Grok 4.5, Fable 5·GPT 5.5 대비 압도적 저렴... 성능 격차 무의미?

Grok 4.5 is so cheap compared to Fable 5 and GPT 5.5 that benchmark gaps may not matter much Matthias Bastian View the LinkedIn Profile of Matthias Bastian Jul 8, 2026 Nano Banana Pro prompted by THE DECODER Ask about this article… Search xAI has released Grok 4.5. The model was trained on tens of thousands of Nvidia GB300 GPUs and targets coding, agentic tasks, and knowledge work. Benchmark results paint a mixed picture. On Terminal Bench 2.1, which tests complex command-line tasks, Grok 4.5 scores 83.3%, nearly matching GPT 5.5 (83.4%) and trailing Anthropic's Fable 5 (84.3%) by just one point. But the gaps widen elsewhere. On DeepSWE 1.1, which measures the ability to resolve real GitHub issues, Grok 4.5 hits 53%, well behind OpenAI's GPT-5.5 at 67% and Fable 5 at 70%. On SWE Bench Pro, a curated set of harder software engineering problems, it scores 64.7%, beating Opus 4.8 (69.2% with max settings) in some configurations but falling short of Fable 5's 80.4%. Ad Model DeepSWE 1.1 Terminal Bench 2.1 SWE Bench Pro Fable max 70% 84.3% 80.4% GPT 5.5 xhigh 67% 83.4% 58.6% Opus 4.8 max 59% 78.9% 69.2% Grok 4.5 53% 83.3% 64.7% GLM 5.2 44% 81.0% 62.1% xAI says it relied on heavy data filtering, deduplication, and domain-specific selection during training to keep data quality high. The reinforcement learning stage covered hundreds of thousands of tasks, mostly from software engineering, with automated scoring. xAI built the training infrastructure for asynchronous learning, so agentic runs could stretch over many hours while training continued in parallel. Ad DEC_D_Incontent-1 Grok 4.5 undercuts the competition on price Grok 4.5 costs $2 per million input tokens and $6 per million output tokens. That's already far below the competition. Opus 4.8 runs $5 input and $25 output per million tokens. Fable 5 charges $10 input and $50 output per million tokens. GPT-5.5 and GPT-5.6 sit at $5 input and $30 output . xAI also says Grok 4.5 uses 4.2 times fewer tokens than Opus 4.8 on SWE Bench Pro tasks and delivers results at 80 tokens per second. Lower per-token pricing and fewer tokens per task make Grok 4.5 by far the cheapest option in this performance tier, assuming the performance and efficiency gains hold up in practice. Ad Model Input (per 1M tokens) Output (per 1M tokens) Grok 4.5 $2 $6 Opus 4.8 $5 $25 GPT-5.5 / GPT-5.6 $5 $30 Fable 5 $10 $50 The pricing strategy echoes what Chinese vendors like Zhipu and DeepSeek have been doing: get close enough on performance, then win on price. Grok 4.5 is available now through Grok Build, Cursor , and the xAI console . Plugins are live for Word , PowerPoint , and Excel . The model isn't available in the EU yet, with xAI targeting a mid-July launch. xAI trained Grok 4.5 alongside the code editor Cursor, which SpaceX acquired in mid-June for $60 billion in stock . Ad DEC_D_Incontent-2 Ad AI News Without the Hype – Curated by Humans Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section. Subscribe now Source: xAI