grok-4.3

By price, grok-4.3 ranks 43rd cheapest of 68 on input and 33rd on output. Its quality score of 89 ranks 26th of 68, and on value (quality score ÷ output price) it ranks 33rd of 68. Its blended rate sits 47% below the catalog average.

In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $188 per month on grok-4.3, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $240. Because output is priced 2.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.

A 131K context window holds roughly 175 pages of A4 text (at ~750 tokens per page), ranking 47th of 68 here. That covers typical RAG and multi-turn chat, though book-length inputs still need retrieval and chunking. Output runs at about 100 tok/s (30th fastest of 68), acceptable interactively, though long responses will feel slow.

We track 3 xAI models, and grok-4.3's blended rate sits 23% below that provider's average. If your task tolerates a little less headroom, Hunyuan HY3 (Tencent) blends about 94% cheaper at a quality score of 87, and is worth benchmarking first. Going the other way, qwen3.5 scores 91 on quality for about 93% less.

The closest model in xAI's line-up is grok-4.20 ($1.25 input / $2.50 output, quality —). Against it, grok-4.3 scores 89 points higher on quality, has a 1869K smaller context window. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.