[sS] Compare AI Models: Claude, GPT, Gemini, DeepSeek | Calik AI

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Six comparisons

Compare AI models by what they are actually good at

No benchmark tables, because benchmark tables go stale and were never measuring your work anyway. What is here is what each model is reached for, where it costs you, and how to put two of them on the same question and read the disagreement yourself.

Claude vs GPT

The most asked comparison in AI, and the one where a single verdict helps least. They are close enough that the difference shows up in your task rather than in a benchmark table.

Anthropic · OpenAI

Claude vs Gemini

A genuine split rather than a ranking. One is built to be careful and one is built to be quick, and which is better depends entirely on whether you are going to act on the answer immediately.

Anthropic · Google

Gemini vs GPT

For most people this comparison is settled by something other than quality: one has a free tier with no card, the other is the model everything else already integrates with.

Google · OpenAI

DeepSeek vs GPT

The interesting question is not which is better on a single answer. It is which lets you run the model ten times, or on every commit, or over the whole document, without thinking about the bill.

DeepSeek · OpenAI

Claude vs DeepSeek

Both are reached for when thinking matters more than speed. They differ in what they cost to run and in how much of the thinking they let you see.

Anthropic · DeepSeek

Llama vs Mistral

The comparison that matters if you have decided nothing is leaving your computer. Both run locally through Ollama, both cost nothing per token, and the trade is size against efficiency.

Meta · Mistral AI

The models

One line each on what people reach for them for.

ModelMade byReached forFree route
ClaudeAnthropicLong-form writing, code review, and work where following a complicated instruction exactly matters more than answering fastPaid, through an Anthropic key
GPTOpenAIBreadth: the widest tooling, the most integrations, and the model most third-party software assumes you are usingPaid through OpenAI, or free through GitHub Models
GeminiGoogleVery long inputs and multimodal work, and for anyone who wants a capable model without a card on fileFree tier, no card, at aistudio.google.com
DeepSeekDeepSeekReasoning and code at a fraction of what the frontier labs charge, which changes what is worth running at allPaid, but cheap enough that most people never notice the bill
LlamaMetaRunning a capable model on hardware you control, with no per-token bill and nothing leaving the machineFree locally through Ollama, or free hosted through Groq
MistralMistral AIEfficiency: strong output per unit of compute, and a European vendor for teams that need oneFree locally through Ollama, or a Mistral key

Or stop reading comparisons and run one

Agent Mesh puts several models on the same question, lets them read and criticise each other, and converges on one answer with the disagreement left visible. On your own keys, five of which are free to obtain.

Get a free key Read published runs