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uxwizz.com
#244

Space Bunny Alpha

Stealth Release: 2026-09-24 Tested on: 2026-09-30 23:12 stealth/space-bunny-alpha::medium
-OtherClosed

Summary

Space Bunny Alpha scores 6.3 on AI BENCHY and ranks #244. It has 10.0 reliability, a 55.1% pass rate, $0.000 total cost, and 32.88s average response time.

What makes Space Bunny Alpha unique: Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-09-24

Parameters
-
Architecture
Other
Availability
Closed
License
-

OpenRouter identifies an anonymous third-party API preview. The exact checkpoint's provider, parameter counts, and architecture are undisclosed; there is no sourced basis for a numeric estimate or an identity relation. Official page settings require reasoning and list low, medium, high, xhigh, and max efforts.

Score

6.3

Consistency

8.2

Total Output Tokens

192,115

Total Input Tokens

267,840

Input Price

$0.000 / 1M

Output Price

$0.000 / 1M

Cache Read Price

N/A

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 13

Attempt pass rate: 55.1%

Flaky tests

5

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

32.88s

Response Time (max): 197.32s

Response Time (total): 756.28s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#244 Space Bunny Alpha

medium
Cost
$0.000
Time
35.4s
Tokens
4,894 tok

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 6.1 3.1
Anti-AI Tricks 5.2 8.0
Coding 5.4 7.2
Combined 3.8 5.8
Data parsing and extraction 10.0 10.0
Domain specific 5.3 7.2
General Intelligence 4.4 9.9
Instructions following 9.8 10.0
Puzzle Solving 7.9 9.9
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models