ChatGPT vs Grok

Right now ChatGPT's flagship model is GPT-6 Astra and Grok's is Grok 4.6.

We pick flagships the same way as our subscription guide: the model with the highest overall score among those you can use on the plans. It changes when a new model comes out.

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GPT-6 Astra is OpenAI's model for extended work involving computers, browsers, complex code and source material. OpenAI describes improvements over the preceding Sol in professional tasks, tool use and adherence to assigned scope, emphasizing continued execution after reviewing evidence. Connected runtimes provide software operation and file creation, combining the model's decisions about changes with external tools that carry them out. Development, research and document production can therefore form a workflow spanning applications, from gathering information through revising deliverables and checking results. The model detail page's specifications and evaluation analysis cover context and output limits, reasoning settings, computer-use and tool-call conditions, code repair, document analysis and multi-step automation.

Author
OpenAIOpenAI
Release Date
2026-09-04
Knowledge Cutoff
2026-04-30
License
Proprietary
I/O Format
Context Length
✦1.1M / 128K
API I/O (1M)
$10 / $50
How to Use
ChatGPT Plus (In Work and Codex) / ChatGPT Pro 100 or above / API Access
Overall Eval
Output Speed
37 tok/s
Arena Text
✦1475
Intelligence Index
✦56.9
Coding Index
✦77.1
Math Index
—
LiveBench
✦82.2
ForecastBench
—
Reasoning Eval
GPQA Diamond
✦96.3%
HLE
✦54.7%
MMLU-Pro
—
AIME 2025
—
MATH-500
—
LB Reasoning
✦92.7
LB Math
✦96.8
LB Data Analysis
✦83.0
Coding Eval
LiveCodeBench
—
LB Coding
✦80.4
LB Agentic
✦57.3
TAU2
—
TerminalBench
—
SciCode
56.5%
Language Eval
IFBench
—
AA-LCR
0.8
Hallucination (HHEM)
8.7%
Factual Consistency (HHEM)
91.3%
LB Language
✦89.4
LB Instruction Following
✦75.6

Grok 4.6 is an xAI-family model for long development and knowledge workflows, accepting text and images and producing text. Its developer describes improvements over the preceding model in sustained agent work, interactive artifacts and checking intermediate results. It can help organize requirements and draft code or documents, while application execution and saved files depend on the development environment and connected tools. Current AIB comparisons put automation in the top tier and document handling and coding in the middle of the pack, so automation strength should not imply general accuracy guarantees. Check reasoning settings and long-input pricing, then inspect retained requirements, intermediate deliverables and tests on representative tasks to assess quality, latency and cost.

Author
SpaceXSISpaceXSI
Release Date
2026-08-12
Knowledge Cutoff
2026-02-01
License
Proprietary
I/O Format
Context Length
500K / 450K
API I/O (1M)
✦$2.2 / $6.6
How to Use
Grok Free or above / API Access
Overall Eval
Output Speed
✦60 tok/s
Arena Text
1457
Intelligence Index
31.0
Coding Index
76.8
Math Index
—
LiveBench
78.0
ForecastBench
—
Reasoning Eval
GPQA Diamond
94.9%
HLE
44.1%
MMLU-Pro
—
AIME 2025
—
MATH-500
—
LB Reasoning
90.5
LB Math
92.6
LB Data Analysis
73.9
Coding Eval
LiveCodeBench
—
LB Coding
76.8
LB Agentic
57.0
TAU2
—
TerminalBench
—
SciCode
56.5%
Language Eval
IFBench
—
AA-LCR
✦0.8
Hallucination (HHEM)
—
Factual Consistency (HHEM)
—
LB Language
83.7
LB Instruction Following
71.9

Top 10 models in the overall ranking

Updated 2026-11-08
See the full ranking
RankModelOverallAutomationDocs & officeCodingCost (per 1M tokens)Output speed
🥇Gemini 4 CarbonGoogle—92.1 tok/s
🥈Claude Opus 5.5Anthropic$16.0078.5 tok/s
🥉Claude Fable 5.1Anthropic$40.0065.0 tok/s
4Claude Fable 5Anthropic$40.0056.0 tok/s
5Gemini 4 ArgonGoogle$8.0035.0 tok/s
6GPT-6 AstraOpenAI$40.0036.5 tok/s
7GPT-6.1 SolOpenAI—$8.0041.5 tok/s
8Muse WonderMeta—$16.0092.0 tok/s
9Muse Spark 1.3Meta$3.5096.0 tok/s
10Claude Opus 5Anthropic$20.0065.0 tok/s

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