Claude vs Grok

Right now Claude's flagship model is Claude Opus 5.5 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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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

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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