Warp Brings xAI's Grok 4.6 to Its Terminal, Matching GPT-5.6 on Key Benchmarks
Grok 4.6, xAI's frontier-class agentic model, lands in Warp Terminal and the new Warp Agent CLI via X Premium or SuperGrok
- Grok 4.6 is now available in Warp Terminal and the Warp Agent CLI via
/connect-grokusing an X Premium or SuperGrok subscription. - Grok 4.6 matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index (score: 61) and scores 69.9% on CursorBench v3.2.
- The model keeps the same 1.5T parameter base as Grok 4.5 but adds a longer SFT and RL post-training run focused on agentic and multi-step tasks.
- It features a 500K token context window and is priced at $2/M input tokens and $6/M output tokens via the SpaceXAI API.
- The Warp Agent CLI uses a tmux-like multiplexing architecture, letting the agent drive interactive apps like sqlite, vim, and Python REPLs natively.
- Grok 4.6 is also available in Cursor, Grok Build, OpenRouter, Vercel, and Cloudflare, with 2x usage included in Cursor and Grok Build for the first week.
Warp just added Grok 4.6 to both its terminal app and the newly launched Warp Agent CLI. If you have an X Premium or SuperGrok subscription, you can connect right now by running /connect-grok inside Warp -- no separate API key needed.
What Grok 4.6 actually is
Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work. It stays with complex tasks across many steps, whether researching a topic, analyzing information, working across a codebase, or turning an idea into a polished application.
The distinguishing bet in Grok 4.6 is capability gains through post-training, not scale. Where most frontier releases lean on a bigger base model, xAI held the 1.5T V9 foundation constant and poured the delta into supervised fine-tuning and reinforcement learning (RL). Supervised fine-tuning (SFT) shapes the model's behavior using curated examples; RL then pushes it further by rewarding good outcomes on hard tasks rather than just imitating examples.
Grok 4.6 underwent a longer supplemental training run than Grok 4.5, with curated model-generated data for reasoning and advanced technical concepts, high-quality engineering data, and an improved optimizer and training recipe.
How it benchmarks
Grok 4.6 achieves frontier intelligence across several agentic coding and knowledge work benchmarks, matching GPT-5.6 Sol on the Artificial Analysis Intelligence Index -- a composite score of nine benchmarks. Here is how it stacks up on the key evals:
| Benchmark | Grok 4.6 | Grok 4.5 | GPT-5.6 Sol |
|---|---|---|---|
| AA Intelligence Index | 61 | 56 | 61 |
| CursorBench v3.2 | 69.9% | 66.7% | 67.2% |
| DeepSWE v1.1 | 65.9% | 54% | 73% |
| APEX-Agents | 57.5% | 47.1% | 56.7% |
| Harvey LAB (Vals) | 15.8% | 12.9% | 2.5% |
Grok 4.6 does not establish an uncontested performance lead. Its launch instead presents a different proposition: frontier-level intelligence, large improvements over the previous generation, and stronger long-running agent behavior. The one area where it still trails is DeepSWE, where GPT-5.6 Sol scores 73% vs Grok 4.6's 65.9%.
What it is good at
- Grok 4.6 produces stronger first passes on visual and interactive projects than Grok 4.5. Given a concrete product idea, it can establish structure and visual language for an application in one pass.
- It stays with complex tasks across many steps, whether researching a topic, analyzing information, working across a codebase, or turning an idea into a polished work artifact.
- With a 500K token context window, it is well suited for intelligent agents, coding assistants, research tools, and interactive AI experiences.
- It is significantly better at difficult tasks and knowledge work, combining Opus-class intelligence and polish with low cost and high speed.
Where Warp fits in
The Grok 4.6 integration lands alongside a major expansion of Warp itself. The Warp Agent CLI is a standalone terminal program that runs the same agent that powers the Warp app, rendering conversations as a scrolling transcript with streaming responses, code diffs, tool calls, and more.
The Warp Agent CLI has a unique multiplexing architecture. Within an agent session, it runs and manages PTY connections with a layer of indirection between the agent and the underlying shell -- similar to how tmux works. The multiplexing is managed by Warp's terminal infrastructure, so the agent is natively aware of terminal inputs and outputs.
In plain terms: the agent can drive full-screen apps like sqlite, vim, or a Python REPL directly, not just run shell commands.
Some standout capabilities of the Warp Agent CLI that make it a strong home for Grok 4.6:
- Switch directories while in an agent session, and run agents on remote machines without installing remote binaries.
- Conversations save to your Warp account, so you can exit and resume later or switch between them.
- It is a multi-model, cost-optimizing harness with access to frontier and open-weight models and auto-routing based on task complexity.
- Separately from the Warp Agent, Warp gives third-party CLI coding agents first-class support -- run Claude Code, Codex, OpenCode, and others inside Warp with rich input, agent notifications, inline code review, and remote session control.
How to get started
Getting Grok 4.6 running in Warp takes one command if you already have an X Premium or SuperGrok subscription:
# Inside Warp terminal
/connect-grok
# Or install the Warp Agent CLI and use Grok 4.6 anywhere
curl -fsSL https://app.warp.dev/download/agent-cli | bashIf you want API access directly, pricing for Grok 4.6 starts at $2 per million input tokens and $6 per million output tokens, with a fast variant available at twice the price. Grok 4.6 is available in Cursor and Grok Build, with 2x included usage inside both platforms for the first week. It is also available in the SpaceXAI API and through partners including OpenRouter, Vercel, and Cloudflare.
For Warp specifically, subscriptions start at $18/month which includes $20 of inference. The SuperGrok path is the most direct if you are already paying for X Premium -- no separate billing required. The combination of a model that genuinely improves on long-horizon agentic tasks and a terminal that can actually drive interactive processes end-to-end is a meaningful step up from running a chat model in a sidecar panel.