All Releases

GPT-6.1 Terra vs Grok 4.7: Release Comparison

Comparison of the GPT-6.1 Terra and Grok 4.7 releases: 6 and 3 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 9 models.

  • For intelligence, GPT-6.1 Terra scores highest: GPT-6.1 Terra (Max) at 48, against Grok 4.7 (Xhigh) at 46 for Grok 4.7.
  • For cost per task, GPT-6.1 Terra is cheapest: GPT-6.1 Terra (Low) at $0.05, against Grok 4.7 (Low) at $1.03 for Grok 4.7.
Model Playground

Releases compared

GPT-6.1 Terra (max)Grok 4.7 (xhigh)Grok 4.7 (high)GPT-6.1 Terra (xhigh)GPT-6.1 Terra (high)Grok 4.7 (low)GPT-6.1 Terra (medium)GPT-6.1 Terra (low)GPT-6.1 Terra (non-reasoning)
Intelligence Index
48
46
46
45
44
42
41
36
33
Finance & Accounting
47
52
52
46
44
48
43
38
36
Strategy & Ops
50
54
54
48
47
51
45
42
42
Legal
49
54
54
48
47
51
46
42
35
Healthcare & Medical
--
48
47
--
--
44
--
--
--
Cost per TaskUSD
$0.40
$3.24
$2.36
$0.19
$0.13
$1.03
$0.10
$0.05
$0.11
Output SpeedTokens/s
--
88
85
--
--
80
--
--
--
Time to First Tokens
--
75.96
49.19
--
--
6.25
--
--
--
Context Window
1M
500k
500k
1M
1M
500k
1M
1M
1M
Creator
OpenAI
SpaceXAI
SpaceXAI
OpenAI
OpenAI
SpaceXAI
OpenAI
OpenAI
OpenAI
License
Proprietary
Proprietary
Proprietary
Proprietary
Proprietary
Proprietary
Proprietary
Proprietary
Proprietary
Input Modality

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Output Modality

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Providers
OpenAI
SpaceXAI
SpaceXAI
OpenAI
OpenAI
SpaceXAI
OpenAI
OpenAI
OpenAI
Artificial Analysis Intelligence Index · Higher is better
Output tokens per second · Higher is better
Weighted average cost (USD) per Intelligence Index task · Lower is better

Intelligence

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
GPT-6.1 Terra
Grok 4.7
Pareto line

Cost per Task (USD, Log Scale)

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

Speed & Latency

Output Speed

Output tokens per second · Higher is better

Capability Scores

Capability Indexes

Measures the performance of models on specific capabilities and industries
Finance & Accounting Index

Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better

Strategy & Ops Index

Incorporates 6 evaluations: GDPval-AA v2.1, AA-Briefcase v1.1, AA-Omniscience, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better

Legal Index

Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AA-LCR v1.1, GDP.pdf, AutomationBench-AA · Higher is better

Healthcare & Medical Index

Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, MLCR-AA, Humanity's Last Exam, AutomationBench-AA · Higher is better

Engineering Index

Incorporates 6 evaluations: AA-Omniscience, Humanity's Last Exam, CritPt, GDPval-AA v2.1, AA-Briefcase v1.1, Terminal-Bench 4.0 · Higher is better

Economics Index

Incorporates 5 evaluations: AA-Omniscience, Humanity's Last Exam, GDPval-AA v2.1, AA-Briefcase v1.1, AA-LCR v1.1 · Higher is better

AA-PersonalityBenchNew

Personality Indexes

Each axis is one of 8 personality indexes: the mean of its traits’ Elo z-scores, percentile ranked from 1 to 100 across all models evaluated in the benchmark