Amos 1

Amos 1 is a recently tracked product, model, or tool in public channels. The radar excerpt reads:

Zaid Mukaddam (Scira) launched Amos 1 on Oct 13: four Apache-2.0 open-weight decision models (0.5B mini → 27B large) that read text/JSON/photos and return typed probabilities (no text generation) in 27–122 ms. Decision Bench 94.9% (#1 vs Perplexity Decider / Gemini / Jev); JevBench hard 84.7 vs Jev 74.1. Free API api.amos.scira.ai. Launch tweet ~32k views / 857 likes; still compared vs Mercury Decide / Jev 1.14 in this window. HF mukaddamzaid/amos-1-large 16★.

The recorded source label is X+Web. Use the public URL below to verify the original post or page.

Based only on the excerpt, Amos 1 should be understood from the facts stated there. This write-up does not invent funding amounts, model sizes, or leaderboard scores that are absent from the excerpt or URL metadata.

Confirmable points from the excerpt:

• Zaid Mukaddam (Scira) launched Amos 1 on Oct 13: four Apache-2.0 open-weight decision models (0.5B mini → 27B large) that read text/JSON/photos and return typed probabilities (no text generation) in 27–122 ms.

• Decision Bench 94.9% (#1 vs Perplexity Decider / Gemini / Jev); JevBench hard 84.7 vs Jev 74.1.

• Free API api.amos.scira.ai.

• Launch tweet ~32k views / 857 likes; still compared vs Mercury Decide / Jev 1.14 in this window.

• HF mukaddamzaid/amos-1-large 16★.

The radar score for this entry is 0.86 (an internal ranking field, not a third-party benchmark score).

To learn more or try Amos 1, start from public sources:

1. Open the source link: https://amos.scira.ai/ and check the official description and availability.

2. Follow any access path mentioned in the excerpt (API, open weights, waitlist, in-product entry) using official instructions.

3. Before production use, verify license terms, regional availability, and safety limits yourself; do not assume quotas, prices, or eval scores that the excerpt does not state.