Hangi Yapay Zekâ Modeli?
İş hakkında dört soruyu yanıtlayın, gerekçeli bir model önerisi alın — bağlam penceresi, çıktı sınırı ve milyon token başına fiyat yan yana, teknik dokümanın içine gömülü değil.
Runs in your browser. Nothing you select is sent anywhere.
Önerilen
—
Bütün modeller yan yana
| Model | Bağlam | Maksimum çıktı | In $/1M | Out $/1M |
|---|
How to choose a model for a task
- Say what kind of work it is. Reasoning, coding and agent loops reward a stronger model; classification and extraction usually do not.
- Say how much context it needs. A long document, a whole codebase or a long conversation rules out smaller windows before anything else matters.
- Say how sensitive you are to cost. At high volume the price gap between tiers is the whole budget. At low volume it is rounding.
- Read the reasoning, not just the winner. The tool explains why it ranked what it ranked, so you can disagree with it on a point you know better than it does.
Kararı asıl belirleyenler
Önce bağlam, çünkü aşılamaz bir sınır. Everything else is a trade-off you can tune; a window that cannot hold the job is simply the wrong tool. Work out the largest single request you will ever send — system prompt, retrieved documents, conversation history and the reply, added together — and eliminate anything that cannot hold it with room to spare.
Sonra hata maliyeti. If a wrong answer is caught by a test, a reviewer or an obvious visual defect, a cheaper model is a reasonable bet. If a wrong answer ships silently to a client, it is not. This is the question people skip, and it is the one that should move the decision most.
Hacim en son. Below a few thousand calls a month, the difference between the cheapest and dearest model here is smaller than the time you would spend optimising it. Above a few million it is the entire budget. Know which world you are in before you economise.
Sık sorulan sorular
How do I choose between a frontier model and a cheaper one?
Start with the strongest model to establish the quality ceiling, then step down and measure where quality actually breaks. Choosing cheap first hides whether the task was ever achievable; choosing expensive forever pays for capability the task never needed. The step-down test takes an afternoon and usually saves more than it costs.
What is a context window, in practice?
The total tokens the model can hold at once — your system prompt, the conversation so far, any documents you pasted, and its own reply, all counted together. Exceeding it does not error politely; the oldest content stops being visible to the model, which looks like sudden amnesia.
Does a bigger context window mean I should send more?
No. Every token in the window is billed on every request, and long irrelevant context measurably degrades answer quality. A large window is insurance against truncation, not an invitation to skip retrieval.
What does the effort or thinking setting change?
How much the model reasons before answering, and therefore how many output tokens it spends. Higher settings improve hard reasoning and agentic work and cost more; lower settings are frequently indistinguishable on routine tasks. It is usually a bigger lever than switching model.
Why are output tokens more expensive than input?
Input is processed in parallel in a single pass; output is generated one token at a time, each one requiring a full pass over the model. The asymmetry is architectural, which is why it holds across providers, and why a verbose model costs more than a long prompt.
Is this comparison complete?
It is complete for the models it lists, and it lists only models whose figures were verified against the vendor reference on the date shown. It deliberately does not include models whose current specifications could not be confirmed — an unverified row in a comparison table is worse than a missing one, because it looks equally authoritative.
Choosing models is the easy half
Leopati produces AI music videos, films and commercials. The models are a commodity; what makes the work usable is direction, consistency and finishing — which is the part that does not come out of a spec table.
Projeyi başlatın Ne yapıyoruz Yapay zekâ videosu ne kadar tutar