Image JevBench v0.3.0 · individual system

kettei-chub (Sqwish)

Closed APIBase model: undisclosed

Published source

the operator's hosted API

Image JevBench v0.3.0 composite score

63.523

Rank #4 of 59 ranked systems.

From the published full-benchmark aggregate. The composite combines intelligence, calibration, speed and cost.

Published axes

intelligence
47.9
calibration
85.2
speed
86.2
cost
74.1

Cost and speed evidence

Cost per 1,000 decisions
USD 0.007286
Cost basis
Sqwish list price USD 0.04 per 1M input tokens x usage.input_tokens (text + 64 per image; no output tokens)
Measured latency · p50 / p95
0.307 s / 0.777 s
Adjusted latency · p50 / p95
0.307 s / 0.777 s
Latency adjustment
none (hosted API, measured as is)
Public accuracy
60.4%
Sealed accuracy
68.8%
Measurement note
Official ImageJev v0.3 A300+P300 pass 1 on 16 Oct 2026 (17:35-17:43 UTC) through Sqwish's OneHot API (api.sqwish.ai/v1/systemone), model kettei-chub (the middle kettei size; Sqwish docs: kettei-chub v1.0, released 14 Oct 2026). kettei-chub was reported on all 600 responses (no version field returned). Request: the item question and image as state (the image as a Sqwish image asset, TypeSafe-compatible form that Sqwish documents for /v1/systemone), one choice question with the same option text as the Jev-images rows, native option probabilities. /v1/systemone never falls back to another model (the named model answers or the request fails); the adapter also stopped on any response naming another model or a fallback, or reporting an unread image. 600 of 600 answered (HTTP 200): no refusals, no errors, no item was re-sent by the harness. Images within Sqwish's documented limits (JPEG/PNG/WebP still images, at most 20 MiB, 64 megapixels, aspect ratio 200:1; the server resizes to 65,536-2,097,152 pixels itself) were sent byte-identical; 7 BMP files were re-encoded losslessly as PNG (6 public, 1 sealed), so 7 of 600 images were transformed; no image was resized client-side. Other systems received images under their own provider limits, so image treatment differs between rows. Latency is the end-to-end request time from Sandy, one request at a time. Exposure was logged before dispatch. Measured for a paid fast-lane evaluation order; published under the order's public-visibility setting. Cost counts the 64 tokens Sqwish bills per image; on the about 1,400 tokens the model reads per item (text plus about 1,310 image tokens) the composite would be 45.4 (kettei-fat, #5) and 50.2 (kettei-chub, #3); Capability does not depend on cost. Sqwish's pricing page says you pay for what OneHot reads, while its images page bills each image as 64 input tokens; cost follows the images page, and the order's key was charged USD 0, so no real charge confirms either reading.

Published 2026-10-16. Scores and ranks can change in a later release. See the method notes.