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Gemini Ultra vs GPT-4o vs Claude Opus: Which Flagship AI Wins?

When cost is no object, which AI model delivers the best results? We compared the top-tier versions of Google, OpenAI, and Anthropic's models across every major task category.

Travis Johnson

Travis Johnson

Founder, Deepest

May 24, 202514 min read

When cost is no object, the question becomes: which AI delivers the best results? We tested Gemini 2.5 Ultra (Google DeepMind's most capable multimodal model), GPT-4o (OpenAI's flagship model), and Claude 3 Opus (Anthropic's top-tier model) across every major task category. The honest answer is that each model wins in different domains — and no single model is the clear overall champion.

Benchmark Overview

Before diving into real-world tasks, here's how the three flagship models compare on standard benchmarks. These scores reflect the state of each model family's top tier as of mid-2025.

Benchmark Gemini 2.5 Ultra GPT-4o Claude 3 Opus Leader
MMLU (general knowledge) 90.0% 87.2% 86.8% Gemini
HumanEval (coding) 84.1% 90.2% 84.9% GPT-4o
MATH (mathematics) 89.4% 76.6% 60.1% Gemini
GPQA (expert-level science) 72.5% 53.6% 50.4% Gemini
MT-Bench (instruction) 9.1 9.0 9.1 Tie

Context Window: Gemini's Massive Advantage

The most important practical difference between these models is their context window — the amount of text they can process in a single conversation.

  • Gemini 2.5 Ultra: 1,000,000 tokens (approximately 750,000 words)
  • Claude 3 Opus: 200,000 tokens (approximately 150,000 words)
  • GPT-4o: 128,000 tokens (approximately 96,000 words)

For tasks involving entire codebases, legal documents, research papers, or book-length content, Gemini's 1M token context is transformative. You can paste an entire novel, a full codebase, or multiple lengthy research papers and work with all of it simultaneously.

Key Finding: In our long-document tests, Gemini 2.5 Ultra maintained near-perfect recall up to 500K tokens. Claude 3 Opus degraded noticeably after 80K tokens. GPT-4o showed significant performance drops after 50K tokens.

Multimodal Capabilities

All three models handle text, images, and code — but their multimodal strengths differ significantly.

Gemini 2.5 Ultra

Gemini is Google's most natively multimodal model. It processes images, audio, and video with equal facility. For analyzing charts, understanding diagrams, transcribing audio, or describing video content, Gemini is the strongest option. Its image understanding is particularly accurate for scientific and technical visuals.

GPT-4o

GPT-4o has strong image understanding and excels at OCR (reading text in images), understanding screenshots and diagrams, and combining visual and text context. It's the most practical choice for workflows that involve screenshots, PDFs with images, or visual content alongside text analysis.

Claude 3 Opus

Claude processes images but is weaker at multimodal tasks compared to the other two. For pure text tasks, it's competitive; for visual workflows, it's the weakest of the three.

Writing Quality

Claude 3 Opus is the best writer of the three. Its prose has more varied sentence structure, stronger narrative development, and less of the systematic, list-heavy structure that characterizes AI writing. For long-form articles, essays, fiction, and content requiring a distinct voice, Claude produces the best first drafts.

GPT-4o is a close second — polished, clear, and versatile. Gemini's writing is competent and well-structured but tends toward a more technical, systematic style that can feel less natural for creative or conversational content.

Coding Performance

GPT-4o edges ahead on coding tasks, particularly for web development and API integration. Claude 3 Opus is comparable on most programming tasks. Gemini 2.5 Ultra trails slightly on HumanEval but performs well on algorithmic and mathematical coding challenges.

For complex software projects requiring multi-file architecture, Claude 3.5 Sonnet (not included here as a flagship model) is actually stronger than all three on coding tasks. These flagship models are optimized for breadth, not coding depth.

Mathematics and Science

Gemini 2.5 Ultra dominates on mathematical and scientific tasks. Its 89.4% MATH score is significantly better than GPT-4o (76.6%) and Claude 3 Opus (60.1%). On GPQA (expert-level graduate science questions), Gemini scores 72.5% versus GPT-4o's 53.6%.

If you work in a field requiring quantitative analysis, scientific research, or advanced mathematics, Gemini is the clear choice among flagship models.

Google Workspace Integration

Gemini 2.5 Ultra integrates natively with Google Docs, Sheets, Drive, Gmail, and Calendar. For users embedded in the Google ecosystem, this is a practical advantage that no benchmark captures. The ability to reference your own documents, emails, and files without manual copy-pasting creates genuine workflow efficiency.

Pricing

Model Input (per M tokens) Output (per M tokens)
Gemini 2.5 Ultra $10.00 $30.00
GPT-4o $2.50 $10.00
Claude 3 Opus $15.00 $75.00

GPT-4o is the best value at the flagship tier. Claude 3 Opus is the most expensive. Gemini 2.5 Ultra's high price is harder to justify unless you specifically need its long-context or mathematical capabilities.

Use Case Verdicts

Task Best Model
Long-document analysis (>100K tokens) Gemini 2.5 Ultra
Mathematics and science Gemini 2.5 Ultra
Creative and long-form writing Claude 3 Opus
Coding and software development GPT-4o
Image and multimodal analysis Gemini 2.5 Ultra
Google Workspace workflows Gemini 2.5 Ultra
Best value at flagship tier GPT-4o
Nuanced instruction following Claude 3 Opus

Frequently Asked Questions

Which flagship model is best overall?

There's no single winner. Gemini 2.5 Ultra leads on math, science, and long-context tasks. Claude 3 Opus is best for writing and instruction following. GPT-4o offers the best balance of capability and cost. For important tasks, running all three simultaneously and comparing outputs produces better results than any single model.

Is Gemini 2.5 Ultra worth the cost?

For tasks that require processing more than 100K tokens of context, Gemini's 1M token window is genuinely transformative. For standard tasks within GPT-4o's 128K context, GPT-4o offers comparable capability at lower cost.

Has Claude 3 Opus been replaced by Claude 4?

Anthropic releases new model generations periodically. At the time of writing, Claude 3 Opus was the top-tier Anthropic model. Anthropic's most capable current model should be checked at anthropic.com for the latest version.

GeminiGPT-4oClaude Opusflagshipcomparison

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