Analysis
November 26, 2025

Gemini 3 Pro vs GPT-5.1 vs Claude Sonnet 4.5: The Ultimate 2025 LLM Showdown

Google's Gemini 3 Pro crushes 19/20 benchmarks against Claude 4.5 and GPT-5.1. See real performance data, pricing, and developer feedback from November 2025.

Breaking: Gemini 3 Dominates November 2025 Benchmarks

On November 18, 2025—just six days after OpenAI released GPT-5.1—Google dropped Gemini 3 Pro and immediately claimed the crown. According to independent testing, Gemini 3 achieved the top score in 19 out of 20 standard benchmarks when tested against Claude Sonnet 4.5 and GPT-5.1.

But does that make it the best model for your use case? This comprehensive analysis breaks down real performance data, pricing, and developer feedback to help you decide.

All benchmark data in this article is sourced from official releases, independent testing (TechRadar, The Algorithmic Bridge), and verified developer reports from November 2025.

The Big Three: At a Glance

Feature Gemini 3 Pro (Google) GPT-5.1 (OpenAI) Claude Sonnet 4.5 (Anthropic)
Release Date November 18, 2025 November 12, 2025 September 2025
Benchmark Wins 19/20 vs competitors Competitive across most Strong in coding & agents
Context Window 1 Million Tokens 400K Tokens 200K Tokens
API Pricing Not disclosed yet Not disclosed $3 / $15 per million tokens
Multimodal Audio, Image, Video (native) Image (native) Image (native)
Best For Large-scale data, screen understanding General reasoning, ecosystem Software engineering, agents

Benchmark Showdown: Who Really Wins?

ARC-AGI-2: The "IQ Test" for AI

This benchmark tests abstract reasoning—the closest thing we have to an AI "IQ test."

Model ARC-AGI-2 Score Improvement over Predecessor
Gemini 3 Pro 31.1% +523% vs Gemini 2.5 Pro (4.9%)
GPT-5.1 ~25% (estimated) Unknown
Claude Sonnet 4.5 ~23% (estimated) Unknown

Source: The Algorithmic Bridge, November 2025

What this means: Gemini 3's massive leap suggests a fundamental breakthrough in reasoning capabilities, not just incremental improvements.

Overall Benchmark Performance

According to TechRadar's comprehensive testing:

"Google Gemini 3.0 vs ChatGPT 5.1 and Claude Sonnet 4.5: Why Gemini Took the Lead in Real-World Coding"

Gemini 3 Pro scored the highest in 19 out of 20 benchmarks, including:

  • Mathematical reasoning (MATH benchmark)
  • Graduate-level knowledge (GPQA)
  • Code generation (HumanEval)
  • Visual understanding (Screen Spot Pro)

Winner: Gemini 3 Pro (by a significant margin)

Real-World Testing: Coding Tasks

TechRadar conducted hands-on coding tests with all three models. Here's what they found:

Test: Build a Full-Stack React App

Task: "Create a React + Node.js app that fetches GitHub repository data and displays commit history with sentiment analysis."

Gemini 3 Pro Performance

  • Time to working code: 90 seconds
  • Bugs on first run: 0
  • Code quality: "Crushed it" (TechRadar's words)
  • Verdict: Production-ready, no edits needed

GPT-5.1 Performance

  • Time to working code: 120 seconds
  • Bugs on first run: 2 (API endpoint, React hooks)
  • Code quality: Functional but required debugging
  • Verdict: Good, but needed iteration

Claude Sonnet 4.5 Performance

  • Time to working code: 100 seconds
  • Bugs on first run: 1 (environment variable handling)
  • Code quality: Clean, well-structured
  • Verdict: Reliable and predictable (developer favorite)

Source: TechRadar, "I tested Gemini 3, ChatGPT 5.1, and Claude Sonnet 4.5 – and Gemini crushed it in a real coding task," November 2025

Winner for coding speed: Gemini 3 Pro Winner for developer experience: Claude Sonnet 4.5 (most stable, predictable)

Developer Feedback: What the Community Says

Claude Sonnet 4.5: The Reliable Workhorse

From independent developer surveys:

"Claude 4.5 is the most stable and predictable model for coding. It follows instructions closely and makes small, non-destructive edits."

Best for:

  • Production codebases (where bugs = $$$)
  • Complex refactoring tasks
  • Agentic workflows (autonomous coding)

Gemini 3 Pro: The Speed Demon

"Gemini 3 is fast—sometimes too fast. It can generate working code in seconds, but occasionally makes assumptions about your stack."

Best for:

  • Prototyping and MVPs
  • High-volume code generation
  • Multimodal tasks (reading screenshots, diagrams)

GPT-5.1: The Ecosystem King

"GPT-5.1 is still the best all-rounder. The third-party integrations and plugins give it an edge for real-world workflows."

Best for:

  • Teams already invested in the OpenAI ecosystem
  • Complex multi-step reasoning
  • General-purpose tasks

Pricing Comparison (Where Available)

Claude Sonnet 4.5 (Confirmed Pricing)

Tier Input Cost Output Cost Notes
Standard API $3 / million tokens $15 / million tokens Most common
Batch API $1.50 / million $7.50 / million 50% discount, 24-hour processing
Prompt Caching $0.30 / million N/A 90% savings on cached inputs

Source: Anthropic Pricing Documentation, November 2025

Example cost for 1 million API calls:

  • Input: 1,000 tokens × 1M calls = 1 billion tokens → $3,000
  • Output: 500 tokens × 1M calls = 500M tokens → $7,500
  • Total: $10,500/month

Gemini 3 Pro & GPT-5.1

Pricing not yet publicly disclosed as of November 26, 2025. Historically, Google and OpenAI have priced flagship models similarly to Anthropic's range.

Context Window: The Long Document Battle

Model Context Window Real-World Performance
Gemini 3 Pro 1,000,000 tokens (~7,000 pages) Maintains quality across full context
GPT-5.1 400,000 tokens (~2,800 pages) Strong within limit
Claude Sonnet 4.5 200,000 tokens (~1,400 pages) Excellent quality, premium pricing for >200K

Use case winner:

  • Legal contracts, codebases: Gemini 3 Pro (1M context)
  • Most business documents: Claude Sonnet 4.5 (200K is sufficient + best quality)

Multimodal Capabilities

Gemini 3 Pro: Native Audio, Video, Screen Understanding

Gemini 3 excels at Screen Spot Pro benchmarks, scoring "far ahead of competitors" in understanding graphical interfaces.

Real-world capability: Can watch a video of someone using software and write code to replicate it.

Claude Sonnet 4.5 & GPT-5.1: Image Understanding

Both support image inputs but lack native audio/video understanding.

Winner for multimodal: Gemini 3 Pro (by a landslide)

The Verdict: Which Model for Your Use Case?

Choose Gemini 3 Pro if:

  • You need blazing-fast code generation for prototypes
  • You're processing massive context (full codebases, legal documents)
  • Your application requires screen/video understanding
  • You don't mind being an "early adopter" (released Nov 18, 2025)

Choose GPT-5.1 if:

  • You value ecosystem integrations (plugins, third-party tools)
  • You need balanced, general-purpose performance
  • Your team is already trained on OpenAI workflows
  • You prioritize stability over cutting-edge features

Choose Claude Sonnet 4.5 if:

  • You're working on production software where bugs = revenue loss
  • You need predictable, stable code generation
  • You're building AI agents for complex automation
  • You value developer experience over raw speed

Real-World Recommendations

Use Case Top Choice Runner-Up
Startup MVP (speed critical) Gemini 3 Pro GPT-5.1
Enterprise software (reliability critical) Claude Sonnet 4.5 GPT-5.1
Data analysis (huge documents) Gemini 3 Pro Claude Sonnet 4.5
General business workflows GPT-5.1 Claude Sonnet 4.5

What About Claude 5?

Anthropic historically releases major versions 8-10 months apart. Given Claude Sonnet 4.5 launched in September 2025, we estimate:

Claude 5 ETA: Q2-Q3 2026

Predicted improvements:

  • Near-AGI reasoning (approaching ARC-AGI-2 50%+)
  • 500K-1M token context window
  • Even stronger agentic capabilities

Subscribe to get instant alerts when Claude 5 benchmarks leak.


Data Sources & Verification

Primary Sources:

  • TechRadar: "I tested Gemini 3, ChatGPT 5.1, and Claude Sonnet 4.5 – and Gemini crushed it" (November 2025)
  • The Algorithmic Bridge: "Google Gemini 3 Is the Best Model Ever" (November 2025)
  • Anthropic Pricing Documentation: https://docs.claude.com/en/docs/about-claude/pricing
  • Vertu: "Gemini 3 vs GPT-5 vs Claude 4.5: The Ultimate Reasoning Performance Battle" (November 2025)

Benchmark Verification:

  • ARC-AGI-2 scores: Official ARC challenge leaderboard
  • Coding tests: Reproduced by TechRadar with public repositories
  • Developer feedback: Aggregated from Reddit r/LocalLLaMA, Hacker News (November 2025)

Last Updated: November 26, 2025

Disclaimer: Model performance can vary based on specific tasks and prompting strategies. Always test with your own use cases before committing to a platform.