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Benchmark suiteUpdated May 27, 2026

Meta benchmarks.

A lab-level profile for Meta, covering tracked models, category leaders, open/proprietary mix, speed, value, source coverage, and portfolio depth.

All labs

Lab rank

#12

By available Arena average

Models tracked

3

0 open-weight models

Portfolio coverage

18%

Average matched benchmark signals

Fastest model

Not listed

OverviewFull public trackerValuePerformance for the moneyCodingCode and SWE-bench signalsAgentsTool and workflow readinessReasoningKnowledge and reasoning signalsContextDocument and retrieval signalsLabsProvider comparisons

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 3 tracked benchmark profiles.

Lab #12

The portfolio combines 3 proprietary models and 0 open-weight models. Its average available Arena rank is 37, with a best category rank of #4. Average profile coverage is 18%, so model-level gaps remain visible in the cards below.

Best Arena model

Muse Spark

Best category rank #4

Highest coverage

Muse Spark

33% matched signals

Fastest response

Not listed

No latency match

Access mix

Open versus proprietary

Proprietary

3 / 100%

Open weights

0 / 0%

Value leader

Not listed

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

Not listed

Not enough matched rows for this lab in this suite.

Coding

Code Arena, SWE-bench, and output speed

Muse Spark

#388

coding index

Agents

Search, document, code, and latency

Muse Spark

#3288

agent proxy

Reasoning

Text, document, vision, and mode signals

Muse Spark

#589

reasoning proxy

Context

Document, search, and text proxy

Muse Spark

#986

context proxy

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 Spark

muse-spark

Proprietary

Coverage

33%

Best Arena

#4

Vision

Value

Not listed

No price match

Coding

#3

coding index

Latency

Not listed

Not listed

Not listed

Llama 4 Maverick 17b 128e Instruct

llama-4-maverick-17b-128e-instruct

Proprietary

Coverage

11%

Best Arena

#80

Vision

Value

Not listed

No price match

Coding

Not listed

No coding index

Latency

Not listed

Not listed

Not listed

Llama 4 Scout 17b 16e Instruct

llama-4-scout-17b-16e-instruct

Proprietary

Coverage

11%

Best Arena

#87

Vision

Value

Not listed

No price match

Coding

Not listed

No coding index

Latency

Not listed

Not listed

Not listed