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#39

Muse Glimmer 30B

Meta Release: 2026-08-11 Tested on: 2026-08-11 10:32 meta/muse-glimmer-30b::xhigh
30BDenseOpen source

Summary

Muse Glimmer 30B scores 8.2 on AI BENCHY and ranks #39. It has 9.8 reliability, a 75.8% pass rate, $0.632 total cost, and 94.47s average response time.

Model facts

Researched on 2026-08-12

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

Score

8.2

Consistency

8.3

Total Output Tokens

455,790

Total Input Tokens

110,918

Input Price

$0.350 / 1M

Output Price

$1.500 / 1M

Tests Correct

Wrong Tests: 8

Attempt pass rate: 75.8%

Flaky tests

5

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

Response Time (avg)

94.47s

Response Time (max): 576.79s

Response Time (total): 2078.31s

Hamster playing table tennis

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

#39 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 $0.635 Compare
2026-08-11 10:32 Initial run 8.2 9.8 $0.632 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-08-11 10:32 · Initial run66/66 attempts8.28.39.814/225455,790110,918$0.63294.47s
2026-08-14 03:34 · Re-test66/66 attempts8.18.69.913/224446,844110,930$0.63595.55s
Difference—+0.1-0.3-0.1+1+1+8946-12-$0.004-1082ms

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

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price
2026-08-11 10:32 $0.350 / 1M $1.500 / 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 5.3 7.2
General Intelligence 5.5 10.0
Instructions following 8.4 6.9
Puzzle Solving 7.6 7.2
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models