Best AI for Hindi: Claude Opus and GPT top a 17 model test, and no model knew the idioms

Which AI is best for Hindi?

Five models sit within three points of each other at the top of the main Hindi leaderboard. Artificial Analysis scores Hindi with Global-MMLU-Lite, a multiple choice test that it runs in each language on its own. Here's its Hindi board as we read it in October 2026, out of 100:

Gemini 3.1 Pro leads at 94, Claude Opus 4.6 follows at 92, and three models tie at 91. Gemini 3 Pro lost just 2.3 points between English (93.7) and Hindi (91.3). A multiple choice test like this one sits close to its ceiling. It can't tell you whether a model writes natural Hindi, or whether it knows a muhavara.

The board also runs behind the newest releases. Its top five, as of October 2026, are all older models: no GPT-6 or Claude Opus 5 model is among them. Our own test below covers those. For the wider fight between the three big assistants, see ChatGPT vs Claude vs Gemini.

How did 17 models do on Whizi's own Hindi questions?

GPT Astra, GPT Sol and Claude Opus tied at the top, with 3 of 5 Hindi questions right. That's from our Multilingual LLM Bench, run on 2 October 2026. Every model got the same 5 questions in each of 30 languages, at low reasoning. We graded each answer against a sourced key, and an answer in the wrong language scored zero.

Five questions is a small sample. One question moves a model's Hindi score by 20 points, so read this as a rough order.

Split the answers by question type and the pattern is plain. Calendar maths was easy. Idioms weren't:

The last two questions describe a saying by its meaning and ask for the saying itself: one muhavara (idiom), one kahavat (proverb). All 17 models missed both, so 34 of 34 answers were wrong. The idiom one is public. It asks for the idiom the Hindi Shabdsagar gives for someone so used to a jarring noise that it no longer startles them. The answer is ठठेरे की बिल्ली, the brazier's cat. No model wrote it.

The second local question decided the top. Only GPT Sol, Claude Opus and GPT Astra got it right. That one answer is the whole gap between them and the pack on 2 of 5.

A bigger study points the same way. MILU, from AI4Bharat and IBM Research India, asks more than 40 models questions from Indian exams in 11 languages. GPT-4o led at about 74% average accuracy (paper revised February 2025), and the authors found models did worse on culturally rooted subjects such as arts and humanities, and law and governance.

Don't use our bench to rank Hindi against other languages. Hindi averaged 32.9% across the 17 models and Arabic 41.2%. That says more about how hard each set of five questions was than about the language.

Is ChatGPT good at Hindi?

Yes, ChatGPT is good at standard Hindi. OpenAI's simple-evals results put its o3 reasoning model at 0.898 in Hindi, on an MMLU test that professional translators rewrote in 14 languages. GPT-4.1 mini, a smaller model, scored 0.780, so the cheap tiers fall further behind. In our own test, GPT Sol and GPT Astra tied first, and GPT Luna, the cheapest GPT we ran, got 2 of 5.

Anthropic publishes the same test for Claude. Its multilingual support page says Claude Sonnet 4.5 kept 96.7% of its English score in Hindi, and the smaller Claude Haiku 4.5 kept 92.4%. For the big chatbots, Hindi is close to a first class language.

Which AI is best for Hindi to English translation?

Gemini Pro and Claude are the best AIs for Hindi translation on the one recent test graded by people. A WMT 2025 study translated 5,000 legal sentences from English to Hindi. Its authors write that "Gemini-2.5-Pro, Claude-4 and ONLINE-B topped the performance charts" under human evaluation.

Paste Devanagari, not Hinglish typed in Roman letters, when you can. Anthropic's guide says it plainly: "Submit text in its native script rather than transliteration for optimal results." Then use a prompt that protects the parts machines get wrong:

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Translate this Hindi text into natural English for [a business email / a school report / subtitles].

Keep every name, number, date and amount exactly as written.

If a Hindi idiom has no English match, translate its meaning and put the Hindi in brackets.

At the end, list any word you were unsure of.

[paste the Hindi text here]

```

Swap the direction for English to Hindi, and say which Hindi you want: everyday spoken Hindi, or formal Hindi for an official letter. Our guide to using AI to translate has more prompts and the checks to run after.

Which AI is best for Hindi writing, essays and scripts?

Claude Opus is the best AI for Hindi writing when you tell it the register. Ask for Devanagari, say whether you want everyday Hindi or formal shuddh Hindi, and give the length and the reader. Then check every muhavara by hand. In our test no model could name a real muhavara or kahavat from its meaning, so a model that drops one into your essay may be guessing.

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Write in standard Hindi, in Devanagari script, not Hinglish.

Use simple everyday Hindi, not Sanskrit-heavy shuddh Hindi, unless I ask.

Keep English words only where Hindi speakers normally use them.

If you use a muhavara, add its meaning in brackets so I can check it.

Task: a [essay / YouTube script / speech] on [topic], about [300] words, for [class 8 students / a general audience].

```

The same prompt works for a YouTube script: swap the task line and ask for short spoken sentences. For school work, ask for the steps and the reasoning, not a finished answer to copy. Our guide on using ChatGPT for homework covers that part.

Which AI can talk in Hindi by voice?

Gemini Live talks in Hindi, and Google has offered it since 3 October 2024. Google's launch post said "over 40% of Gemini's Indian language users" already relied on voice. Indus by Sarvam is the Indian option. Its App Store listing is free as of October 2026 and says: "Just tap the mic and ask your question out loud." It's rolling out on limited compute, and Sarvam co-founder Pratyush Kumar warned at launch that "you may hit a waitlist at first."

ChatGPT Voice is the one we can't vouch for here. OpenAI's help page for it, read in October 2026, lists plan limits (3 hours per rolling 24 hours on Plus) but no languages, so try it on your own Hindi before you pay for it.

A voiceover from a script is a different job. Use a text to speech tool, not a chatbot. ElevenLabs lists Hindi and gives 10,000 free characters a month. Sarvam's Bulbul lists hi-IN among 11 languages (10 Indian plus English), with more than 30 voices.

Should you use an Indian model like Sarvam, Nanda or Nemotron Hindi?

Use an Indian model when you want to run it yourself, or when you work across many Indian languages. For Hindi quality alone, Claude, GPT and Gemini have the independent scores and the Indian models don't yet. We found no independent Hindi score for Sarvam 105B as of October 2026. Artificial Analysis gives it 18 on its general Intelligence Index (2 April 2026), a reasoning measure, not a Hindi one.

Each lab grades itself, so read their claims as claims. Sarvam's model card promises "state-of-the-art performance across 22 Indian languages" for its size, but the benchmarks it lists cover knowledge, code, maths and agent tasks, none of them in Hindi. MBZUAI says Nanda beats open models of similar size on Hindi. Two names collide here, too: Sarvam's Indus app and Tech Mahindra's Indus 2.0 are different products.

Where does Whizi fit for Hindi?

Whizi is our product, so here's where it helps and where it loses. The interface runs in Hindi. Pro at $29.99 a month includes Claude Opus, ChatGPT Sol and Gemini Pro, and its side by side model chats run one Hindi prompt through two models at once, each billed at its own rate. GPT Astra, the third model that tied first in our test, needs Powerhouse at $49.99. Starter at $15.99 has ChatGPT Luna, which got 2 of 5 of our Hindi questions, and Claude Haiku. Whizi loses on the Indian side. It carries no Sarvam or Nanda model, so if you want an Indian model, Indus is the better pick. Side by side model chats shows how compare works.