Head-to-head AI model comparison graphic: GPT-5.6 Terra (OpenAI) vs Grok 4.6 (SpaceXAI). Intelligence index 32.3 vs 31.0; output speed 116 vs 62 tokens per second; time to first token 3.4 min vs 47s; output price $12.00 vs $6.00 per million tokens; input price $2.00 vs $2.00 per million tokens. franklineh.com
GPT-5.6 Terra vs Grok 4.6: head-to-head AI benchmark comparison. GPT-5.6 Terra leads on intelligence index and output speed; Grok 4.6 leads on time to first token and output price; level on input price.
Head to headUpdated

GPT-5.6 Terra Max vs Grok 4.6 Xhigh: speed, latency and cost

GPT-5.6 Terra Max leads the intelligence index 32.3 to 31.0. Price per token, response speed and when to pick each.

Pick it for GPT-5.6 Terra · Max

  • Higher intelligence index: 32.3 against 31.0.
  • Higher throughput once writing (116 tokens per second against 62 tokens per second), though it only finishes first beyond about 21,000 tokens.

Pick it for Grok 4.6 · Xhigh

  • Shorter wait for the first token: 47 seconds against 3.4 minutes.
  • Lower cost: $3.20 against $4.40 for 1 million input and 200,000 output tokens.
  • Finishes a typical reply sooner: about 60 seconds against 3.5 minutes for 800 tokens, counting the first-token wait.

By the numbers

MetricGPT-5.6 Terra (Max)Grok 4.6 (Xhigh)
Intelligence Index32.331.0
Input price (per 1M tokens)$2.00$2.00
Output price (per 1M tokens)$12.00$6.00
Output speed (tokens/s)11662
Time to first token3.4 min47s
Release date2026-07-092026-08-12

There is very little daylight between GPT-5.6 Terra (Max) (OpenAI) and Grok 4.6 (Xhigh) (SpaceXAI) on the overall index. GPT-5.6 Terra Max streams output at about 116 tokens per second, 1.9 times the rate of Grok 4.6 Xhigh. No hands-on testing went into this write-up; it summarises the recorded benchmark, price and speed data for both models.

GPT-5.6 Terra Max is the faster writer

GPT-5.6 Terra Max generates about 116 tokens per second and Grok 4.6 Xhigh about 62 tokens per second. GPT-5.6 Terra Max is ahead by 87% on throughput. Before any text appears, GPT-5.6 Terra Max takes 3.4 minutes and Grok 4.6 Xhigh 47 seconds. On total time, Grok 4.6 Xhigh wins at ordinary lengths; GPT-5.6 Terra Max's higher throughput only pays off beyond about 21,000 tokens. A first-token wait of that length suits background work better than live conversation.

Add the two numbers up for an 800-token reply and Grok 4.6 Xhigh finishes first: 3.5 minutes for GPT-5.6 Terra Max, 60 seconds for Grok 4.6 Xhigh.

How the intelligence index compares

GPT-5.6 Terra Max records 32.3 on the intelligence index and Grok 4.6 Xhigh records 31.0. That is a modest edge: real, but small enough that the right set of tasks could reverse it.

Across the 109 active models with an intelligence score in the catalogue, GPT-5.6 Terra Max ranks 46th and Grok 4.6 Xhigh ranks 49th.

For coding or maths work specifically, the catalogue has no dedicated index on either side yet.

Release timing

Grok 4.6 Xhigh arrived on August 12, 2026, 34 days after GPT-5.6 Terra Max (July 9, 2026). That is close enough to count them as the same generation.

Running costs

GPT-5.6 Terra Max lists $2.00 per million input tokens and $12.00 per million output tokens; Grok 4.6 Xhigh lists $2.00 and $6.00. GPT-5.6 Terra Max costs twice as much per output token.

Take 1 million input tokens and 200,000 output tokens: that comes to $4.40 on GPT-5.6 Terra Max and $3.20 on Grok 4.6 Xhigh. Scale it up to a chat app with 50,000 sessions of 800 input and 300 output tokens and the bill is $260 for GPT-5.6 Terra Max against $170 for Grok 4.6 Xhigh. On a 3:1 blend of input to output tokens, that works out to $4.50 versus $3.00 per million.

Value for money

A blunt value measure, blended price over intelligence score, puts GPT-5.6 Terra Max at $0.14 and Grok 4.6 Xhigh at $0.097 per point. Grok 4.6 Xhigh delivers each index point for 31% less; whether GPT-5.6 Terra Max's extra 1.3 points are worth the premium depends on how often your tasks need them.

Frequently asked questions

Is Grok 4.6 Xhigh better than GPT-5.6 Terra Max?

Not across the board: GPT-5.6 Terra Max scores higher on the intelligence index, 32.3 to 31.0; Grok 4.6 Xhigh is 33% cheaper on blended price; GPT-5.6 Terra Max streams output 1.9 times as fast; and Grok 4.6 Xhigh reaches its first token sooner.

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.

Does GPT-5.6 Terra Max respond faster than Grok 4.6 Xhigh?

GPT-5.6 Terra Max generates output faster, at 116 tokens per second against 62 tokens per second. Grok 4.6 Xhigh reaches its first token sooner (47 seconds against 3.4 minutes). Counting the first-token wait, Grok 4.6 Xhigh finishes first for any reply shorter than about 21,000 tokens.

Are GPT-5.6 Terra Max and Grok 4.6 Xhigh from the same company?

GPT-5.6 Terra Max is made by OpenAI and Grok 4.6 Xhigh by SpaceXAI. GPT-5.6 Terra Max was released on July 9, 2026 and Grok 4.6 Xhigh on August 12, 2026.

Is Grok 4.6 Xhigh cheaper than GPT-5.6 Terra Max?

Grok 4.6 Xhigh is cheaper on a blended basis. GPT-5.6 Terra Max lists $2.00 per million input tokens and $12.00 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 $4.40 against $3.20.

Final whistle

Bottom line: Grok 4.6 Xhigh is the stronger all-round pick on this data, while GPT-5.6 Terra Max makes sense in narrower cases. Pick Grok 4.6 Xhigh if users are waiting on the first word and cost matters ($6.00 against $12.00 per million output tokens). Pick GPT-5.6 Terra Max if you need the higher overall score (32.3 against 31.0) and you generate very long outputs, beyond about 21,000 tokens.

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-5.6 Terra (Max) and Grok 4.6 (Xhigh) pages. The AI Benchmark methodology explains how that data is collected and shown.

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