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#80

Muse Glimmer 30B

Meta Release: 2026-08-11 Tested on: 2026-08-14 03:34 meta/muse-glimmer-30b::xhigh
30BDenseOpen source

Summary

Muse Glimmer 30B scores 8.1 on AI BENCHY and ranks #80. It has 9.9 reliability, a 69.7% pass rate, $0.510 total cost, and 95.55s average response time.

What makes Muse Glimmer 30B unique: It stands out most in Coding, where it ranks #1, while Combined is its weakest area at #16.

Model facts

Researched on 2026-08-12

Reported
Parameters
30B
Architecture
Dense
Availability
Open source
License
Apache-2.0

Score

8.1

Consistency

8.6

Total Cost (Current Price)

$0.510 ↓ -19.7%

Tested at: $0.635

Total Output Tokens

446,844

Total Input Tokens

110,930

Input Price

$0.300 / 1M

Output Price

$1.200 / 1M

Tests Correct

Wrong Tests: 9

Attempt pass rate: 69.7%

Flaky tests

4

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

Response Time (avg)

95.55s

Response Time (max): 576.79s

Response Time (total): 2102.12s

Hamster playing table tennis

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

#80 Muse Glimmer 30B

xhigh
Cost
$0.007
Time
94.6s
Tokens
4,318 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 03:34 Re-test 8.1 9.9 $0.510 ↓ Current run
2026-08-11 10:32 Initial run 8.2 9.8 $0.632 Compare

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

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price
2026-08-14 12:51 $0.350 / 1M $1.500 / 1M
2026-09-21 19:36 $0.300 / 1M $1.200 / 1M

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 10.0 10.0
Coding 10.0 10.0
Combined 6.0 2.7
Data parsing and extraction 10.0 10.0
Domain specific 2.9 7.2
General Intelligence 5.5 10.0
Instructions following 8.4 6.9
Puzzle Solving 7.8 9.3
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models