Four major AI assistants, four different strengths — and a monthly bill that goes to waste if you pick wrong. This piece is for founders, developers and companies who want to match the tool to the actual job: coding, research, writing, or working with documents. No hype — prices linked to sources, current models (July 2026), and honest trade-offs. Prices are in USD; monthly subscription figures are the primary numbers.
TL;DR
- Coding and agents → Claude (Opus 4.8 / Sonnet 5 + Claude Code). Strongest at long, autonomous programming tasks.
- Web research with citations → Perplexity. An AI search engine with footnotes to sources, not a chatbot answering from memory.
- All-purpose assistant + image/video generation → ChatGPT (GPT-5.5). The widest feature set in one subscription.
- Working inside Google (Gmail, Docs, Sheets) → Gemini (3.1 Pro). Cheapest entry and native Workspace integration.
- Common pricing shape: the "pro-consumer" plan is ~$20/mo, and power-user top tiers run $100–$200/mo.
ChatGPT (OpenAI) — the widest Swiss Army knife
- Flagship model: GPT-5.5 (released 2026-04-23) — faster and sharper than GPT-5.4.
- Pricing (monthly): Free; Plus $20; Pro $100 (5× Plus quotas, 50 Deep Research sessions); Pro $200 (20× quotas, 250 Deep Research, Sora video, 1M context) — chatgpt.com/pricing.
- Context: Plus ~32K, Pro $100 ~128K, Pro $200 up to 1M tokens.
- Best for: general work — writing, brainstorming, code, file analysis, image and video (Sora) in one subscription.
- Weak spot: the full 1M window and the most interesting features sit on the $200 plan; lower tiers have a much smaller context.
When to choose it: when you want one "do-everything" tool and value the broadest feature set (multimodality, video) over specialization. For a team just starting with AI, it's the safest first pick.
Claude (Anthropic) — the coding king
- Models: Opus 4.8 (flagship, 1M context), Sonnet 5 (quality/cost balance, 1M), Haiku 4.5 (fast and cheap, 200K); Fable 5 as the most-demanding tier. For the heaviest agentic tasks: Opus 4.8 / Fable 5.
- Subscriptions (monthly): Pro $20 ($17 billed annually); Max $100 (5×) or $200 (20×) — claude.com/pricing.
- API pricing (per 1M tokens): Opus 4.8 — $5 in / $25 out; Sonnet 5 — $3/$15 (intro $2/$10 through 2026-08-31); Haiku 4.5 — $1/$5.
- Context: 1M tokens (Opus/Sonnet), 200K (Haiku).
- Best for: coding and agentic work — Claude Code (a CLI included in Pro/Max) runs long, autonomous tasks over a repo. Also strong at analyzing long documents.
- Weak spot: no native image/video generation; web search exists but it's not a research engine like Perplexity.
When to choose it: when you write code, build MVPs, automations or API integrations and want the model that best holds long context and hallucinates least during refactors. It's my default for engineering work.
Perplexity — the research engine
- Model: not its own LLM but a search layer over frontier models (GPT, Claude and Gemini) plus its own Sonar API.
- Pricing (monthly): Free; Pro $20; Max $200 (Perplexity Labs, higher query limits and access to the latest models) — perplexity.ai/pricing. The Comet browser is now free, so it's no longer a Max-only perk.
- What it's for: fast answers with footnotes to sources, literature review, fact-checking, market analysis — research where "how do you know" matters.
- Best for: research on fresh data where you want to click through to the source, not trust the model's memory.
- Weak spot: weaker at long-form writing, complex code and agentic work — it's a "find and cite" tool, not a "build" tool.
When to choose it: when your work is mostly finding and verifying information and citability and freshness are paramount. Great alongside Claude/ChatGPT, less often as your only tool.
Gemini (Google) — native in the Google ecosystem
- Flagship model: Gemini 3.1 Pro (1M-token window); Gemini 3.5 Flash for fast tasks.
- Pricing (monthly): AI Plus $7.99; AI Pro $19.99 (Gemini 3.1 Pro, 1M context); AI Ultra $99.99 (entry) or $200 (top tier) — gemini.google/subscriptions.
- Context: 1M tokens (3.1 Pro).
- Best for: work embedded in Google — Gmail, Docs, Sheets, Drive; if your company lives in Workspace, Gemini is already "in place".
- Weak spot: outside the Google ecosystem its edge fades; for pure coding Claude usually does better.
When to choose it: when your workday is Google Workspace and you want AI that reads and writes directly in your documents and email. Cheapest entry (AI Plus) of the four.
Quick comparison
| Tool | Flagship model | "Pro" price (mo) | Top tier (mo) | Context | Best for |
|---|---|---|---|---|---|
| ChatGPT | GPT-5.5 | $20 | $100–$200 | 32K–1M | All-purpose, image/video |
| Claude | Opus 4.8 / Sonnet 5 | $20 | $100–$200 | 1M (200K Haiku) | Coding, agents, long context |
| Perplexity | frontier + Sonar | $20 | $200 | model-dependent | Research with citations |
| Gemini | Gemini 3.1 Pro | $20 | $100–$200 | 1M | Google ecosystem |
Gemini also has a cheaper AI Plus plan at $7.99/mo. Prices and models change quickly — check the linked pricing pages before deciding.
Which one for which job
- Coding / building MVPs / automations: Claude (Opus 4.8 + Claude Code). Best at holding long repo tasks and least prone to breaking things during refactors. ChatGPT is a solid second.
- Research and fact-checking: Perplexity — answers with footnotes and fresh sources. For deep reports, add ChatGPT's Deep Research mode.
- Writing (content, email, docs): ChatGPT or Claude — both excellent; Claude often better at long, coherent text, ChatGPT at fast, general-purpose output.
- Working with documents: if you live in Google Workspace → Gemini (writes straight into Docs/Sheets/Gmail). Otherwise Claude for long PDFs and analysis, ChatGPT for spreadsheets and multimodality.
FAQ
Which AI assistant is best for programming in 2026?
Claude — Opus 4.8 and Sonnet 5 with Claude Code lead on long, autonomous programming tasks and best hold the 1M context. ChatGPT (GPT-5.5) is a strong second.
Perplexity or ChatGPT for research?
Perplexity when you need answers with source footnotes and fresh data. ChatGPT with Deep Research suits deeper, multi-hour analyses but shows sources less transparently.
How much does an AI assistant cost per month?
The "pro" plan across all four is about $20/mo. Power-user top tiers: $100–$200/mo. Gemini has the cheapest entry — AI Plus at $7.99.
Is it worth paying for several at once?
For many teams, yes: Claude for code, Perplexity for research, ChatGPT/Gemini as an all-purpose assistant. But before adding a second subscription, check whether one tool already covers 80% of your tasks — it usually does.
Practical takeaway
There's no single "best" assistant — there's the best one for your work. Coding and building? Claude. Searching and verifying? Perplexity. Want one tool for everything with image and video? ChatGPT. Live in Google? Gemini. Choose by your dominant task, start with the ~$20 plan, and add a second tool only when you genuinely miss a specific feature.
I select and deploy these tools (plus Claude Code, MCP servers and automations) for founders and companies — from picking the stack to a working prototype. If you want to go from "which one" to "it already works", Book a free call (30 min).
Related: LLM routers: how to cut AI costs, Claude Code token optimization, and what an MCP server is and why your business needs one.