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Reflex (Morph)

Morph's Reflex is a hosted 27B decision model, based on Qwen 3.5, that answers yes/no, choice and score questions about text, JSON or images, and charges less when the same input comes back with a new question.

Source screenshot of Reflex (Morph)
SOURCE SCREENSHOTFull screenshot ↗

What it does

Input costs $0.042 per million tokens the first time and $0.008 once cached, output is free, and caching needs no flag or cache ID. Morph's example is a support ticket asked about department, urgency, anger, refunds and spam. The launch posts call Reflex "10-20x cheaper than Jev" with "similar intelligence to other leading decision models" and say it is also on OpenRouter, but Morph has published no benchmark table behind the comparison.

How you can use it

You can have a developer connect your app to Morph's Reflex with an access key from the service. When a support ticket arrives, the app can send the same ticket text several times, each with a new question, such as which team should handle it, how urgent it is, or whether the customer wants a refund. Morph says the repeated text is then billed at a cheaper cached rate, though caching is not guaranteed every time.

Maker-reported (not independently measured by JevMade)

Morph docs: POST /v1/systemone with model "reflex", 65,536-token context; $0.042 per 1M uncached input tokens, $0.008 per 1M cached; zero output tokens. · Docs' five-call test with a satellite image: repeats reused 1,216 of 1,328 input tokens (91.6%); first call 890 ms, repeat 220 ms; switching to a blank image missed the cache and changed the decision. The docs call these measured calls, not latency guarantees. · Images: PNG, JPEG or WebP as inline base64, up to 16 images and 8 MB each. · Nick Khami's launch post: "10-20x cheaper than Jev" and "similar intelligence to other leading decision models"; no published benchmark table found.

Primitives
noul, choice, score
Platform
Morph API
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