AI BENCHY
Advertise here
#88

Ling-2.6-flash

Inclusionai Release: 2026-04-21 Tested on: 2026-04-22 12:55 inclusionai/ling-2.6-flash::medium
104B total · 7.4B activeMoEOpen source
(medium) (medium) (none)

Summary

Ling-2.6-flash scores 5.2 on AI BENCHY and ranks #88. It has N/A reliability, a 29.6% pass rate, $0.000 total cost, and 1.27s average response time.

What makes Ling-2.6-flash unique: 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Archived model: this model is no longer updated or tested on new tests.

Identity note

Elephant Alpha was the stealth version of Ling-2.6-flash.

This page currently reflects the benchmark data collected under Elephant Alpha.

Model facts

Researched on 2026-08-12

Reported
Parameters
104B total · 7.4B active
Architecture
MoE
Availability
Open source
License
MIT

Score

5.2

Consistency

9.6

Reliability

N/A

Total Output Tokens

2,596

Total Input Tokens

0

Input Price

$0.000 / 1M

Output Price

$0.000 / 1M

Tests Correct

Wrong Tests: 13

Attempt pass rate: 29.6%

Flaky tests

1

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

Response Time (avg)

1.27s

Response Time (max): 3.70s

Response Time (total): 22.82s

Hamster playing table tennis

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

#88 Elephant Alpha

medium
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 4.3 N/A $0.000 Compare
2026-05-22 00:40 Suite changed 5.4 N/A $0.000 Compare
2026-04-22 12:55 First recorded run 5.2 N/A $0.000 Current run

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

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 6.6 10.0
Coding 5.1 3.3
Combined 3.0 10.0
Data parsing and extraction 6.5 10.0
Domain specific 3.0 10.0
General Intelligence 4.3 10.0
Instructions following 9.8 10.0
Puzzle Solving 3.7 10.0
Tool Calling 3.0 10.0

Compared models