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MetaLanguage modelActive

Muse Ember 1.0

Muse Ember 1.0 is among the strongest models: Rank 14 of 94 in the overall index. Through the API it is cheap.

IntelligenceRank 14 of 94 · middle group

110.4Overall indexhigher is better

Speednot measured

n/ano measurement yet

PriceRank 8 of 100

Input $0.10 · Output $0.50

$0.20per 1M tokenslower is better

ContextRank 12 of 110

1.05Mtokens at once≈ 1,570 A4 pages

Summary

It is cheap: $0.20 per 1M tokens (input and output blended); a typical model costs $1.50. Estimated without own results in: Mathematics.

Muse Ember 1.0 is a Meta model positioned for low API costs. It accepts text, images, video, audio, and PDF documents and produces text. Its context window is 1,048,576 tokens, with a documented maximum output of 524,288 tokens.

API rates start at $0.10 input and $0.50 output per million tokens. Above 200,000 input tokens, higher rates apply to the entire request. Cached tokens count toward that threshold. Reasoning is configurable and defaults to max. The reviewed Meta sources do not document downloadable weights.

Muse Ember 1.0 benchmarks

Overall index (Gradually Meta-Score v5)

20 of 94 models

4 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.

Claude Fable 5.2max130.9
Gemini 4 Carbonhigh127.0
Claude Opus 5.5max125.6
Claude Fable 5.1max124.1
Claude Sonnet 5.5max121.8
Gemini 4 Argonhigh121.4
GPT-6 Astramax120.2
Muse Wonder Fullmax118.1
GPT-6.1 Solmax118.0
Claude Opus 5max117.4
Muse Wondermax113.3
Claude Fable 5max112.8
Kimi K3.1 Promax112.6
Muse Ember 1.0max110.4
GPT-6 Solmax109.1
GPT-5.6 Solmax109.1
Gemini 3.7 Flashhigh107.9
Muse Spark 1.3max107.3
Gemini 3.8 Flashhigh106.8
DeepSeek V4.1 Flash 1017max106.7

Muse Ember 1.0 by reasoning effort

Points on the overall index scale. The value at max is Muse Ember 1.0's overall index; the other efforts derive from the same Artificial Analysis test series. Missing efforts are never estimated.

  • xhigh108.995% range 101.1 to 116.6
  • maxeffort of the overall index110.495% range 102.8 to 118.1
GPT-5.6 Sollow 94.7 · medium 99.9 · high 101.9 · xhigh 105.8 · max 109.1Muse Wonderhigh 110.7 · max 113.3

Source: Meta-Score v5; tiers: Artificial Analysis

Intelligence vs. price

most attractive area: stronger and cheaper than half of the models shownbest intelligence for the price

80100120140$0.20$1$5$20Claude Opus 4.8: 99.5, $10MiniMax M3.1 Flash: 100.0, $0.26MiMo V2.6 Pro: 100.4, $0.54GLM-5.3: 100.6, $2.15Qwen 3.8 Max 0902: 100.8, $2.48Mistral Large 4: 100.8, $1.05GPT-5.6 Terra: 100.8, $4.50Kimi K3: 101.1, $6GPT-5.5: 101.5, $11.25Grok 4.6: 102.1, $3Claude Haiku 5.5: 102.8, $0.20Grok 4.7: 103.3, $3GPT-6.1 Terra: 106.5, $2DeepSeek V4.1 Flash 1017: 106.7, $0.26Gemini 3.8 Flash: 106.8, $1.50Muse Spark 1.3: 107.3, $2GPT-5.6 Sol: 109.1, $8GPT-6 Sol: 109.1, $4Kimi K3.1 Pro: 112.6, $4Claude Fable 5: 112.8, $20Muse Wonder: 113.3, $8Claude Opus 5: 117.4, $10GPT-6.1 Sol: 118.0, $4GPT-6 Astra: 120.2, $20Gemini 4 Argon: 121.4, $4Claude Sonnet 5.5: 121.8, $4Claude Fable 5.1: 124.1, $20Claude Opus 5.5: 125.6, $8Claude Fable 5.2: 130.9, $16Muse Ember 1.0: 110.4, $0.20Muse Ember 1.0Claude Fable 5.2Claude Opus 5.5Price per 1M tokens, blended (log scale)Overall index
More models in the chart (27)
  • Claude Fable 5.1124.1 · $20
  • Claude Sonnet 5.5121.8 · $4
  • Gemini 4 Argon121.4 · $4
  • GPT-6 Astra120.2 · $20
  • GPT-6.1 Sol118.0 · $4
  • Claude Opus 5117.4 · $10
  • Muse Wonder113.3 · $8
  • Claude Fable 5112.8 · $20
  • Kimi K3.1 Pro112.6 · $4
  • GPT-6 Sol109.1 · $4
  • GPT-5.6 Sol109.1 · $8
  • Muse Spark 1.3107.3 · $2
  • Gemini 3.8 Flash106.8 · $1.50
  • DeepSeek V4.1 Flash 1017106.7 · $0.26
  • GPT-6.1 Terra106.5 · $2
  • Grok 4.7103.3 · $3
  • Claude Haiku 5.5102.8 · $0.20
  • Grok 4.6102.1 · $3
  • GPT-5.5101.5 · $11.25
  • Kimi K3101.1 · $6
  • GPT-5.6 Terra100.8 · $4.50
  • Mistral Large 4100.8 · $1.05
  • Qwen 3.8 Max 0902100.8 · $2.48
  • GLM-5.3100.6 · $2.15
  • MiMo V2.6 Pro100.4 · $0.54
  • MiniMax M3.1 Flash100.0 · $0.26
  • Claude Opus 4.899.5 · $10

Muse Ember 1.0 by task area

Points, 100 = reference group average · higher is better

LegalRank 6 of 81120.3
FinanceRank 11 of 113112.0
CodingRank 17 of 114111.0
AgentsRank 16 of 100110.5
ReasoningRank 18 of 76108.3
Generaltoo little data104.7
Knowledgetoo little data103.7

Light bar: too few results for a rank yet. No tests yet: Mathematics, Multimodal, Health.

Best LLM by task:CodingReasoningKnowledgeAI agentsGeneral tasksFinanceLegal

Show all 162 published benchmark results

Page 1 of 14

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

AutomationBench-AA: Overall (Show measurement, test conditions, and source)
Source value
66.70632837564682
Metric
Objectives completed without guardrail violations
Unit
%
Benchmark version
AA private 657-task split of AutomationBench v1.0.6
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/7a64ffc4-36c3-4369-981e-73abdd6ff5e2/muse-ember/muse-ember-xhigh. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Xhigh). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: xhigh. Score display: 66.7%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-automationbench-aa:AA private 657-task split of AutomationBench v1.0.6:v5.0.1:reasoning:effort=xhigh:suffix=Xhigh
Comparison methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: xhigh
Source Artificial Analysis
AutomationBench-AA: Overall (Show measurement, test conditions, and source)
Source value
68.07901586086508
Metric
Objectives completed without guardrail violations
Unit
%
Benchmark version
AA private 657-task split of AutomationBench v1.0.6
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/dbf63365-127f-41ee-9e51-81173adb3502/muse-ember/muse-ember. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Max). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: max. Score display: 68.1%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-automationbench-aa:AA private 657-task split of AutomationBench v1.0.6:v5.0.1:reasoning:effort=max:suffix=Max
Comparison methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: max
Source Artificial Analysis
CritPt v2 (Hard Subset): Overall (Show measurement, test conditions, and source)
Source value
38.5
Metric
pass@1 accuracy
Unit
%
Benchmark version
v2 hard subset, November 2026 grading
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/7a64ffc4-36c3-4369-981e-73abdd6ff5e2/muse-ember/muse-ember-xhigh. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Xhigh). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: xhigh. Score display: 38.5%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-critpt-v2-hard-subset:v2 hard subset, November 2026 grading:v5.0.1:reasoning:effort=xhigh:suffix=Xhigh
Comparison methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: xhigh
Context
This is the 40-question hard subset of CritPt v2, not the full 70-question CritPt v2 run.
Source Artificial Analysis
CritPt v2 (Hard Subset): Overall (Show measurement, test conditions, and source)
Source value
39
Metric
pass@1 accuracy
Unit
%
Benchmark version
v2 hard subset, November 2026 grading
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/dbf63365-127f-41ee-9e51-81173adb3502/muse-ember/muse-ember. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Max). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: max. Score display: 39.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-critpt-v2-hard-subset:v2 hard subset, November 2026 grading:v5.0.1:reasoning:effort=max:suffix=Max
Comparison methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: max
Context
This is the 40-question hard subset of CritPt v2, not the full 70-question CritPt v2 run.
Source Artificial Analysis
FrontierCode: Overall (Show measurement, test conditions, and source)
Source value
21.974898989899
Metric
Mean score over three attempts per task
Unit
%
Benchmark version
2.0
Category
coding
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/7a64ffc4-36c3-4369-981e-73abdd6ff5e2/muse-ember/muse-ember-xhigh. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Xhigh). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: xhigh. Score display: 22.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-frontiercode-2-0:2.0:v5.0.1:reasoning:effort=xhigh:suffix=Xhigh
Comparison methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: xhigh
Source Artificial Analysis
FrontierCode: Overall (Show measurement, test conditions, and source)
Source value
27.169621212121196
Metric
Mean score over three attempts per task
Unit
%
Benchmark version
2.0
Category
coding
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/dbf63365-127f-41ee-9e51-81173adb3502/muse-ember/muse-ember. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Max). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: max. Score display: 27.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-frontiercode-2-0:2.0:v5.0.1:reasoning:effort=max:suffix=Max
Comparison methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: max
Source Artificial Analysis
GDP.pdf: Overall (Show measurement, test conditions, and source)
Source value
22.400000000000002
Metric
All-pass rate
Unit
%
Benchmark version
unspecified
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/7a64ffc4-36c3-4369-981e-73abdd6ff5e2/muse-ember/muse-ember-xhigh. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Xhigh). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: xhigh. Score display: 22.4%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-gdp-pdf:unspecified:v5.0.1:reasoning:effort=xhigh:suffix=Xhigh
Comparison methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: xhigh
Source Artificial Analysis
GDP.pdf: Overall (Show measurement, test conditions, and source)
Source value
22.8
Metric
All-pass rate
Unit
%
Benchmark version
unspecified
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/dbf63365-127f-41ee-9e51-81173adb3502/muse-ember/muse-ember. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Max). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: max. Score display: 22.8%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-gdp-pdf:unspecified:v5.0.1:reasoning:effort=max:suffix=Max
Comparison methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: max
Source Artificial Analysis
HLE-Diamond: Overall (Show measurement, test conditions, and source)
Source value
23.599999999999998
Metric
pass@1 accuracy
Unit
%
Benchmark version
Diamond
Category
general
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/7a64ffc4-36c3-4369-981e-73abdd6ff5e2/muse-ember/muse-ember-xhigh. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Xhigh). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: xhigh. Score display: 23.6%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-hle-diamond:Diamond:v5.0.1:reasoning:effort=xhigh:suffix=Xhigh
Comparison methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: xhigh
Source Artificial Analysis
HLE-Diamond: Overall (Show measurement, test conditions, and source)
Source value
25.1
Metric
pass@1 accuracy
Unit
%
Benchmark version
Diamond
Category
general
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/dbf63365-127f-41ee-9e51-81173adb3502/muse-ember/muse-ember. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Max). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Reasoning effort: max. Score display: 25.1%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-hle-diamond:Diamond:v5.0.1:reasoning:effort=max:suffix=Max
Comparison methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled. Reasoning effort: max
Source Artificial Analysis
AA-Omniscience Accuracy: Overall (Show measurement, test conditions, and source)
Source value
21.366666666666667
Metric
AA-Omniscience Accuracy
Unit
%
Benchmark version
AA Omniscience diagnostic
Category
knowledge
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Source model ID: artificial-analysis/7a64ffc4-36c3-4369-981e-73abdd6ff5e2/muse-ember/muse-ember-xhigh. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Xhigh). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Reasoning effort: xhigh. Score display: 21.4%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-omniscience-accuracy:AA Omniscience diagnostic:standalone:reasoning:effort=xhigh:suffix=Xhigh
Comparison methodology
Exact AA configuration: Muse Ember (Xhigh) (release muse-ember, row muse-ember-xhigh, UUID 7a64ffc4-36c3-4369-981e-73abdd6ff5e2, reasoning=true, effort=xhigh, suffix=Xhigh). This source capture does not provide an average reasoning-token count. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Reasoning effort: xhigh
Context
This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.
Source Artificial Analysis
AA-Omniscience Accuracy: Overall (Show measurement, test conditions, and source)
Source value
21.066666666666666
Metric
AA-Omniscience Accuracy
Unit
%
Benchmark version
AA Omniscience diagnostic
Category
knowledge
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-09
Methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Source model ID: artificial-analysis/dbf63365-127f-41ee-9e51-81173adb3502/muse-ember/muse-ember. Source model name: Muse Ember. Provider reported by source: Meta. Model snapshot: Muse Ember (Max). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Reasoning effort: max. Score display: 21.1%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-09-7542f902e8e4. Source payload hash: 7542f902e8e4f947d83dc15004997367540a045beb71bef86f98e77adbc6a23a. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-09. Source cohort: artificial-analysis-omniscience-accuracy:AA Omniscience diagnostic:standalone:reasoning:effort=max:suffix=Max
Comparison methodology
Exact AA configuration: Muse Ember (Max) (release muse-ember, row muse-ember, UUID dbf63365-127f-41ee-9e51-81173adb3502, reasoning=true, effort=max, suffix=Max). This source capture does not provide an average reasoning-token count. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Reasoning effort: max
Context
This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.
Source Artificial Analysis

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Similar models

More models of the same kind as Muse Ember 1.0, chosen by model line, developer, size, price and release date.

More about Muse Ember 1.0

All specifications

Input and output

Input
Text, images, video, audio, and PDF documents.
Source: Input
Output
Text
Source: Output
Reasoning
Configurable from minimal to max. The default is max.
Source: Reasoning

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Weights
The reviewed Meta sources do not document downloadable weights. Parameter count and the weights license remain unknown.
Source: Weights
Shutdown
None announced
no source

API

API model ID
muse-ember-1.0
Source: API model ID
API interfaces
Responses, Chat Completions, and Messages. Also documented for Muse Code.
Source: API interfaces

Further details

Serving mode
Standard. Contributor mode is not offered for this model.
Source: Serving mode

Prices

1 offer, prices in US dollars per 1M tokens, blended from 3 parts input and 1 part output.

ProviderInputOutputCache readBlended
Metadirect$0.10$0.50$0.004$0.20
Metaabove 200,000 context tokensdirect$0.30$1.50$0.012$0.60

Cache prices come from the direct tariff; OpenRouter does not report them for the other providers. Direct price according to the developer, checked Nov 10, 2026. Open the LLM price index

More price tiers and rules
Long-context pricing
Base rates apply up to and including 200,000 input tokens. Cached tokens count toward input length. Above that threshold, the higher rates apply to the entire request.Source

Frequently asked questions about Muse Ember 1.0

How good is Muse Ember 1.0 in benchmarks?

Good: Rank 14 of 94 in the overall index.

Overall index (Gradually Meta-Score v5) from 16 benchmark results · data through Nov 10, 2026

IntelligenceOverall index in points, 100 = reference group average · higher is better
Muse Wonder113.3
Claude Fable 5112.8
Kimi K3.1 Pro112.6
Muse Ember 1.0Rank 14110.4
GPT-6 Sol109.1
GPT-5.6 Sol109.1
Gemini 3.7 Flash107.9

What is the Overall index (Gradually Meta-Score v5)?

A point value that combines many independent benchmarks into one number. 100 points is the average of a fixed group of 29 models, and a model 15 points ahead does better in roughly three of four benchmark comparisons. Muse Ember 1.0 scores 110.4 points, which is rank 14 of 94.

Own analysis by gradually.ai, method benchmark-meta-score-v5 · for Muse Ember 1.0 from 16 test series

How we calculate the overall index

How much does Muse Ember 1.0 cost?

Through the API $0.10 per 1M input tokens and $0.50 output. That is cheap.

PriceDollars per 1M tokens, input and output blended · lower is better
Muse Ember 1.0Rank 8 of 100$0.20
Kimi K3.1 Pro$4
GPT-6 Sol$4
GPT-5.6 Sol$8
Muse Wonder$8
Claude Opus 5$10
Claude Fable 5$20

How large is the context window of Muse Ember 1.0?

1.05 M tokens. That is how much text Muse Ember 1.0 reads at once, about 1,570 A4 pages.

Page count as a rule of thumb from Artificial Analysis

Context windowTokens the model reads at once · higher is better
GPT-6 Sol1.05M
GPT-5.6 Sol1.05M
Muse Ember 1.0Rank 12 of 1101.05M
Kimi K3.1 Pro1.05M
Muse Wonder1.05M
Gemini 3.7 Flash1.05M
Claude Fable 51M

Where can I use Muse Ember 1.0?

Through the API. Subscription access is not documented in the available plan data.

Through the API

$0.10 input, $0.50 output per 1M tokens.

Sources and data date

Show all 23 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

EvaluatorTest seriesComposite indicesRecorded active measurements
Artificial Analysis9022
Vals AI73137

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Price

Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.

Source: Pricing · Meta API pricing and rate limits (retrieved November 10, 2026) · Meta API pricing · Editorial description reviewed November 10, 2026
Input

Documented modalities. Retrieved November 10, 2026.

Source: Meta: Muse Ember API documentation · Meta: Muse Ember API documentation (retrieved November 10, 2026) · Meta: Muse Ember API documentation · Editorial description reviewed November 10, 2026
Output

Documented modalities. Retrieved November 10, 2026.

Source: Meta: Muse Ember API documentation · Meta: Muse Ember API documentation (retrieved November 10, 2026) · Meta: Muse Ember API documentation · Editorial description reviewed November 10, 2026
Additional sourceMeta Research: Muse Ember (retrieved November 10, 2026) · Meta Research: Muse Ember · Editorial description reviewed November 10, 2026
Additional sourceArtificial Analysis (retrieved November 9, 2026; November 10, 2026)
Additional sourceArtificial Analysis (retrieved November 9, 2026)123456789
Additional sourceVals AI (retrieved November 10, 2026)12345678910