By 2026, we've got three flagship LLMs you really have to pick between: OpenAI's GPT-5, Anthropic's Claude 4.7 Opus, and Google's Gemini 3 Pro. On synthetic benchmarks, they're neck-and-neck, but in real-world work, the difference is huge. I've lived with these three models for 3 months, using them daily for copywriting, code, analytics, and communication. Here's what I've learned.
You get all of them in the Quantium AI chat with a single subscription; switch models with `/model`. This means you can actually use the "right" model for the job, instead of paying for three separate plans. Below are specific scenarios and their winners.
Three Models, Two Sentences
GPT-5 — OpenAI's flagship, released December 2025. A true generalist with the industry's best language feel and creativity. Context window: 400K tokens. It supports agent scenarios, sees images, and hears voice.
Claude 4.7 Opus — Anthropic's model, focusing on programming and reasoning accuracy. It offers a 1M token context in the Quantium version, best for long, hallucination-free dialogues. Best code, the most "honest" model of the three.
Gemini 3 Pro — Google's model with the largest context window (2M tokens = about 1500 pages), native multimodality, and search access. Strong with large datasets and fact-checking.
Benchmark Numbers
| Test | GPT-5 | Claude 4.7 | Gemini 3 Pro |
|---|---|---|---|
| SWE-bench Verified (code) | 71% | 79% | 68% |
| MMLU-Pro (General Knowledge) | 86% | 84% | 85% |
| HumanEval (Python) | 92% | 94% | 90% |
| GPQA Diamond (PhD-level science) | 74% | 78% | 72% |
| Context Window | 400K | 1M | 2M |
| MGSM (Multilingual Math) | 91% | 92% | 93% |
| Quantium Price (credits/response) | 4 | 6 | 3 |
Benchmarks are just the start, not the end. The real difference shows up in specific work tasks. Let's dive in.
Programming: Claude Clearly Leads
I put all three models through three types of tasks: writing a new component from scratch, refactoring messy legacy code, and finding a bug in a live app. Claude 4.7 Opus came out noticeably ahead on all three.
Here are the specific metrics after 50 iterations of each task:
- Code that runs on the first try: Claude — 87%, GPT-5 — 74%, Gemini — 69%
- Correct use of current library API: Claude — 84%, GPT-5 — 71%, Gemini — 78%
- Understanding context of existing 500+ line file: Claude — 91%, GPT-5 — 77%, Gemini — 82%
Claude is less likely to "invent" functions or parameters not in the library. GPT-5 is faster, but often needs a second pass. Gemini is better at refactoring since it sees a huge chunk of code at once (2M tokens = about 50K lines of code).
If 80% of your work is coding, go with Claude 4.7. If you only do occasional scripting, any model will work.
Copywriting & Creativity: GPT-5 Leads
GPT-5 is the undisputed leader here. Marketing posts, scripts, brand copywriting, product descriptions — this model nails tone and register better than its rivals. It's especially good in Russian: the text sounds alive, without those typical AI phrases like "let's delve into" or "in today's digital age."
Blind test: I gave ten marketers 30 texts, 10 from each model on the same topic, with no hints. GPT-5 won 67% of "which text do you like better" votes. Claude got 21%, Gemini 12%.
Claude writes well, but it's drier. Good for technical docs, legal texts, reports. Gemini is great for fact- and figure-heavy texts, but it tends toward a "Wikipedia" style.
If you're a copywriter, SMM specialist, or marketer, make GPT-5 your primary model. For more on writing tasks, check out our post on ChatGPT vs. Gemini vs. Grok.
Analytics & Data Work: Gemini
A 2M token window is a game-changer for large datasets. I fed Gemini 3 Pro entire 800-page annual reports, 30K-line log dumps, and long meeting transcripts. The model holds the whole context, answering questions like "find the three strangest anomalies in these logs" without losing its way.
GPT-5, with 400K tokens, handles documents up to 200 pages. Claude 4.7, at 1M tokens, goes up to 700 pages. Gemini is the only one truly working with book-sized volumes.
Gemini also has a native search advantage. When you need current stats, stock prices, or recent news, Gemini pulls live data from Google. The other two models work off an outdated snapshot. For an analyst, this is critical.
Summarizing Long Documents
Test: A 120-page financial report PDF, prompt: "extract 10 key investor risks." Results:
- Gemini 3 Pro — Processed the whole document, found 10 risks, correctly cited source pages. 9 out of 10 were truly critical.
- Claude 4.7 — Processed the whole document, found 9 risks, deeper analysis of each, but one risk missed.
- GPT-5 — Hit its context limit, needed breaking into parts. After reassembly, 8 risks, two were duplicates.
For document-heavy tasks, Gemini is the first choice, Claude a close second.
Multilingual & Russian Language
All three models speak Russian well, but with nuances. I tested for grammar, idiomaticity, and ability to write in different registers (from youth slang to formal business).
GPT-5 delivers lively Russian with the best register sense. Claude is grammatically correct but feels a bit "translated." Gemini is average overall but excels in rare languages (Ukrainian, Kazakh, Uzbek).
If you work with an international team and need translation/localization into 10+ languages, Gemini. If it's just Russian, GPT-5.
Quantium Pricing
In Quantium, price is per reply in credits:
- Gemini 3 Pro — 3 credits (about 2 ₽ on the Basic plan)
- GPT-5 — 4 credits (about 2.5 ₽)
- Claude 4.7 Opus — 6 credits (about 3.8 ₽)
On the Basic plan with 3000 credits per month, that's 1000 GPT-5 replies, 500 Claude, or 750 Gemini in mixed use. Most users will find that's more than enough.
Compare that to individual subscriptions: ChatGPT Plus — 2000 ₽/month, Claude Pro — 1700 ₽, Gemini Advanced — 1500 ₽. Three separate subscriptions total 5200 ₽ a month. Quantium Basic is 690 ₽, and it includes 30+ other models.
Scenario Verdicts
Bottom line: don't pick just one model. Quantium gives you all three, and you switch with a single command. The best strategy is learning to feel out which model is stronger when.
How to Switch Models in Quantium
In the bot, send the /model command. You'll see a list of 15+ AI models: GPT-5, Claude 4.7 Opus, Gemini 3 Pro, plus DeepSeek, Llama 3.3, Grok 3, Mistral Large, and more. Pick the one you want, and your next dialogue runs through it. Credits are counted separately for each model.
Plus, you can create an auto-task that, every morning at 9:00 AM, runs a scenario like "summarize news in my niche via Gemini, then generate a channel post via GPT-5." That's an automation level that used to require a separate n8n integration.
Related materials: ChatGPT vs Gemini vs Grok, AI memory and context, auto-tasks for work.
FAQ
Which AI chat is best for programmers?
Claude 4.7 Opus. It scores 79% on the SWE-bench Verified benchmark, beating GPT-5's 71% and Gemini 3 Pro's 68%. You'll really notice the difference on actual refactoring and debugging tasks — Claude more often gives you code that runs on the first try.
What about copywriting and creative tasks?
GPT-5. It's got the most vibrant, natural Russian, with the best feel for style and tone. Especially strong for marketing copy, social media posts, and scripts. Claude is more correct, but drier.
What should I pick for long documents?
Gemini 3 Pro, with its 2M token window — that's about 1500 pages of text at once. GPT-5 has 400K tokens, Claude 4.7 has 1M in Quantium. For analyzing entire books, codebases, or huge legal briefs, go with Gemini.
How many credits does each model cost in Quantium?
GPT-5 costs 4 credits per response, Claude 4.7 Opus is 6 credits, and Gemini 3 Pro is 3 credits. On the Basic plan, that's like 2.5–4 ₽ per reply.
Can I use all three models with one subscription?
Yep, all three flagship models are available in Quantium with one subscription — just switch models using the /model command. It's the cheapest way to keep an arsenal of all the top LLMs.
All Three Models — One Subscription
GPT-5, Claude 4.7 Opus, and Gemini 3 Pro in one Telegram bot. Get 20 free credits to try it out.
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