SpaceXAI launches Grok 4.5, built for coding and agentic tasks, co-trained with Cursor

Grok 4.5

Grok 4.5 is SpaceXAI's strongest model, tuned for coding, agentic tasks, and knowledge work. It scores 62% on DeepSWE 1.0 and 64.7% resolve rate on SWE Bench Pro, though it trails Fable and GPT 5.5 on most listed benchmarks. The standout number is token efficiency: 15,954 output tokens on average per SWE Bench Pro task, 4.2× fewer than Opus 4.8. Inference speed is 80 TPS, priced at $2/$6 per million input/output tokens. The model was trained across tens of thousands of GB300 GPUs, with RL focused on multi-step software engineering. The post doesn't disclose parameter count, context window, or a precise EU launch date beyond mid-July. Available now in Grok Build, Cursor, and via API.

Why it matters: SpaceXAI launches Grok 4.5 targeting coding and agents, co-trained with Cursor — a real differentiator. 64.7% on SWE Bench Pro isn't top, but 16K avg output tokens (4.2x less than Opus 4.8) is a concrete cost edge. Pricing and latency not disclosed — those decide whether this ...