AI models for every need

Which model should I start with?

GPT-5.4 Mini (2×) is the system default — a capable, well-rounded everyday choice. If you're skimming a lot and want the lowest cost, the 1× models (GLM 4.7, DeepSeek V3.2) are the fastest and cheapest. When an article is especially dense or the argument is tangled, a higher-tier model reads the logic more carefully and is less likely to misread what it actually says. Every model we offer can do the job — the cheaper ones just slip slightly more often on complex reasoning, so stepping up is an easy way to add confidence when you want it.

Can I use different models for different analysis types?

Yes. In the Chrome extension settings, switch to "per-analysis" mode to assign a different model to each analysis type. For example, use GLM 4.7 for everyday bias checks and Claude Sonnet for moral assessment.

Do all plans get access to all models?

Yes — every plan can use every model, including the free trial. The only difference between plans is the monthly analysis allowance, not which models you can access.

Can I analyse non-English articles?

Yes — BiasChecker works on articles in any major language. In our testing, quality held up across Chinese, Arabic, and German with no drop versus English, and on-page highlighting works because quotes are extracted in the article's original language. The analysis itself is written in English — except the GPT-5 models (GPT-5.1, GPT-5.4 Mini), which write theirs in the article's own language.

How widely a model is documented to support languages does vary, and each model card above shows it: broadly multilingual models (Gemini, GPT-5, Claude) are built for 100+ languages; the Chinese & English specialists (GLM, Kimi, DeepSeek) are strongest in those two with solid coverage of other majors; and Grok is English-first with a shorter official list. For non-English news, a broadly-multilingual model is the safest pick.

One thing to note: BiasChecker analyses the text as it appears on the page. If your browser's "Translate this page" feature is switched on, it will analyse the translated version — so turn page translation off if you want the original language checked.

Why do some models cost more?

More expensive models are generally larger, newer, or use reasoning techniques that require more computation. Larger models also know more about the world and read further into long articles, which shows up as more depth and fuller coverage on lenses like Key Omissions, Background Context, Legal Risk, Critical Thinking, and Scientific Rigour — where bigger models were quicker to flag shaky claims in advocacy pieces (though on a rigorous primary-science paper every tier agreed it was sound). For straightforward text-reading checks, a 1× model does a great job.

Is there a limit on article length?

Every model can analyse an article up to 150,000 characters (~25,000 words). In our max-length tests, models across the price range held full analysis depth all the way to that limit; the only thing that varied was how closely a model engaged with content right at the very end of a very long read, and that tracked the individual model rather than its price tier. For anything longer than 150,000 characters, select the section you care about and analyse that.

How is usage measured?

In tokens — that's the exact measure. Tokens are the small chunks of text a model reads and writes (roughly ¾ of a word each), and every analysis draws down your monthly token allowance by the actual amount of text read and written, multiplied by the model's rate (a 1× model costs the raw token count, a premium model costs ×its multiplier). Longer articles and pricier models therefore use more tokens. To make this easy to picture, we also show it as analyses: a typical article checked for one type on a 1× model is ≈ 5,000 tokens, so that's "one analysis" — but the underlying meter is always tokens, and your allowance resets each billing cycle.

Can I switch models at any time?

Yes — pick a different model from the side panel dropdown whenever you like, no plan change needed. Each check is simply charged at the multiplier of the model you used, so you can run everyday articles on a 1× model and save the expensive ones for pieces that matter.

What happens if I use up my monthly analyses?

Your allowance refills at the start of each billing cycle. If you run out mid-month, a credit pack (from $15 for ~500 analyses / 2.5M tokens) tops you up instantly — credits are only consumed after your plan allowance. And articles the community has already analysed stay free on subscription plans, so popular news often costs you nothing at all.