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#168

Muse Glimmer 30B

Meta Release: 2026-08-11 Tested on: 2026-10-01 03:11 meta/muse-glimmer-30b::medium
30BDenseOpen source
(xhigh) (high) (medium) (low)

Summary

Muse Glimmer 30B scores 7.7 on AI BENCHY and ranks #168. It has 10.0 reliability, a 65.2% pass rate, $0.288 total cost, and 33.97s average response time.

Model facts

Researched on 2026-08-12

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

Score

7.7

Consistency

8.0

Total Cost (Current Price)

$0.288 ↓ -18.5%

Tested at: $0.353

Total Output Tokens

171,888

Total Input Tokens

269,497

Input Price

$0.300 / 1M

Output Price

$1.200 / 1M

Cache Read Price

$0.040 / 1M

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 11

Attempt pass rate: 65.2%

Flaky tests

6

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

Response Time (avg)

33.97s

Response Time (max): 181.08s

Response Time (total): 781.36s

Hamster playing table tennis

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

#168 Muse Glimmer 30B

medium
Cost
$0.003
Time
31.9s
Tokens
1,845 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-10-01 03:11 Re-test 7.7 10.0 $0.288 ↓ Current run
2026-08-11 10:06 Initial run 7.2 10.0 $0.279 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 Cache Read Price Cache Write Price
2026-08-14 12:51 $0.350 / 1M $1.500 / 1M N/A N/A
2026-10-06 14:54 $0.300 / 1M $1.200 / 1M $0.040 / 1M N/A

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
Agentic 10.0 10.0
Anti-AI Tricks 9.2 8.4
Coding 8.4 7.8
Combined 6.5 10.0
Data parsing and extraction 7.3 5.9
Domain specific 2.9 7.2
General Intelligence 4.7 9.8
Instructions following 9.8 10.0
Puzzle Solving 6.0 4.6
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models