The AI Provider With the Lowest Search Bill Is Not OpenAI or Google

Based on the public pricing sheets checked on March 15, 2026 in our broader AI token pricing comparison, the short answer is straightforward: xAI does, at $5 per 1,000 calls.

That does not make this the universal best buy. It makes it the cleanest answer to one narrow question: who currently owns the lowest clearly exposed search-tool fee. That distinction matters because a lot of teams still confuse the cheapest model row with the cheapest production stack.

The short answer

That beats OpenAI’s $10 per 1,000 search calls, Anthropic’s $10 per 1,000 searches, Gemini 3’s $14 per 1,000 search queries, and Gemini 2.5’s $35 per 1,000 grounded prompts.

The significance is not cosmetic. Search-heavy workflows can make tool fees large enough to dominate the cost difference between model rows that otherwise look close.

The pricing rows that matter

Provider	Search fee
xAI	$5 per 1,000 calls
OpenAI	$10 per 1,000 calls
Anthropic	$10 per 1,000 searches
Gemini 3	$14 per 1,000 search queries

When every turn is grounded, tool lines stop being a side note. They become part of the primary bill, which is why xAI can become much more attractive in specific grounded-answer products than headline model rankings suggest.

Why the headline can mislead

Search fee leadership is not whole-stack leadership. xAI can still become stickier and more expensive elsewhere once collections or other native tool state becomes central.

The cheapest search fee also does not answer the quality question. Grounding quality, tool behavior, and workflow fit still matter.

When this is the right pick

• you run search on most turns
• you want the clearest tool-fee advantage first
• you are optimizing grounded-answer economics more than platform breadth

When to ignore the headline

• you rarely use search
• you mainly need Google’s or OpenAI’s broader product surface
• you are price-shopping the wrong part of the workflow

Bottom line

If search is central to the product, xAI deserves more attention than its mindshare alone would suggest.

If you want the wider market context, start with the full provider-by-provider pricing breakdown and, for media-specific workloads, the separate image and video generation API comparison.