmark set, then compare it against our coverage of Grok Build turning prompts into apps to see the toolchain 4.6 slots into.
