[Blog](https://brainbaselabs.com/blog) / [Model release](https://brainbaselabs.com/blog?topic=model-release) Aug 12, 2026·[Model release](https://brainbaselabs.com/blog?topic=model-release) # @spacexai/grok-4.6 is live on Brainbase Brainbase Team · 5 min read Grok 4.6 is now available on Brainbase as `@spacexai/grok-4.6`. Use it with any supported harness and sandbox through the same Universal Managed Agents API you already use for every other model. SpaceXAI released Grok 4.6 on August 12 with a specific focus on long-running agents, coding, knowledge work, and ambitious visual projects. It accepts text and image input, exposes 500,000 tokens of context, and supports reasoning, function calling, and structured outputs. ## Why Grok 4.6 matters for agents The biggest gains are in the work agents actually do: operating a terminal, moving through a codebase, calling tools over many turns, and producing finished work artifacts. SpaceXAI reports more self-testing and verification on long trajectories, plus stronger first passes on interactive and visual applications. That profile makes Grok 4.6 more interesting than a static benchmark bump. A model that reaches a good result in fewer turns consumes less context, makes fewer tool calls, and costs less to run as an agent. ## Grok 4.6 benchmarks On SpaceXAI's published evaluation set, Grok 4.6 reaches 61 on the Artificial Analysis Intelligence Index, tying GPT-5.6 Sol and gaining five points over Grok 4.5. It leads the compared models outright on GDPVal-AA v2, AA-Briefcase and Harvey LAB, and edges GPT-5.6 Sol on CursorBench, FrontierCode and APEX-Agents while trailing Claude Fable 5 on all three. It sits behind both frontier models on DeepSWE and Terminal-Bench 3.0. Select a metric below to compare the reported results. Grok 4.6 benchmark results - Grok 4.6: 61 - Grok 4.5: 56 - GPT-5.6 Sol: 61 - Claude Fable 5: 62 Source: [SpaceXAI, Introducing Grok 4.6](https://x.ai/news/grok-4-6) Independent testing from [Artificial Analysis](https://artificialanalysis.ai/articles/grok-4-6-benchmarks-and-analysis) confirms the 61 Intelligence Index score and highlights the agentic profile: 50.7% on τ³-Banking, 88.4% on Terminal-Bench v2.1, and an AA-Briefcase Elo of 1577. Its measured average cost was $0.84 per Intelligence Index task. ## Grok 4.6 pricing and context Grok 4.6 keeps Grok 4.5's headline pricing while adding five points on the Intelligence Index. Standard API pricing starts at the rates below; SpaceXAI applies higher rates when a request exceeds 200,000 context tokens, and its fast variant is priced at twice the standard rate. Grok 4.6 Price or limit Input tokens $2.00 / 1M tokens Cached input $0.50 / 1M tokens Output tokens $6.00 / 1M tokens Context window 500,000 tokens Fast variant 2× standard token pricing These are model-token prices before sandbox runtime, tool calls, and other infrastructure usage. For reasoning-heavy agents, output tokens usually dominate, which is why the $6 output rate matters. ## Run Grok 4.6 on Brainbase Select the model in the agent spec and leave the rest of your stack unchanged. This example runs Grok 4.6 inside the Codex harness on a managed sandbox: POST /v2/threadsbash ``` curl https://api.brainbaselabs.com/v2/threads \ -H "Authorization: Bearer $BRAINBASE_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "agent": { "harness": "codex", "model": "@spacexai/grok-4.6" }, "input": "Audit this repository, fix the highest-impact reliability issue, and run the tests." }' ``` ## Where Grok 4.6 fits Grok 4.6 is a strong default candidate for codebase-scale work, research that spans many tools, terminal-heavy tasks, and visual app generation. Its combination of frontier scores and lower token prices also makes it useful in routing policies where GPT-5.6 Sol or Claude would otherwise be selected for every hard task. Start with Grok 4.6 where agentic quality and cost both matter, then evaluate it against your production traces. 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