ChatGPT vs Claude

Right now ChatGPT's flagship model is GPT-6 Astra and Claude's is Claude Opus 5.5.

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.

1 / 3
Swipe to compare

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

Claude Opus 5.5 is Anthropic's general model for complex coding, research and document work that spans several steps. The company says it improves on the preceding Opus at completing large code changes and fixing software inefficiencies while reducing the time and cost of typical work. Anthropic also reports clearer writing that leads with key points and stronger resistance to instructions hidden in external material, helping people review work as it progresses. Current AIB results place coding and document work in the top tier and automation in the upper tier, without guaranteeing the same outcome on each task. Check sources and figures in research answers, set checkpoints and tool permissions for long jobs, and review changes that are difficult to reverse.

Author
AnthropicAnthropic
Release Date
2026-09-22
Knowledge Cutoff
2026-06
License
Proprietary
I/O Format
Context Length
1M / 128K
API I/O (1M)
✦$4 / $20
How to Use
Claude Pro or above / API Access
Overall Eval
Output Speed
✦79 tok/s
Arena Text
✦1505
Intelligence Index
✦59.1
Coding Index
—
Math Index
—
LiveBench
82.1
ForecastBench
—
Reasoning Eval
GPQA Diamond
—
HLE
✦61.4%
MMLU-Pro
—
AIME 2025
—
MATH-500
—
LB Reasoning
90.7
LB Math
96.8
LB Data Analysis
79.8
Coding Eval
LiveCodeBench
—
LB Coding
✦89.3
LB Agentic
✦65.3
TAU2
—
TerminalBench
—
SciCode
✦66.9%
Language Eval
IFBench
—
AA-LCR
✦0.8
Hallucination (HHEM)
9.9%
Factual Consistency (HHEM)
90.1%
LB Language
85.5
LB Instruction Following
67.0

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

Latest AI model comparisons