AI Insights

GPT-5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro: Which Should Your Business Use?

Eric8 March 202610 min read

Four frontier AI models in one month. GPT-5.4 dropped three days ago. Claude Opus 4.6 hit #1 on the App Store. Gemini 3.1 Pro quietly doubled its reasoning scores. If you run a business, you're probably wondering which one deserves your attention — and your money.

For most UK businesses, the right answer isn't picking one model and going all-in. It's knowing which to use for what. Claude leads on code quality and complex reasoning. GPT-5.4 wins on enterprise tooling and cost. Gemini offers the best bang for your buck with a massive production-ready context window. On standard benchmarks, these three are often within 3% of each other.

We've been testing all three on real client projects at Northern Codes over the past month. This is what we found once you strip away the marketing spin.

What's New? The March 2026 AI Model Wave

February and March 2026 have been absolute chaos in the AI world. Four major models shipped within weeks of each other, and each one pushes the frontier in a different direction. Quick rundown:

GPT-5.4 (5 March 2026) is OpenAI's first unified model — coding, computer use, vision, and a new tool search feature that slashes token usage by 47%. One million token context window. Finance plugins from Moody's and FactSet. Native Excel/Sheets integration. It also scored 75.0% on the OSWorld computer use benchmark, surpassing the 72.4% human baseline — a first for any AI model. Available on ChatGPT Pro ($200/month) and the API.

Claude Opus 4.6 (5 February 2026) is Anthropic's heavyweight. Agent Teams lets you spin up multiple AI agents that work in parallel on different parts of a problem. Adaptive Thinking adjusts reasoning depth depending on complexity — simple questions get quick answers, hard problems get deep chain-of-thought. It scored 80.8% on SWE-bench, still the highest coding benchmark score of any model, and 53.1% on Humanity's Last Exam. Went to #1 on the Apple App Store on 1 March, which tells you something about mainstream demand.

Gemini 3.1 Pro (19 February 2026) is Google DeepMind's dark horse. Only frontier model that natively handles text, image, audio, AND video. Scored a jaw-dropping 94.3% on GPQA Diamond for science reasoning. And the pricing? $2.00 per million input tokens — less than half what Claude charges.

Grok 4.20 also landed during this window. It's interesting, but less relevant for most business use cases, so we're sticking with the big three.

How Do They Actually Compare?

Right, let's get into the numbers. We've pulled together the benchmarks that matter most if you're making a business decision — not obscure academic tests, but the ones that translate to real-world performance. Bold values mark the leader in each row.

Released: GPT-5.4: 5 March 2026 | Claude Opus 4.6: 5 Feb 2026 | Gemini 3.1 Pro: 19 Feb 2026

Context window: GPT-5.4: 1M tokens | Claude Opus 4.6: 200K (1M beta) | Gemini 3.1 Pro: 1M tokens

Coding (SWE-bench): GPT-5.4: 77.2% | Claude Opus 4.6: 80.8% (leader) | Gemini 3.1 Pro: 80.6%

Reasoning (ARC-AGI-2): GPT-5.4: 73.3% | Claude Opus 4.6: 75.2% | Gemini 3.1 Pro: 77.1% (leader)

Computer use (OSWorld): GPT-5.4: 75.0% (leader) | Claude Opus 4.6: 72.7% | Gemini 3.1 Pro: N/A

Knowledge work (GDPval): GPT-5.4: 83.0% (leader) | Claude Opus 4.6: 78.0% | Gemini 3.1 Pro: N/A

Science reasoning (GPQA): GPT-5.4: 92.8% | Claude Opus 4.6: 91.3% | Gemini 3.1 Pro: 94.3% (leader)

Multimodal: GPT-5.4: Image | Claude Opus 4.6: Image | Gemini 3.1 Pro: Image + Video + Audio (leader)

API cost (input/output per 1M tokens): GPT-5.4: $2.50/$15 | Claude Opus 4.6: $5.00/$25 | Gemini 3.1 Pro: $2.00/$12 (cheapest)

The gap between these models on standard benchmarks is now razor-thin, often less than 3%. The real differences are in what each model can DO, not how it scores.

Which AI Is Best for What?

Benchmarks tell you part of the story. But what you really want to know is: which model does MY job best? We've been throwing real client tasks at all three. This is how they stack up.

Writing emails, proposals, and reports

GPT-5.4 takes this one. Its GDPval score of 83.0% on knowledge work isn't just a number — you can feel it in the output. The prose flows more naturally, business formats come out cleaner, and at $2.50 per million input tokens it's the cheapest of the three for high-volume writing.

That said, Claude has a more nuanced tone and handles British English better. If your brand voice matters (and it should), Claude's worth a look. But for cranking out reports and proposals? GPT-5.4.

Analysing documents and spreadsheets

Gemini 3.1 Pro runs away with this. A production-ready 1 million token context window means you can dump your entire document archive into a single prompt. No chunking, no workarounds. And it's the cheapest to do it with. The fact that it also handles video and audio makes it uniquely versatile — try getting GPT or Claude to summarise a recorded meeting.

GPT-5.4 deserves a mention here too, though. The Moody's, MSCI, and FactSet finance plugins are a big deal if you work with financial data, and the native Excel/Sheets integration saves a surprising amount of time on spreadsheet tasks.

Building automations and workflows

Claude Opus 4.6, no contest. Highest SWE-bench score (80.8%), Agent Teams that let you run multiple AI agents in parallel, and Adaptive Thinking that dials up reasoning power when a problem gets complex. This is what we do at Northern Codes — we build automations for clients daily, and Claude is the model we reach for on anything non-trivial.

One exception: if your automation needs to click through desktop software, GPT-5.4's computer use mode edges ahead at 75.0% on OSWorld versus Claude's 72.7%. For everything else in this category, Claude.

Customer service and chatbots

GPT-5.4 is the pragmatic pick. Most customer queries don't need frontier-level reasoning. They need fast, accurate, cheap responses. GPT-5.4 does that well, and the per-conversation cost is the lowest of the three.

Gemini is worth considering here too — similar cost, and its multimodal input means customers can send photos or even video clips for product support. That's something GPT and Claude can't do yet.

What About Cost?

Per-token API pricing is all over the tech blogs, but it doesn't tell you much on its own. What you want to know is: what does a typical task cost me in practice?

A quick customer query (~500 tokens) costs under $0.02 on all three. Fractions of a penny between them. At this scale, pick whichever gives you the best answers — cost is irrelevant.

Analysing a 50-page contract (~75K tokens) is where pricing differences start to show. Gemini comes in around $0.03. GPT-5.4 around $0.04. Claude around $0.08. If you're processing hundreds of documents a month, Gemini's pricing edge adds up.

A heavy automation build (~500K tokens) makes Claude the priciest option on paper. But we've found it needs fewer back-and-forth iterations on complex code, so you burn through fewer tokens overall. The premium pays for itself when you're not wasting cycles on retries.

The honest truth? For most small and medium businesses, the cost difference between all three is pennies per task. Don't pick your AI model based on price. Pick it based on what it does well.

So Which One Should You Pick?

We'll keep this simple. No waffle, just a decision tree:

Need an all-rounder that handles complex problems? Claude Opus 4.6. Top coding scores, best multi-step reasoning, and Agent Teams for orchestrating complex tasks across multiple agents.

Watching the budget? Gemini 3.1 Pro gives you the most for your money. Cheapest API pricing, a 1M context window that's production-ready (not beta), and native video/audio processing that neither rival offers.

Already deep in the Microsoft ecosystem? GPT-5.4. The Excel/Sheets integration and finance plugins from Moody's and FactSet aren't gimmicks — they save real time if that's your world.

Got video or audio files to process? Gemini 3.1 Pro. Full stop. The other two don't do it.

Building AI automations? Claude Opus 4.6, hands down. Or let us build them for you — we've spent the last month building with all three and know where each one falls over.

Look, the 'best' AI changes depending on the task. The smartest businesses in 2026 aren't picking a side — they're matching the right model to each job. We said the same thing in our Claude vs GPT-5.3 Codex comparison last month, and it's even more true now with three strong options on the table.

FAQ: AI Model Comparison Questions Answered

Q: Is GPT-5.4 better than Claude?

Depends what you're doing with it. GPT-5.4 leads on knowledge work (GDPval 83%) and computer use (OSWorld 75%). Claude leads on coding (SWE-bench 80.8%) and complex reasoning. Neither is flat-out better — they've optimised for different things. Check the comparison above for the full breakdown.

Q: Which AI model is cheapest?

Gemini 3.1 Pro, and it's not close. $2.00 per million input tokens versus GPT-5.4's $2.50 and Claude's $5.00. But for most business tasks, we're talking pennies of difference per query — so don't let cost alone drive the decision.

Q: Can these AIs control my computer?

Two of the three can. GPT-5.4 scores 75.0% on OSWorld, slightly ahead of Claude's 72.7%. Both navigate desktop apps, click buttons, fill in forms. Gemini doesn't offer this yet.

Q: Which AI is best for coding?

Claude at 80.8% on SWE-bench, with Gemini breathing down its neck at 80.6%. GPT-5.4 trails at 77.2%. The Claude-Gemini gap is basically a rounding error. Where GPT-5.4 does stand out is terminal-based workflows — its Terminal-Bench score of 75.1% leads that niche.

Q: Should my business switch to GPT-5.4 right now?

No rush. It's three days old. If you're already on GPT-5.3 or Claude and things are working, keep going. Test GPT-5.4 on your own use cases before committing to a switch. Benchmarks look great on paper, but your specific tasks are what matter.

The Bottom Line

Three brilliant models, three different sweet spots. Claude for code and hard reasoning problems. GPT-5.4 for enterprise tools and knowledge work. Gemini for value, multimodal, and chewing through mountains of documents. Six months ago, picking the 'best' model was straightforward. Now, the gaps on benchmarks are often under 3%, and each model has carved out territory the others can't match. So at this point, the deciding factor isn't which model scores highest — it's which one does what you need.

Not sure which AI fits your business? We spend our days figuring this stuff out for UK companies. Drop us a line and we'll help you cut through the noise. Or have a look at what we build, grab a free quote, or check out our AI consulting work if you want to see how we approach these decisions with clients.

Sources:

AI ComparisonGPT-5.4Claude Opus 4.6Gemini 3.1 ProAI for Business

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