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#130

Elephant Alpha

Openrouter Release: 2026-04-14 Tested on: 2026-05-22 00:40 openrouter/elephant-alpha::none
(medium) (none)

Summary

Elephant Alpha scores 5.2 on AI BENCHY and ranks #130. It has N/A reliability, a 29.8% pass rate, $0.000 total cost, and 1.23s average response time.

What makes Elephant Alpha unique: It stands out most in Anti-AI Tricks, where it ranks #3, while General Intelligence is its weakest area at #12. Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.

Archived model: this model is no longer updated or tested on new tests.

Score

5.2

Consistency

9.6

Reliability

N/A

Total Output Tokens

2,573

Total Input Tokens

0

Input Price

$0.000 / 1M

Output Price

$0.000 / 1M

Tests Correct

Wrong Tests: 14

Attempt pass rate: 29.8%

Flaky tests

1

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

Response Time (avg)

1.23s

Response Time (max): 3.81s

Response Time (total): 22.16s

Generation showcase

Hamster playing table tennis

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

#130 Elephant Alpha

none
Elephant Alpha was a stealth model revealed on April 21st as Ling-2.6-flash. Find it here: https://openrouter.ai/inclusionai/ling-2.6-flash:free
Cost
$0.000
Time
0.1s
Tokens
0 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 14:27 New test added 5.1 N/A $0.000 Compare
2026-05-22 00:40 Suite changed 5.2 N/A $0.000 Current run
2026-04-22 12:55 First recorded run 5.2 N/A $0.000 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-22 00:40 · Suite changed5.29.6N/A5/1912,5730$0.0001.23s
2026-06-04 14:27 · New test added5.19.7N/A5/2112,57333,743$0.0001.22s
Difference+0.1-0.1+100-33743$0.000+7ms

These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.

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
Anti-AI Tricks 6.6 10.0
Coding 4.7 6.7
Combined 3.0 10.0
Data parsing and extraction 6.5 10.0
Domain specific 3.0 10.0
General Intelligence 4.0 10.0
Instructions following 9.8 10.0
Puzzle Solving 4.0 10.0
Tool Calling 3.0 10.0
Trivia 0.0 0.0

Compared models