We pay full retail for every AI subscription, then run 240 prompts across writing, code, research and data tasks every 90 days. No vendor demos, no API discounts — just what survives a real workload.
Three AI subscriptions we'd pay for ourselves in 2026 — picked for different jobs.
"Still the most consistent assistant for daily work — strong at writing, code, and tools."
"Beats GPT-5 on multi-step code reasoning in our benchmark — at the same $20."
"Strongest research workflow thanks to native Google integration and a 2M-token context window."
Editorial drafts, articles and emails that need a human voice.
Multi-file refactors, language migration, debugging strange errors.
AI that actually cites where it got the answer — no hallucinated URLs.
CSV cleanup, pivot tables, financial models — Code Interpreter wins here.
Style-aware rewrites and translations that don't sound like a 2018 Google Translate.
Marketing visuals, brand kits, and one-off illustrations.
No vendor demos, no API discounts. Every model gets the same 240-prompt benchmark across writing, code, research, data and translation tasks — and we publish what came out of the rerun.
Read full methodologySix questions we get asked every week. If yours isn't here, write to editors@tuto.digital — we usually reply within 48 hours.
It depends on what you do most. For long-form writing and general-purpose work, ChatGPT is still the safest pick. For multi-step code, Claude is now ahead. For research, Gemini (or Perplexity).
All three are $20/mo. Pick the one whose top use case overlaps your week most — and switch every 6 months. We rerun this benchmark quarterly because the leaderboard shifts.
Free tiers usually mean older models, lower usage caps, no advanced tools (Code Interpreter, Deep Research, Projects), and no API access. For occasional questions, free is fine. For daily work, the $20/mo plans pay back in saved time within a week.
Only with citations. The newer models (GPT-5, Claude Sonnet 4.5, Gemini Ultra 2) hallucinate far less than 2023-era models, but they still occasionally invent a plausible-sounding source. Use research-mode tools (Perplexity, Gemini Deep Research) that actually link the page they're quoting, and double-check anything that matters.
Five task families: writing, code, research, data, translation. Each family has 48 prompts run on every model, with two reviewers scoring blind. Final score is weighted by how often we see each task in real work — writing and code carry the most weight, which is why all-rounders dominate the top of the leaderboard.
We benchmark them too. Mistral Large 2 and Llama 3.3 70B are competitive in some niches (code, multilingual). Grok 3 is fast but inconsistent. Local models (Ollama + Qwen, Phi) are useful when you can't send data to a vendor. None of them are top-3 across the whole benchmark yet — but the gap is closing fast.
Yes — and we say so on every page. If you subscribe through one of our links, we earn a commission. It does not change the price, and it does not change our verdict. Two of our top-rated tools (Mistral, local Llama setups) don't have affiliate programs at all — we still cover them when they're the right answer.
When an AI provider drops a real discount — student plans, annual price cuts, lifetime deals on niche tools — you'll hear about it. No noise from press releases. Unsubscribe anytime.
