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#36

Muse Ember

Meta Release: 2026-11-09 Tested on: 2026-11-09 21:37 meta/muse-ember::high
~150B total (~10B active)MoEClosedEstimated

Muse Ember scores above Muse Wonder for under 5% of the cost →

Summary

Muse Ember scores 9.2 on AI BENCHY and ranks #36. It has 10.0 reliability, a 79.7% pass rate, $0.156 total cost, and 11.67s average response time.

What makes Muse Ember unique: Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-11-09

Estimated
Parameters
~150B total (~10B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Meta lists Muse Ember (muse-ember-1.0) as the smallest, efficient execution model among API-hosted Muse models, with no public weights and no disclosed size or architecture. The 150B total / 10B active MoE values are a low-confidence small-tier catalog estimate, scaled down from the Muse Spark family estimate and consistent with its $0.10/$0.50 price.

Score

9.2

Consistency

9.6

Total Output Tokens

254,892

Total Input Tokens

282,192

Input Price

$0.100 / 1M

Output Price

$0.500 / 1M

Cache Read Price

$0.004 / 1M

Cache Write Price

$0.125 / 1M

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: 5

Attempt pass rate: 79.7%

Flaky tests

1

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

Response Time (avg)

11.67s

Response Time (max): 53.01s

Response Time (total): 268.45s

Hamster playing table tennis

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

#36 Muse Ember

high
Cost
$0.005
Time
18.3s
Tokens
9,965 tok

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 10.0 10.0
Coding 10.0 10.0
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 10.0
General Intelligence 10.0 10.0
Instructions following 9.8 10.0
Puzzle Solving 5.4 7.2
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models