University of Kwazulu-Natal

Claude Opus 4 5 Reasoning Vs Gemini 3 Pro Preview Low Model Comparison

Bonisiwe Shabane
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claude opus 4 5 reasoning vs gemini 3 pro preview low model comparison

In-depth comparison of Claude Opus 4.5 and Gemini 3 Pro across benchmarks, pricing, context windows, multimodal capabilities, and real-world performance. Discover which AI model best fits your needs. Two AI giants released flagship models within a week of each other in late November 2025. On November 18, Google launched Gemini 3 Pro with the industry's largest context window at 1 million tokens. Six days later, Anthropic responded with Claude Opus 4.5, the first model to break 80% on SWE-bench Verified, setting a new standard for AI-assisted coding. These models represent fundamentally different design philosophies.

Gemini 3 Pro prioritizes scale and multimodal versatility: a 1M token context window, native video/audio processing, and Deep Think parallel reasoning. Claude Opus 4.5 focuses on precision and persistence: Memory Tool for cross-session state, Context Editing for automatic conversation management, and unmatched coding accuracy. This comparison examines where each model excels, where it falls short, and which one fits your specific use case. Claude Opus 4.5 achieves an 80.9% score on SWE-bench Verified, the highest of any AI model. This benchmark tests real GitHub issues: understanding codebases, identifying bugs, and implementing multi-file fixes. For developers working on complex software projects, this represents a step change in AI assistance.

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This YouTube insight note was created with LilysAI. Sign up free and get 10× faster, deeper insights from videos. This head-to-head comparison directly pits Claude Opus 4.5 against Gemini 3 Pro, focusing on real-world coding and agent tasks, not just benchmarks. Discover which model offers superior code quality and task completeness for complex projects like building an "Apple-like" website and a Go-based terminal game. Learn about the new, significantly lower pricing for Opus 4.5 and its practical implications for everyday AI use. Introduction of Opus 4.5 and Comparison: Completion Time and Cost Analysis (Test 1): Completion Time and Cost Analysis (Test 2): November 2025 was the most intense month in AI history: three tech giants released...

We break down the benchmarks, pricing, and real-world performance to help you choose the right model for your needs. This YouTube insight note was created with LilysAI. Sign up free and get 10× faster, deeper insights from videos. This head-to-head comparison directly pits Claude Opus 4.5 against Gemini 3 Pro, focusing on real-world coding and agent tasks, not just benchmarks. Discover which model offers superior code quality and task completeness for complex projects like building an "Apple-like" website and a Go-based terminal game. Learn about the new, significantly lower pricing for Opus 4.5 and its practical implications for everyday AI use.

Introduction of Opus 4.5 and Comparison: Completion Time and Cost Analysis (Test 1): Completion Time and Cost Analysis (Test 2): Gemini 3 and Claude Opus 4.5 represent two different answers to the same question. What should a flagship AI optimize for when compute, context, and capability are no longer the primary constraints. One model prioritizes breadth, multimodality, and synthesis at scale.

The other prioritizes discipline, correctness, and controlled reasoning. This comparison focuses on how those priorities shape real professional outcomes. November 2025 was the most intense month in AI history: three tech giants released their flagship models within just six days of each other. We break down the benchmarks, pricing, and real-world performance to help you choose the right model for your needs. In an unprecedented week, all three major AI labs released their flagship models, creating the most competitive AI landscape we've ever seen: Here's how the three models stack up on the most important benchmarks for developers and enterprises:

Measures ability to solve actual GitHub issues from real software projects Tests advanced academic knowledge across physics, chemistry, and biology Three flagship AI coding models launched within weeks of each other. Claude Opus 4.5 on November 24. Gemini 3.0 Pro on November 18. GPT 5.1 Codex-Max on November 19.

All three claim to be the best model for complex coding tasks and agentic workflows. The benchmarks show they're neck-and-neck. I wanted to see what that means for actual development work. So I gave all three the same prompts for two complex problems in my observability platform: statistical anomaly detection and distributed alert deduplication: same codebase, exact requirements, same IDE setup. Here. I compared all these models on some projects I was working on in my spare time.

I've used the Tool router, which is beta, in the first test, which also helps in dogfood the product. Do check out if you're someone who wants to use tools with your agents but doesn't want to be bothered with context pollution. Read more on the tool router here. SWE-bench Verified: Opus 4.5 leads at 80.9%, followed by GPT 5.1 Codex-Max at 77.9% and Gemini 3 Pro at 76.2% Terminal-Bench 2.0: Gemini 3 Pro tops at 54.2%, demonstrating exceptional tool use capabilities This past week was one of those moments where you just lean back and enjoy the ride.

Google dropped Gemini 3 Pro. Anthropic dropped Claude Opus 4.5. Both landed within days of each other. If you work in AI, this is the good stuff. Google went a different direction. Gemini 3 Pro is all about reasoning, multimodal inputs, and that million-token context window.

The benchmark numbers are wild. It hit 91.9% on GPQA Diamond. On ARC-AGI-2, the abstract reasoning benchmark, it scored 31.1% (and up to 45% in Deep Think mode). That is a huge leap over previous models. On LMArena it took the top ELO spot. If your work is heavy on reasoning, vision, video, or you need to throw massive context at a problem, Gemini 3 Pro is built for that.

Anthropic announced Opus 4.5 on November 24, 2025. They are calling it the best model in the world for coding, agents, and computer use. Bold claim.

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