Head-to-head AI model comparison graphic: GPT-6 Luna (OpenAI) vs Grok 4.6 (SpaceXAI). Intelligence index 27.9 vs 31.0; output speed 121 vs 62 tokens per second; time to first token 2.0 min vs 47s; output price $0.50 vs $6.00 per million tokens; input price $0.10 vs $2.00 per million tokens. franklineh.com
GPT-6 Luna vs Grok 4.6: head-to-head AI benchmark comparison. GPT-6 Luna leads on output speed, output price and input price; Grok 4.6 leads on intelligence index and time to first token.
Head to headUpdated

GPT-6 Luna Max vs Grok 4.6 Xhigh: price, speed and benchmarks

Grok 4.6 Xhigh leads the intelligence index 31.0 to 27.9. GPT-6 Luna Max costs 93% less on blended price. See token costs, speed and which to pick.

Pick it for GPT-6 Luna · Max

  • Lower cost: $0.20 against $3.20 for 1 million input and 200,000 output tokens.
  • Higher throughput once writing (121 tokens per second against 62 tokens per second), though it only finishes first beyond about 9,500 tokens.
  • The newer release (September 2026).

Pick it for Grok 4.6 · Xhigh

  • Higher intelligence index: 31.0 against 27.9.
  • Finishes a typical reply sooner: about 53 seconds against 2.1 minutes for 400 tokens, counting the first-token wait.
  • Shorter wait for the first token: 47 seconds against 2.0 minutes.

By the numbers

MetricGPT-6 Luna (Max)Grok 4.6 (Xhigh)
Intelligence Index27.931.0
Input price (per 1M tokens)$0.10$2.00
Output price (per 1M tokens)$0.50$6.00
Output speed (tokens/s)12162
Time to first token2.0 min47s
Release date2026-09-222026-08-12

This comparison puts OpenAI's GPT-6 Luna (Max) next to SpaceXAI's Grok 4.6 (Xhigh). Price separates them more than anything else; on a blended basis Grok 4.6 Xhigh costs 15 times as much as GPT-6 Luna Max. No hands-on testing went into this write-up; it summarises the recorded benchmark, price and speed data for both models.

Token pricing and a sample bill

GPT-6 Luna Max lists $0.10 per million input tokens and $0.50 per million output tokens; Grok 4.6 Xhigh lists $2.00 and $6.00. That makes GPT-6 Luna Max's output 92% cheaper.

A reference job of 1 million input tokens and 200,000 output tokens costs $0.20 with GPT-6 Luna Max and $3.20 with Grok 4.6 Xhigh, so GPT-6 Luna Max saves $3.00. For a support assistant answering 10,000 conversations of 2,000 input and 500 output tokens each, GPT-6 Luna Max would come in 94% lower: $4.50 for GPT-6 Luna Max against $70.00 for Grok 4.6 Xhigh.

Which is newer

The release dates are August 12, 2026 for Grok 4.6 Xhigh and September 22, 2026 for GPT-6 Luna Max, 41 days apart. They are effectively contemporaries.

Waiting time

Once a response is under way, GPT-6 Luna Max produces roughly 121 tokens per second against 62 tokens per second for Grok 4.6 Xhigh. GPT-6 Luna Max is ahead by 95% on throughput. Time to first token is 2.0 minutes for GPT-6 Luna Max and 47 seconds for Grok 4.6 Xhigh. The faster writer, GPT-6 Luna Max, gives away too much at the start to win on time: counting the first-token wait, Grok 4.6 Xhigh finishes first for any reply shorter than about 9,500 tokens. A first-token wait of that length suits background work better than live conversation.

Add the two numbers up for a 400-token reply and Grok 4.6 Xhigh finishes first: 2.1 minutes for GPT-6 Luna Max, 53 seconds for Grok 4.6 Xhigh.

Grok 4.6 Xhigh leads on the intelligence index

The catalogue puts GPT-6 Luna Max at 27.9 and Grok 4.6 Xhigh at 31.0 on its intelligence index. That is a clear margin for an index that averages many evaluations. In relative terms, Grok 4.6 Xhigh scores 11% higher.

Among 109 active scored models, GPT-6 Luna Max sits 62nd and Grok 4.6 Xhigh 49th.

There are no coding or math index scores for either model in the catalogue, which keeps this comparison at the aggregate level.

Cost per point of intelligence

Per point of intelligence index, GPT-6 Luna Max costs $0.0072 of blended price per million tokens and Grok 4.6 Xhigh $0.097. Grok 4.6 Xhigh costs 13 times as much per point, which is the price of its lead.

Frequently asked questions

Is GPT-6 Luna Max better than Grok 4.6 Xhigh?

Not across the board: Grok 4.6 Xhigh scores higher on the intelligence index, 31.0 to 27.9; GPT-6 Luna Max is 93% cheaper on blended price; GPT-6 Luna Max streams output twice as fast; and Grok 4.6 Xhigh reaches its first token sooner.

Which is cheaper, GPT-6 Luna Max or Grok 4.6 Xhigh?

GPT-6 Luna Max is cheaper on a blended basis. GPT-6 Luna Max lists $0.10 per million input tokens and $0.50 per million output tokens; Grok 4.6 Xhigh lists $2.00 and $6.00. For 1 million input and 200,000 output tokens that is $0.20 against $3.20.

Who makes GPT-6 Luna Max and Grok 4.6 Xhigh?

GPT-6 Luna Max is made by OpenAI and Grok 4.6 Xhigh by SpaceXAI. GPT-6 Luna Max was released on September 22, 2026 and Grok 4.6 Xhigh on August 12, 2026.

Where do these numbers come from?

The figures are the recorded benchmark, price and speed data in Franklin AI's model catalogue. This page is written from that data automatically; neither model was tested by hand for it.

Which is faster, GPT-6 Luna Max or Grok 4.6 Xhigh?

GPT-6 Luna Max generates output faster, at 121 tokens per second against 62 tokens per second. Grok 4.6 Xhigh reaches its first token sooner (47 seconds against 2.0 minutes). Counting the first-token wait, Grok 4.6 Xhigh finishes first for any reply shorter than about 9,500 tokens.

Final whistle

In one line: GPT-6 Luna Max is the stronger all-round pick on this data, while Grok 4.6 Xhigh makes sense in narrower cases. Pick GPT-6 Luna Max if cost matters ($0.50 against $6.00 per million output tokens) and you generate very long outputs, beyond about 9,500 tokens. Pick Grok 4.6 Xhigh if you need the higher overall score (31.0 against 27.9) and replies need to finish sooner at typical lengths.

Where the numbers come from

The scores, speed and prices in this comparison come from independent third-party model evaluations that Franklin AI syncs each day, and the article was written from a snapshot of them. For the latest results, open the GPT-6 Luna (Max) and Grok 4.6 (Xhigh) pages. The AI Benchmark methodology explains how that data is collected and shown.

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