Claude vs Gemini

Right now Claude's flagship model is Claude Opus 5.5 and Gemini's is Gemini 4 Argon.

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

Gemini 4 Argon is Google's model for software development, long-document analysis and multi-step work involving text and visual material. Google says it expands the output available over earlier Gemini models, giving extended tasks more room for deliberation and finished deliverables. The company highlights code changes, specialist analysis and work across tools, alongside defenses against malicious instructions and actions outside the assigned scope. The combination connects extended deliberation with tool-driven changes and deliverable creation. Consult the model detail page's detailed specifications and evaluation analysis for context and output limits, reasoning settings, tool-call support, specialist document analysis and code repair.

Author
GoogleGoogle
Release Date
2026-09-30
Knowledge Cutoff
—
License
Proprietary
I/O Format
Context Length
1M / 1M
API I/O (1M)
✦$2 / $10
How to Use
Gemini AI Plus or above
Overall Eval
Output Speed
35 tok/s
Arena Text
✦1523
Intelligence Index
50.4
Coding Index
—
Math Index
—
LiveBench
—
ForecastBench
—
Reasoning Eval
GPQA Diamond
—
HLE
57.1%
MMLU-Pro
—
AIME 2025
—
MATH-500
—
LB Reasoning
—
LB Math
—
LB Data Analysis
—
Coding Eval
LiveCodeBench
—
LB Coding
—
LB Agentic
—
TAU2
—
TerminalBench
—
SciCode
61.8%
Language Eval
IFBench
—
AA-LCR
0.8
Hallucination (HHEM)
12.1%
Factual Consistency (HHEM)
87.9%
LB Language
—
LB Instruction Following
—

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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