#xAI

Grok 4.5 is the top non-Anthropic model on AA-Briefcase, combining frontier agentic knowledge work capabilities with leading cost and time-efficiency Yesterday @SpaceXAI released Grok 4.5, a new frontier-level model with strengths in agentic coding and knowledge work. On AA-Briefcase, Grok 4.5 scores 1328, a +578 improvement over Grok 4.3 and the highest score of any non-Anthropic model (note that GPT-5.6 not released yet). It achieves this while sitting on the cost and time efficiency frontier, averaging $1.12 per task, 86% lower than Claude Opus 4.8 (max), and 12.4 minutes per task, around half the time of Opus 4.8 (max). AA-Briefcase is our new proprietary benchmark for agentic knowledge work, testing models on a fully private dataset of realistic tasks across thousands of complex input files. Tasks require deliverables like spreadsheets, presentations, and UI mock-ups, with performance combined into a single AA-Briefcase Elo across correctness, analytical quality, and presentation quality. Key results for Grok 4.5 with high reasoning on AA-Briefcase: ➤ Frontier agentic knowledge work capabilities: Grok 4.5 achieves an AA-Briefcase Elo of 1328, the highest score of any non-Anthropic model, behind only Claude Fable 5 (1390), Claude Sonnet 5 (max, 1390), and Claude Opus 4.8 (max, 1354). Across the three AA-Briefcase scoring axes, Grok 4.5 is strongest on objective rubric criteria and analytical quality, with comparatively weaker presentation quality. It achieves the second-highest overall rubric pass rate (40.7%), behind Claude Fable 5 (56%) and Claude Sonnet 5 (42.3%) ➤ Leading cost efficiency: Grok 4.5 averages a cost of $1.12 per AA-Briefcase task, placing it on the cost-performance Pareto frontier. This is much most cost effective than peer models such as Claude Opus 4.8 (max, $8.26) and GLM 5.2 (max, $1.71) ➤ Faster task completion: Grok 4.5 averages 12.4 minutes per AA-Briefcase task, also placing it on the speed-performance frontier. It is much faster than Claude Opus 4.8 (max, 23.9 min) and Claude Sonnet 5 (max, 36.9 min), primarily due to lower turn use. Grok 4.5 averages just 23 turns per task, ~40% of GLM 5.2 (max, 56) and ~13% of Claude Sonnet 5 (max, 183) Congratulations to @SpaceXAI, @cursor_ai, and @elonmusk on the impressive release!

Grok 4.5 from @SpaceXAI is live on OpenClaw. No OpenClaw update required, just connect your X Premium or SuperGrok subscription, select Grok 4.5 under the xAI provider, and use an Opus-class model that’s fast, low cost, and ready for agentic work.

SpaceXAI has added SWE Marathon benchmark to Grok 4.5 blog Grok 4.5 ranks #1 in SWE Marathon

SpaceXAI's Grok 4.5 takes the #1 spot on AutomationBench-AA with a score of 51%, ahead of Claude Fable 5 (49%) and Claude Opus 4.8 (48%) at roughly a quarter of their cost per task - the first model to complete more than half of workflow objectives without breaking any business rules AutomationBench-AA, our independent leaderboard for @zapier’s AutomationBench, tests whether AI agents can automate real SaaS workflows while adhering to business rules. The test set is private to prevent contamination. Models complete 657 tasks across 40 simulated app environments including Gmail, Google Sheets, Slack, Salesforce, and HubSpot, and the headline score is the share of objectives completed without violating any guardrails. Key takeaways: ➤ Grok 4.5 completes more objectives than any other model: It completes 79.9% of task objectives and strictly passes 21.9% of tasks. This is the highest we’ve measured on both outcomes, exceeding Claude Fable 5’s 73.3% objective completion and Claude Opus 4.8’s 19.3% of fully-completed tasks ➤ Grok 4.5 pushes out the Pareto frontier of score vs. cost per task: At $0.34 per task, it is both cheaper and higher-scoring than every other leading model - Claude Fable 5 ($1.35 per task), Claude Opus 4.8 ($1.46), GPT-5.5 (xhigh, $1.28), and Gemini 3.5 Flash (high, $0.49) ➤ It is extremely token-efficient: Grok 4.5 uses ~8k output tokens per task, the fewest of any leading model - less than a quarter of Claude Opus 4.8 (32k) and a third of Gemini 3.5 Flash (24k). Its total token usage of 0.44M per task is among the lowest on the leaderboard. Low cost is driven by this efficiency as well as low token pricing ➤ Grok 4.5 uses fewer turns with many parallel tool use: Grok 4.5 resolves tasks in ~16 turns, fewer than GPT-5.5 (xhigh, 25) and less than half of Gemini 3.5 Flash (high, 35), while making the most tool calls per task of any leading model (52.5). It batches 3.3 tool calls per turn, compared to ~2.5 for Claude Opus 4.8 and ~2.0 for GPT-5.5 (xhigh) ➤ Guardrails still get broken: Grok 4.5 triggers 0.63 violations per task, above Claude Opus 4.8 (0.55) and Gemini 3.5 Flash (0.46). At 13.0 objectives completed per violation, it trails Gemini 3.5 Flash (15.0) and Claude Opus 4.8 (13.5) ➤ Its strongest lead is in the hardest domain: Grok 4.5 completes 71% of Finance objectives, the domain with the lowest average score, ahead of Claude Fable 5 (64%) and Claude Opus 4.8 (62%) Congratulations to @SpaceXAI and @elonmusk on topping the leaderboard!

I think AI has just hit a gigantic threshold, and Grok 4.5 is the PERFECT example as to why that is. One of the hardest parts of working with AI is iterating on a project or task that you're working on. As the models have gotten smarter (and more expensive), it's taking longer and longer to get an answer or action back. This creates a ton of stall time per query or action, which is actually quite bad for creativity and staying in a state of flow. You have SO many extended starts and stops. Which inevitably leads to your brain going somewhere else. And then when the AI comes back, you have to redirect your brain to that original task, spool your brain back up to what you were working on at that moment, and then adjust as needed. There's a ton of mental friction involved. This ESPECIALLY sucks when the AI takes a REALLY long time to get something back for you, but it's not quite what you were looking for or asked for. And what sucks EVEN MORE is that these "mistakes" are getting MORE expensive!!! So wait time is going up. AND it costs more per run. HOWEVER - even after using Grok 4.5 for about an hour - what's become obvious is that it's SO MUCH MORE ENJOYABLE AND BETTER to use a model that is FAST... and capable ENOUGH. Capable ENOUGH is the real unlock here. Imagine having Fable 5 performance but at the speed of Gemini 3.5 flash. Or Haiku. That's where we're inevitably going. I think Grok 4.5 (and models like it) have really solved for one of the biggest unlocks in AI - a model that will get you a GOOD ENOUGH answer VERY FAST, at which point iteration can happen VERY QUICKLY. This - counter intuitively - keeps the user in a state of flow and creativity for MUCH longer because you are constantly ENGAGED with your project... instead of letting the AI loose for a long time. And as long as humans are involved, I think 'not quite right' will be a FOREVER problem with AI - because AIs, by default, CANNOT have human taste. Because they are NOT human. But they can be UNBELIEVABLE tools. And unbelievable tools are the ones that are VERY GOOD and VERY FAST. I think that's the true unlock with Grok 4.5 and models like it. Difficult to describe until you experience it. I think this is a VERY big deal for @SpaceXAI and @elonmusk.

Grok 4.5 is #1 on Harvey's Legal Agent Benchmark

We obtained early access to evaluate @SpaceXAI's newest Grok 4.5 model on GDPval+: real professional deliverables (from a variety of economic sectors and occupations), graded against expert-authored rubrics. Grok 4.5: 29%. GPT 5.5: 22%. Claude Opus 4.8: 21%.

We've partnered with SpaceXAI to train Grok 4.5. It’s our most powerful model yet and the first we've built for more than software engineering.

Announcing Grok 4.5, our first model trained specifically for coding and agents. It was trained with Cursor and offers frontier intelligence at leading speeds and cost efficiency. https://x.ai/news/grok-4-5

We've partnered with SpaceXAI to train Grok 4.5. It’s our most powerful model yet and the first we've built for more than software engineering.

Based on strong positive feedback from customers in our beta test program, @SpaceXAI will make Grok 4.5 available to the public tomorrow. It is an Opus-class model, but faster, more token-efficient and lower cost.

更新你的 Grok 应用！15 秒 Imagine 视频现已上线，画质令人惊叹。

BREAKING 🔥: TRACES OF GROK 4.5 HAVE BEEN SPOTTED ON THE GROK WEB! > Unlock the full power of Chat with Grok 4.5 SOON 👀

"Anything that involves information, anything short of shaping atoms, AI can do 50% of all those jobs right now" - Elon Musk He says white-collar work goes first because it only manipulates information, not atoms. If a job is basically typing, clicking, researching, writing, analyzing or teaching on a screen, AI can do it. The shift will lag due to inertia, but competition will force faster adoption when AI-heavy firms outperform AI-light firms. And then humanoid robots will take most blue-collar jobs. Once machines can “shape atoms,” robots will do physical work in factories, logistics, maintenance, construction, and even run data centers. He expects far more humanoid robots than humans, initially scarce then plentiful, with the main bottlenecks being power, cooling, and materials, not software. --- Video from 'Peter H. Diamandis' YT channel (full link in comment)

@chamath AI+Robots will be able to do everything, resulting in universal high income. Work will be optional.

Grok's realtime voice is now on AI Gateway. Build with AI SDK 7: • 𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚟𝚘𝚒𝚌𝚎-𝚝𝚑𝚒𝚗𝚔-𝚏𝚊𝚜𝚝-𝟷.𝟶 (𝚞𝚜𝚎𝚁𝚎𝚊𝚕𝚝𝚒𝚖𝚎) • 𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚝𝚝𝚜 (𝚐𝚎𝚗𝚎𝚛𝚊𝚝𝚎𝚂𝚙𝚎𝚎𝚌𝚑) • 𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚜𝚝𝚝 (𝚝𝚛𝚊𝚗𝚜𝚌𝚛𝚒𝚋𝚎) https://vercel.com/changelog/xai-grok-audio-models-now-available-on-vercel-ai-gateway