Meta benchmarks.
A lab-level profile for Meta, covering tracked models, category leaders, open/proprietary mix, speed, value, source coverage, and portfolio depth.
Lab rank
#1
By available Arena average
Models tracked
7
0 open-weight models
Portfolio coverage
46%
Average matched benchmark signals
Fastest model
0.44s
Muse Spark Open
Lab profile
Portfolio shape, leaders, and model coverage.
The lab page now starts with the portfolio read, then drills into category leaders, value rankings, and model-level coverage rather than repeating source panels.
Portfolio read
Meta has 7 tracked benchmark profiles.
The portfolio combines 7 proprietary models and 0 open-weight models. Its average available Arena rank is 20.2, with a best category rank of #2. Average profile coverage is 46%, so model-level gaps remain visible in the cards below.
Best Arena model
Muse Wonder
Best category rank #2
Highest coverage
Muse Spark 1.3
67% matched signals
Fastest response
Muse Spark Open
0.44s first token
Category leaders
Best model by benchmark lens.
Each card shows the highest-ranked model from this lab in a composite benchmark suite, with the global rank and index left intact.
Value
Quality, price, latency, and speed
Muse Spark 1.1
value index
Coding
Code Arena, SWE-bench, and output speed
Muse Wonder
coding index
Agents
Search, document, code, and latency
Muse Spark 1.3 Max
agent proxy
Reasoning
Text, document, vision, and mode signals
Muse Wonder
reasoning proxy
Context
Document, search, and text proxy
Muse Wonder
context proxy
Meta value ranking table
Models from this lab with both quality and commercial price matches.
Top 5 of 5
| Rank | Model | Index | Price | Latency | Speed | Quality | Sources |
|---|---|---|---|---|---|---|---|
| #10 | 74value index | $2.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 63quality signal | ArenaArtificial Analysis | |
| #11 | 73value index | $2.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 62quality signal | ArenaArtificial Analysis | |
| #13 | 71value index | $2.00blended / 1M tokens | 28.5stime to first token | 251 tok/soutput speed | 67quality signal | ArenaArtificial Analysis | |
| #30 | 65value index | $8.00blended / 1M tokens | 34.6stime to first token | 174 tok/soutput speed | 74quality signal | ArenaArtificial Analysis | |
| #62 | 55value index | $2.00blended / 1M tokens | 0.44stime to first token | 139 tok/soutput speed | 30quality signal | ArenaArtificial Analysis |
Model portfolio
Meta model coverage map.
Every tracked model keeps its best Arena rank, coverage score, commercial metrics, and suite placement visible in one scannable grid.
Muse Wonder
Muse Wonder (Max)
Coverage
56%
Best Arena
#2
Text
Value
#30
value index
Coding
#10
coding index
Latency
34.6s
174 tok/s
Muse Spark
Muse Spark
Coverage
33%
Best Arena
#9
Vision
Value
Not listed
No price match
Coding
Not listed
No coding index
Latency
Not listed
Not listed
Muse Spark 1.3
Muse Spark 1.3 (Max)
Coverage
67%
Best Arena
#10
Text
Value
#13
value index
Coding
#12
coding index
Latency
28.5s
251 tok/s
Muse Spark 1.2
Muse Spark 1.2 (xHigh)
Coverage
44%
Best Arena
#10
Vision
Value
#11
value index
Coding
#40
coding index
Latency
Not listed
Not listed
Muse Spark 1.1
Muse Spark 1.1
Coverage
56%
Best Arena
#12
Docs
Value
#10
value index
Coding
#34
coding index
Latency
Not listed
Not listed
Muse Spark 1.3 Max
muse-spark-1.3-max
Coverage
22%
Best Arena
#12
Vision
Value
Not listed
No price match
Coding
Not listed
No coding index
Latency
Not listed
Not listed
Muse Spark Open
Muse Spark Open (Max)
Coverage
44%
Best Arena
#55
Code
Value
#62
value index
Coding
#48
coding index
Latency
0.44s
139 tok/s
