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#108

Hunter Alpha

OpenRouter Release: 2026-03-11 Tested on: 2026-05-06 14:09 openrouter/hunter-alpha::none
(medium) (none)

Summary

Hunter Alpha scores 5.7 on AI BENCHY and ranks #108. It has N/A reliability, a 46.3% pass rate, $0.000 total cost, and 4.58s average response time.

What makes Hunter Alpha unique: It stands out most in General Intelligence, where it ranks #3, while Coding is its weakest area at #13. Its total benchmark cost is unusually low for its score range.

Archived model: this model is no longer updated or tested on new tests.

Identity note

Hunter Alpha was the stealth version of Xiaomi: MiMo-V2-Pro.

Score

5.7

Consistency

8.2

Reliability

N/A

Total Output Tokens

2,278

Total Input Tokens

0

Input Price

$0.000 / 1M

Output Price

$0.000 / 1M

Tests Correct

Wrong Tests: 12

Attempt pass rate: 46.3%

Flaky tests

4

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

Response Time (avg)

4.58s

Response Time (max): 15.17s

Response Time (total): 77.92s

Generation showcase

Hamster playing table tennis

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

#108 Hunter Alpha

none
Hunter Alpha was a stealth model revealed on March 18th as an early testing version of MiMo-V2-Pro. Find it here: https://openrouter.ai/xiaomi/mimo-v2-pro
Cost
$0.000
Time
0.0s
Tokens
0 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-05-06 14:09 Re-test 5.7 N/A $0.000 Compare
2026-05-06 14:09 Re-test 5.7 N/A $0.000 Compare
2026-05-06 14:09 Re-test 5.7 N/A $0.000 Compare
2026-05-06 14:09 Suite changed 5.7 N/A $0.000 Current run
2026-04-11 00:35 First recorded run 5.7 N/A $0.000 Compare

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

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 3.5 8.0
Coding 3.0 10.0
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 10.0
General Intelligence 6.1 3.1
Instructions following 6.4 10.0
Puzzle Solving 5.8 4.4
Tool Calling 10.0 10.0

Compared models