How Claude Opus 4 5 Quietly Outpaced Gemini 3 Pro In Key Benchmarks

Bonisiwe Shabane
-
how claude opus 4 5 quietly outpaced gemini 3 pro in key benchmarks

Opus 4.5 nudged past Gemini 3 Pro on coding and long‑task benchmarks. The win matters for real tasks, not just flashy demos. Opus 4.5 posts modest but meaningful wins over Gemini 3 Pro on agentic coding and long‑horizon tasks. Those wins matter for workflows that require tool use, multi‑step planning, and sustained context. Benchmarks vary, so test models on the tasks you actually need and weigh performance against cost. Most model releases read like scoreboards.

New numbers. New bragging rights. Opus 4.5 matters because its wins map to useful work. That changes how you might pick a model for coding, long tasks, or using apps. Anthropic's Opus 4.5 landed right after Gemini 3 Pro and outscored it on several practical fronts. On SWE agentic coding benchmarks Opus hit 80.9 versus Gemini 3 Pro's 76.2.

On ARC AGI-style computer use tests Opus also topped earlier Anthropic models and set new marks for released frontier models. 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): 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. Comparing Claude Opus 4.5 from Anthropic with Gemini 3 Pro Preview from Google? Instead of managing separate API keys and subscriptions, get both with Writingmate. 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. Even during a week that has felt like one endless model release after another.

But I’m not here to tell you this is a big deal because of benchmarks. 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. Search Engine Optimization (SEO) is the backbone of online visibility, but the cost of premium software can be daunting for If you are asking, “What is the best military grade smartphone?”, you aren’t looking for a fragile glass slab that If you are asking, “What is the best waterproof smartwatch?”, you aren’t just looking for a gadget that survives a Marketing leaders face a pivotal question: Should we allocate resources toward building visibility in AI-generated responses, or maintain focus on A diamond ring for women in 2025 blends luxury with smart health features, tracking heart rate, sleep, and more for style and wellness in one elegant piece.

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. Two frontier models landed almost at the same time, and the impact is already reshaping how product and engineering teams think about AI adoption. In our AI Weekly Highlights (launched just two days ago), we broke down the two biggest releases: Claude Opus 4.5 and Gemini 3 Pro. From our early experiments and what we are seeing across the developer community, sentiment is consistent: Gemini 3 Pro is becoming the default for multimodal and large-context tasks thanks to strong performance and efficient... At the same time, our developers still default to GPT-5.1 Codex, Gemini 3, Sonnet 4.5, or Composer 1 for faster inference, because Opus 4.5’s small accuracy edge does not justify paying nearly twice the... Before diving into numbers and infrastructure, here’s the core question driving this comparison: What model should you choose depending on your stack, your cost constraints and the type of intelligence your workflows need?

People Also Search

Opus 4.5 Nudged Past Gemini 3 Pro On Coding And

Opus 4.5 nudged past Gemini 3 Pro on coding and long‑task benchmarks. The win matters for real tasks, not just flashy demos. Opus 4.5 posts modest but meaningful wins over Gemini 3 Pro on agentic coding and long‑horizon tasks. Those wins matter for workflows that require tool use, multi‑step planning, and sustained context. Benchmarks vary, so test models on the tasks you actually need and weigh p...

New Numbers. New Bragging Rights. Opus 4.5 Matters Because Its

New numbers. New bragging rights. Opus 4.5 matters because its wins map to useful work. That changes how you might pick a model for coding, long tasks, or using apps. Anthropic's Opus 4.5 landed right after Gemini 3 Pro and outscored it on several practical fronts. On SWE agentic coding benchmarks Opus hit 80.9 versus Gemini 3 Pro's 76.2.

On ARC AGI-style Computer Use Tests Opus Also Topped Earlier

On ARC AGI-style computer use tests Opus also topped earlier Anthropic models and set new marks for released frontier models. 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 wh...

Introduction Of Opus 4.5 And Comparison: Completion Time And Cost

Introduction of Opus 4.5 and Comparison: Completion Time and Cost Analysis (Test 1): Completion Time and Cost Analysis (Test 2): 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 l...

These Models Represent Fundamentally Different Design Philosophies. Gemini 3 Pro

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. Thi...