Head-to-head AI model comparison graphic: GPT-6.1 Terra (OpenAI) vs Grok 4.7 (SpaceXAI). Intelligence index 51.3 vs 35.5; output speed 114 vs 65 tokens per second; time to first token 6.2 min vs 43s; output price $5.00 vs $6.00 per million tokens; input price $1.00 vs $2.00 per million tokens. franklineh.com
GPT-6.1 Terra vs Grok 4.7: head-to-head AI benchmark comparison. GPT-6.1 Terra leads on intelligence index, output speed, output price and input price; Grok 4.7 leads on time to first token.
Head to headUpdated

GPT-6.1 Terra Max vs Grok 4.7 Xhigh: benchmark scores compared

GPT-6.1 Terra Max leads the intelligence index 51.3 to 35.5. Compare price, speed, latency and a clear verdict.

Pick it for GPT-6.1 Terra · Max

  • Higher intelligence index: 51.3 against 35.5.
  • Lower cost: $2.00 against $3.20 for 1 million input and 200,000 output tokens.
  • Higher throughput once writing (114 tokens per second against 65 tokens per second), though it only finishes first beyond about 49,000 tokens.

Pick it for Grok 4.7 · Xhigh

  • Shorter wait for the first token: 43 seconds against 6.2 minutes.
  • Finishes a typical reply sooner: about 59 seconds against 6.3 minutes for 1,000 tokens, counting the first-token wait.

By the numbers

MetricGPT-6.1 Terra (Max)Grok 4.7 (Xhigh)
Intelligence Index51.335.5
Input price (per 1M tokens)$1.00$2.00
Output price (per 1M tokens)$5.00$6.00
Output speed (tokens/s)11465
Time to first token6.2 min43s
Release date2026-10-262026-09-21

This matchup crosses tiers: GPT-6.1 Terra (Max) from OpenAI against Grok 4.7 (Xhigh) from SpaceXAI. Their widest difference is the intelligence index, with GPT-6.1 Terra Max ahead by 15.8 points (51.3 versus 35.5). No hands-on testing went into this write-up; it summarises the recorded benchmark, price and speed data for both models.

GPT-6.1 Terra Max leads on the intelligence index

On the intelligence index, GPT-6.1 Terra Max scores 51.3 against 35.5 for Grok 4.7 Xhigh. The difference is large enough that the lower-scoring model has to win on cost or speed to stay in the running. Put another way, Grok 4.7 Xhigh would need 45% more on this index to draw level.

Among 109 active scored models, GPT-6.1 Terra Max sits 14th and Grok 4.7 Xhigh 38th.

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

Running costs

The list prices are $1.00 in and $5.00 out for GPT-6.1 Terra Max, and $2.00 in and $6.00 out for Grok 4.7 Xhigh, per million tokens. For output tokens, Grok 4.7 Xhigh is 1.2 times the price of GPT-6.1 Terra Max.

Take 1 million input tokens and 200,000 output tokens: that comes to $2.00 on GPT-6.1 Terra Max and $3.20 on Grok 4.7 Xhigh. Scale it up to a month of coding-assistant traffic at 30 million input and 3 million output tokens and the bill is $45.00 for GPT-6.1 Terra Max against $78.00 for Grok 4.7 Xhigh.

Throughput and time to first token

GPT-6.1 Terra Max generates about 114 tokens per second and Grok 4.7 Xhigh about 65 tokens per second. That makes GPT-6.1 Terra Max roughly 1.8 times as fast at writing. Before any text appears, GPT-6.1 Terra Max takes 6.2 minutes and Grok 4.7 Xhigh 43 seconds. The faster writer, GPT-6.1 Terra Max, gives away too much at the start to win on time: counting the first-token wait, Grok 4.7 Xhigh finishes first for any reply shorter than about 49,000 tokens. A first-token wait of that length suits background work better than live conversation.

For a 1,000-token response, first token plus generation comes to roughly 6.3 minutes on GPT-6.1 Terra Max and 59 seconds on Grok 4.7 Xhigh.

Score per dollar

Dividing the blended price by the intelligence index gives a rough cost per point: $0.039 for GPT-6.1 Terra Max and $0.085 for Grok 4.7 Xhigh, per million tokens. GPT-6.1 Terra Max scores higher and costs less per point, so on price per point there is nothing to trade off.

When they came out

The release dates are September 21, 2026 for Grok 4.7 Xhigh and October 26, 2026 for GPT-6.1 Terra Max, 35 days apart. That is close enough to count them as the same generation.

Common questions about GPT-6.1 Terra Max and Grok 4.7 Xhigh

Is GPT-6.1 Terra Max better than Grok 4.7 Xhigh?

Not across the board: GPT-6.1 Terra Max scores higher on the intelligence index, 51.3 to 35.5; GPT-6.1 Terra Max is 33% cheaper on blended price; GPT-6.1 Terra Max streams output 1.8 times as fast; and Grok 4.7 Xhigh reaches its first token sooner.

Which is cheaper, GPT-6.1 Terra Max or Grok 4.7 Xhigh?

GPT-6.1 Terra Max is cheaper on a blended basis. GPT-6.1 Terra Max lists $1.00 per million input tokens and $5.00 per million output tokens; Grok 4.7 Xhigh lists $2.00 and $6.00. For 1 million input and 200,000 output tokens that is $2.00 against $3.20.

Which model has lower latency?

GPT-6.1 Terra Max generates output faster, at 114 tokens per second against 65 tokens per second. Grok 4.7 Xhigh reaches its first token sooner (43 seconds against 6.2 minutes). Counting the first-token wait, Grok 4.7 Xhigh finishes first for any reply shorter than about 49,000 tokens.

Are GPT-6.1 Terra Max and Grok 4.7 Xhigh from the same company?

GPT-6.1 Terra Max is made by OpenAI and Grok 4.7 Xhigh by SpaceXAI. GPT-6.1 Terra Max was released on October 26, 2026 and Grok 4.7 Xhigh on September 21, 2026.

Which is newer, GPT-6.1 Terra Max or Grok 4.7 Xhigh?

GPT-6.1 Terra Max is newer. It was released on October 26, 2026, 35 days after Grok 4.7 Xhigh (September 21, 2026).

Final whistle

Bottom line: GPT-6.1 Terra Max has more going for it here, but Grok 4.7 Xhigh is not without an argument. Pick Grok 4.7 Xhigh if users are waiting on the first word and replies need to finish sooner at typical lengths. Pick GPT-6.1 Terra Max if you need the higher overall score (51.3 against 35.5) and cost matters ($5.00 against $6.00 per million output 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-6.1 Terra (Max) and Grok 4.7 (Xhigh) pages. The AI Benchmark methodology explains how that data is collected and shown.

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