GPT-5.4 vs Claude Opus 4.6: Which AI Is Better in 2026?

GPT-5.4 vs Claude Opus 4.6: Which AI Is Better in 2026?

9 min readMarch 23, 2026

Quick Verdict

GPT-5.4 is the better generalist with native computer use and stronger multimodal features. Claude Opus 4.6 is the better coder, with SWE-bench Verified at 80.8% versus GPT-5.4's 74.9%. Neither model wins across every category, and the honest answer is that most power users should have access to both.

Side-by-Side Comparison

FeatureGPT-5.4Claude Opus 4.6
Context window1M tokens (272K standard, 1M at 2x cost)1M tokens (beta)
SWE-bench Verified74.9%80.8%
Terminal-Bench75.1%65.4% (2.0)
OSWorld75.0%72.7%
GPQA84.2%N/A
Computer useNativeYes (Agent Teams)
Image generationGPT Image 1.5No
API price (input/output per 1M)$2.50/$15$5/$25
Subscription$20/mo (Plus)$20/mo (Pro)

Coding Test

I tested both on a full-stack task: build a Next.js API route with Prisma ORM, input validation, error handling, and rate limiting. Claude Opus 4.6 nailed it on the first try. The code was clean, typed correctly, and handled edge cases I didn't even mention. GPT-5.4 produced working code too, but it missed the rate-limiting middleware and needed a follow-up prompt. The SWE-bench numbers back this up. Claude's 80.8% on Verified is the highest among all models right now. GPT-5.4's 74.9% is strong, but there's a real gap here for production-grade coding work.

Reasoning and Knowledge

GPT-5.4 scored 84.2% on GPQA and hit 100% on AIME 2025, which is genuinely impressive for math. Its GDPval score of 83% puts it among the top models for general knowledge. Claude Opus 4.6 leads on Humanity's Last Exam, a newer benchmark designed to resist memorization. Both are strong reasoners, but they approach problems differently. GPT-5.4 tends to be more direct. Claude tends to think through problems step by step with its adaptive thinking system, which has four effort levels you can control.

Computer Use and Agents

GPT-5.4 has native computer use built in, and it works well. I had it navigate a web app, fill out forms, and interact with desktop software. It handled most tasks without getting stuck. Claude Opus 4.6 has Agent Teams, which let it spawn multiple sub-agents for parallel work. For deep multi-file refactoring across a codebase, Claude's approach is more powerful. For general desktop automation, GPT-5.4 is more polished.

Multimodal

GPT-5.4 wins here, no contest. GPT Image 1.5 generates high-quality images with an Elo of 1266 on the image generation leaderboard. Claude can't generate images at all. If you need image creation, audio processing, or video understanding in your workflow, GPT-5.4 is the only choice between these two.

Pricing

Both charge $20/month for their consumer subscriptions. On the API, GPT-5.4 is half the price of Claude Opus 4.6. OpenAI also has GPT-5.4 mini at $0.25/$2, which undercuts Claude's cheapest model. If you want both models without paying $40/month for two subscriptions, Admix gives you access to GPT-5.4, Claude Opus 4.6, and 350+ AI models starting at $10/month (or $8/month billed annually) with the Starter plan.

Which Should You Choose?

Pick GPT-5.4 if you need computer use, image generation, or a strong all-around model at a lower API price. Pick Claude Opus 4.6 if coding quality is your top priority or you need deep multi-file refactoring with Agent Teams. Pick both through Admix if you want to use the right model for each task.

FAQ

Is GPT-5.4 smarter than Claude Opus 4.6?

It depends on the task. GPT-5.4 scores higher on GPQA (84.2%) and AIME 2025 (100%). Claude Opus 4.6 scores higher on SWE-bench Verified (80.8%) and ARC-AGI-2 (68.8%). The Intelligence Index rates them close: GPT-5.4 at 57, Claude Opus 4.6 at 53.

Can I use both without two subscriptions?

Yes. Admix bundles both models plus more into plans starting at $10/month (or $8/month billed annually).

Which is better for students?

Claude explains concepts more thoroughly. GPT-5.4 is faster for quick questions and can generate diagrams. For research papers with lots of sources, Claude's 1M context window handles more material at once.

Try all the models mentioned in this article

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