GPQA DiamondVerified
89.8%
GPQA Diamond (AA run)
Models / Meta
Muse Spark 1.1
Muse Spark · Released 2026-07-09
Meta's multimodal reasoning model for agentic tasks, coding, computer use, and long-running workflows, with a 1M-token managed context window.
Agentic model for parallel tool use, computer operation, multimodal work, and repository-scale coding through Meta AI or the Meta Model API.
Composite70
Context1M
Input / 1M$1.3
Output / 1M$4.3
Knowledge cutoffunpublished
Output speed102 t/s
Statussolid
Family profile
Best published score in each covered benchmark family.
76/100 avg
- Reasoning
- 90
- Coding
- 59
- Agentic
- 78
- Long context
- 78
4 tested benchmark families
Benchmark placements
Per-benchmark positions
Where Muse Spark 1.1 places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| SciCode | Coding | #7/ 97 | 59 | Artificial Analysis | 2026-09-28 |
| Humanity's Last Exam | Reasoning | #18/ 186 | 46 | Artificial Analysis | 2026-09-28 |
| Terminal-Bench | Agentic | #31/ 167 | 78 | Artificial Analysis | 2026-09-28 |
| GPQA Diamond | Reasoning | #47/ 184 | 90 | Artificial Analysis | 2026-09-28 |
| AA output speed | Performance | #59/ 195 | Artificial Analysis | 2026-10-12 | |
| AA-LCR | Long context | #67/ 184 | 78 | Artificial Analysis | 2026-09-28 |
Family context
Strongest rows in each family
The three highest-scoring models with pages in each capability family. Where Muse Spark 1.1 shows up, it's highlighted.
ReasoningMuse Spark 1.1 · 90
- 196
- 295
- 395
Math
- 152
- 252
- 350
CodingMuse Spark 1.1 · 59
- 174
- 273
- 370
AgenticMuse Spark 1.1 · 78
- 191
- 289
- 389
Long contextMuse Spark 1.1 · 78
- 189
- 286
- 385
Newest receipts
6 recentLast 120 days
Benchmark rows added to the public ledger for Muse Spark 1.1 in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA output speed | Performance | 102 t/s | Artificial Analysis | 10 |
| AA-LCR | Long context | 77.67% | Artificial Analysis | 24 |
| GPQA Diamond | Reasoning | 89.8% | Artificial Analysis | 24 |
| Humanity's Last Exam | Reasoning | 46.2% | Artificial Analysis | 24 |
| SciCode | Coding | 58.8% | Artificial Analysis | 24 |
| Terminal-Bench | Agentic | 77.9% | Artificial Analysis | 24 |
Family coverage
Best score per family
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Price vs. performance
Where Muse Spark 1.1 sits on the scatter
Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.
AnthropicOpenAIGoogleAlibabaMetaZhipuxAIDeepSeekMiniMaxXiaomiMoonshotOtherMeituanMistralNVIDIACohere
Full benchmark ledger
Every catalog benchmark for Muse Spark 1.1. Scores link to the original source; gaps mean no public row exists yet.
6 of 13 catalog benchmarks have a sourced row for Muse Spark 1.1.
Reasoning
Humanity's Last ExamVerified
46.2%
HLE (AA run)
Coding
SciCodeVerified
58.8%
SciCode (AA run)
Agentic
Terminal-BenchVerified
77.9%
Terminal-Bench v2.1 (AA run)
Long context
AA-LCRVerified
77.67%
AA-LCR (AA run)
Performance
AA output speedVerified
102 t/s
Median output tokens/s (1k prompt, default provider)
Sources
Where the numbers come from
- Meta Muse Spark 1.1 launch· checked 2026-07-19
- Muse Spark 1.1 evaluation report· checked 2026-07-19
- Artificial Analysis model record· checked 2026-07-19
Questions this model page answers
Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.
What is Muse Spark 1.1?
Muse Spark 1.1 is a Meta model: Meta's multimodal reasoning model for agentic tasks, coding, computer use, and long-running workflows, with a 1M-token managed context window.
What is Muse Spark 1.1 for?
Agentic model for parallel tool use, computer operation, multimodal work, and repository-scale coding through Meta AI or the Meta Model API.
What does Muse Spark 1.1 cost?
Muse Spark 1.1 lists $1.3 input and $4.3 output per 1M tokens. Pricing last checked 2026-07-19.
How large is the Muse Spark 1.1 context window?
Muse Spark 1.1 publishes a 1M token context window.
What is the VerdictPal status of Muse Spark 1.1?
Muse Spark 1.1 carries Solid status on the model atlas.
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