Compare / Models
Jev vs Microsoft-Decision-1
Price, context window and capabilities side by side, read from the same catalog that meters your calls, not from a press release.
Microsoft-Decision-1 holds 33K tokens against 32K.
At a glance
Side by side
TypeSafe
Typed decisions with calibrated probabilities in about 100 ms. No generated text, so nothing to parse and nothing to hallucinate.
Microsoft
Microsoft's decision model: typed answers with calibrated probabilities, first on accuracy and the fastest measured in Microsoft's 36-benchmark comparison.
Specifications
Every difference we can measure
| Jev | Microsoft-Decision-1 | |
|---|---|---|
| Input price | $0.042/M | $0.042/M |
| Output price | $0/M | $0/M |
| Context window | 32K tokens | 33K tokens |
A row appears only when we hold the fact for both models. Anything the provider has not published is left out rather than guessed, so an empty row is missing data and never a zero.
Keep looking
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FAQ
Frequently asked questions
What is the difference between Jev and Microsoft-Decision-1?
Microsoft-Decision-1 holds 33K tokens against 32K. Both run on the same endpoint and the same key here, so trying each is a one-line change to the model id.
Which is cheaper, Jev or Microsoft-Decision-1?
Jev is, on input tokens. Output usually dominates the bill on generative work, so check the output row above against your own ratio of prompt to completion before deciding.
Can I switch between Jev and Microsoft-Decision-1 without changing my code?
Yes. Both are OpenAI-compatible through one CompanyFabric key, so switching is the model string and nothing else, no second SDK, no second contract, one prepaid balance across both.
Do I have to choose?
No. Send companyfabric/auto and we route each request to the cheapest model that can serve it, which is how most people use both without deciding in advance.
One key. Every model. Exact prices.
Run Jev and Microsoft-Decision-1 on the same key and compare them on your own prompts. Free starter credits included, no subscription required.