ChatGPT (reasoning models) recommended
Strength
Deep multi-step reasoning on hard problems; can check numbers by running code.
Weakness
Slower per query in reasoning mode.
When to use
Olympiad-style problems, competition math, advanced proofs.
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From homework to formal proofs — which AI for math actually gets the arithmetic right, and how to check it.
No credit card · run the same prompt across all 4 models in one window
An AI math solver reads a problem — typed, pasted or uploaded as a photo — and works it out step by step. The best results come from reasoning-mode models (ChatGPT's reasoning models, Claude's extended thinking, Gemini's thinking models), which now solve problems that stumped earlier AIs. They can still slip on arithmetic a pocket calculator wouldn't, so the solver you trust should check its own numbers.
In MultipleChat that check is built in: ChatGPT and Claude can run code in a sandbox to compute the arithmetic instead of predicting it, and you can send the same problem to several models and see whether their answers agree. Below: the quick picks, the full ranking, and a four-step routine for when the answer matters.
Quick picks
Competition or proof-style problems
ChatGPT (reasoning)
Deepest multi-step reasoning; slower per answer.
Homework help and tutoring
Claude
Clearest step-by-step working and explanations.
A photo of a worksheet
Gemini
Reliable at reading handwritten and printed problems.
Statistics on your own data
ChatGPT or Claude + code
Numbers are computed in a sandbox, not predicted.
A fast second opinion
Grok
Commits to an answer quickly; good for cross-checks.
For multi-step problems that need real chain-of-thought, OpenAI's reasoning models are the strongest math AI solver in our testing. Claude's extended thinking is a close second and often produces clearer working. Whichever you use, ask it to verify the arithmetic with code, then compare against a second model before you rely on the answer.
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Strength
Deep multi-step reasoning on hard problems; can check numbers by running code.
Weakness
Slower per query in reasoning mode.
When to use
Olympiad-style problems, competition math, advanced proofs.
Strength
Clearest working, strong on word problems and applied math; can check numbers by running code.
Weakness
Slightly behind on competition-style problems.
When to use
Word problems, applied calculations, math tutoring.
Strength
Strong on mixed numerical problems; reads photos of handwritten work well.
Weakness
Less consistent on long, formal proofs.
When to use
Photographed worksheets, applied and numerical problems.
Strength
Fast and willing to commit to an answer.
Weakness
Shows less working than the others by default.
When to use
Quick verifications, second opinions.
Ranking reviewed October 2026 against each provider's current flagship: OpenAI GPT-6.1 Sol and GPT-6 Astra, Anthropic Claude Opus 5.5, Google Gemini 4 Argon and xAI Grok 4.7. Scores reflect our hands-on testing, not a published benchmark.
Does it actually compute the numbers right — and will it run code to check them?
Will it follow multi-step proofs without losing the thread?
Can you see every step, or does it skip to the answer?
Can it read a photo or screenshot of a handwritten or printed problem correctly before solving it?
Do two independent models reach the same answer? Agreement is a strong signal; disagreement tells you exactly where to look.
Before reading the solution, make sure the model restated your problem exactly — one misread exponent or sign changes everything, especially from a photo.
A bare answer can't be checked. Steps show you where the reasoning goes wrong, and they are what you actually need to learn the method.
Ask ChatGPT or Claude to run code for the calculations. A sandbox computes the numbers instead of predicting them.
Send the same problem to another model side by side. If both agree, you can be fairly confident; if they disagree, the first differing step is the one to check by hand.
For hard, multi-step problems, ChatGPT's reasoning models; for clear step-by-step working and word problems, Claude. The most reliable setup is to use both: let one solve, have the arithmetic checked with code, and compare the answer with a second model in MultipleChat.
Yes. With a free account you can upload a PNG, JPG or screenshot in the chat and multimodal models read it visually. Check that the model restated the problem correctly before trusting the solution — a misread exponent changes everything.
Claude for tutoring, because it shows the clearest working. Ask it to explain each step and why it works, not just to give the answer.
Use a model that can run code, so the numbers are computed rather than predicted — in MultipleChat, ChatGPT and Claude can both do this on an uploaded spreadsheet. Use AI to explain and write about the result.
Usually, but not always. Ask it to check the arithmetic with code or against a calculator, and use it to understand the method, not just to copy the answer.
Ask for steps, then ask the model to verify the calculation by running code. Or run two models in MultipleChat and compare — if they disagree, that is the step to check.
MultipleChat lets you run the same prompt across ChatGPT, Claude, Gemini and Grok side-by-side. Verify the ranking on your actual work, not someone else's benchmark.
Try MultipleChat FreeAlso see: Which AI should I use? (quiz) · Best AI for other tasks · AI for your profession
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Use several frontier models together for stronger answers and fewer blind spots.
ComparisonCompare several AI answers side by side when the output matters.
PricingSee the AI subscription that replaces separate ChatGPT, Claude, Gemini, Grok and Perplexity accounts.
Multi-model AIRun the same prompt through available ChatGPT, Claude, Gemini and Grok models and compare their answers.
GuideChoose the best model for writing, research, coding, documents, images and business work.
AlternativeUse ChatGPT alternatives together: Claude, Gemini, Grok, Perplexity, files, web search and creation tools.