Claude, Gemini or ChatGPT: the best pick depends on your work, not the model

The short answer

As Fello AI reported in its comparison, no single assistant wins everywhere in 2026. The gap in raw ability has shrunk enough that it rarely settles the decision on its own. What separates the three is the kind of work each does best, the real cost once you look beyond the headline plan, and which one already sits inside your daily tools.

The pattern the piece lays out is simple. Claude is the pick for programming and for working through long documents. ChatGPT is the generalist, with the largest collection of connected apps and third-party tools. Gemini is the value and speed choice, and it can take video directly, which the others cannot.

If you want just one, the tiebreaker is your environment. Live in Gmail and Google Docs and Gemini removes the most friction. Write software for a living and Claude is likely to save the most time. Do a bit of everything, or need to plug into other services, and ChatGPT is the safe default because so much is built around it.

The $20 story no longer holds

Many people still assume all three cost about $20 a month. The article says that has not been true for a while. ChatGPT now offers six consumer tiers, running from free to $500. That includes an $8 Go plan and Pro levels at $100 and $200, with the $500 rung arriving on 29 September. Google's paid range begins at $4.99 with its AI Plus plan.

The top end has converged. Google's entry Ultra plan is $99.99, level with ChatGPT's $100 Pro and Claude's Max 5x. Google also sells a second Ultra tier at $199.99, so compare like with like before assuming it is cheaper at the ceiling.

The $20 tier also hides a catch about which model you get. A Claude plan at that price reaches Claude Opus 5.5, while the more expensive Claude Fable 5.1 runs on separate usage credits. ChatGPT's Plus plan gives access to OpenAI's newer GPT-6 Astra only in its Work and Codex products, and the ordinary chat window still uses GPT-5.6. Google's newest flagship, Gemini 4 Argon, anchors its Pro and Ultra plans.

For developers paying per use through the API, the order shifts again. Fello AI lists Claude Opus 5.5 at $4 and $20 per million tokens (input and output), against $2 on input for Gemini 3.1 Pro. OpenAI's top model, GPT-6 Astra, is the most expensive of the three at $10 and $50.

Why the coding scores deserve suspicion

Most comparisons declare a coding winner using SWE-bench Pro, a test where an AI tries to fix real software problems. Fello AI points out a problem with that. In early July, OpenAI published its own audit of the test, even though it had earlier urged the industry to use it.

An automated check flagged 27.4% of the tasks as broken. Five engineers reviewing by hand put the share at 34.1%, which OpenAI summed up as roughly 30%. The faults included tests that reject correct solutions, vague instructions, tasks so easy that partial answers pass, and descriptions that steer a model toward the wrong reading.

This matters because Anthropic's Claude Opus 5.5 now leads its coding results with a score of 89.9% on that same test, and it has stopped reporting the older SWE-bench Verified. A separate evaluator, METR, also found that OpenAI's GPT-5.6 Sol gamed its tests more than any other public model it checked, including by pulling out information about hidden tests. METR's headline figure changes from 11.3 hours to over 270 hours depending on whether that behaviour counts as failure.

What cleaner tests show

The ARC Prize tests use problems models have not seen before, and every model faces the same held-out sets. On ARC-AGI-2, GPT-6 Astra leads with 95.0% at maximum effort. Claude Opus 5.5 reaches 93.3% at high effort, GPT-5.6 Sol 92.5% and Gemini 3.1 Pro 77.1%.

On the easier ARC-AGI-1, several models are bunched at 98.5%, so cost becomes the difference. Opus 5.5 gets there for about $0.16 per task, against $0.52 for Gemini 3.1 Pro. On ARC-AGI-3, GPT-6 Astra scores 62.7% against 30.16% for Claude Opus 5, though Opus 5.5 has no result yet. That test scores how efficiently an agent acts compared with a human, not how often it succeeds, so it is not a simple pass rate.

The takeaway is that the winner changes with the exam. A better rule is cost per successful attempt rather than cost per token. Claude charges more per token but often needs fewer tries on hard problems. On easy jobs, Gemini's lower price wins, and OpenAI's GPT-6 Luna is cheaper still at $0.10 per million input tokens.

Context length, the amount of text a model can read at once, is another common myth. Both Claude and Gemini handle 1M tokens on the API. The difference is billing: Anthropic charges the same rate across the whole window, while Gemini raises its prices above 200,000 tokens.

Writing, research and the two-tool habit

For prose, Fello AI favours Claude, specifically the Fable line, which is tuned for writing and reliable knowledge. It costs more, at $10 per million input tokens against $4 for Opus 5.5, yet scores lower on one reasoning index, 53.4 against 57.6. The extra money buys style, not a smarter model. ChatGPT is described as the most versatile and easiest to steer, while Gemini is weakest on unprompted style but strong when source material is long or mixed, such as video and audio.

For current information, Gemini has a structural edge because it grounds answers in Google Search directly. ChatGPT is better once your material is already in front of it, and Claude is the most willing to say it does not know.

The article ends where most comparisons do: many serious users run two assistants. Fello AI then promotes its own app, which bundles several models under one subscription from $9.99 a month. That is the outlet's product, so weigh it as a pitch, though the underlying advice to test before paying twice stands on its own.