Live54 models · 47 open source · avg 31.2
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Meta

🇺🇸United StatesWebsite
Top Model
Muse Spark Open
avg score
54
Total Models
tracked on BenchGecko
47
Open Source
87% of models
$0.02
Cheapest Model
per 1M input tokens
31.2
Avg Benchmark
across 24 scored models

Model Categories

LLM46Multimodal8

Pricing Range · $/1M input tokens

$0.02
$0.03
$0.05
$0.10
$0.10
$0.14
$0.18
$0.30
$0.34
$0.35
$0.48
$0.51
$0.71
$0.72
$1.25
$4.00
Low: $0.02Median: $0.34High: $4.00

Open Source Ratio

87%
47 open source7 proprietary
#▲ModelAvgANLI?APEX-Agents?ARC AI2?ARC-AGI?ARC-AGI-2?aider poly?aider editaa critptaa gdpvalaa gpqa diaa humanitaa ifbenchaa long coaa mmmu praa scicodeaa terminaaa tau2 beaa agentic?aa coding ?aa qualityseal audioseal audioseal audioBBH?hf bbhBalrog?C-EvalCMMLUCSQA2CadEval?charxiv re?charxiv re?arena elo arena elo chess puzz?Cl Benchcl bench lCybench?deepresear?DeepsweDtbenchEbr BenchEnigmaEvalExploitbenchfiction li?Fortressfrontierma?frontierma?frontiermafrontiermaFrontiercodeFrontierswefurniture GPQAGPQA diamond?GSM8K?GSO-Bench?GdpvalGeoBench?graphwalks?HELM · GPQAhelm ifevahelm mmlu helm omni helm wildbHLE?hle toolsHellaSwag?seal humanseal humanIFEvaljp jcommonJHumanEvalJMMLUJNLIJSQuADLAMBADA?jp overalllech mazur?livebench livebench livebench livebench livebench livebench livebench livebench LmcaMASKMATH Level 5MATH level 5?MCP AtlasMMLU?MMLU-PROMMMLUmmmlu armmmlu bnmmmlu zhmmmlu frmmmlu demmmlu himmmlu idmmmlu itmmmlu jammmlu kommmlu ptmmmlu esmmmlu swmmmlu yoMUSRmetr time Mirrorcodeseal multiMultiNRCmystery gaOSWorld?otis mock ?OpenBookQA?oc aime202oc gpqa dioc hleoc ifevaloc livecodoc mmlu prOsworld 2 0PIQA?posttrainbseal pro rseal pro rProofbenchseal properemote labseal remotseal swe aseal swe aseal swe bseal swe bswe bench ?swe bench ?swe bench swe bench swe bench SciPredictScienceQA?SimpleBench?simpleqa v?SpireClimbsurface evterminal b?the agent ?TriviaQA?TutorBenchUSAMOVISTAVPCT?VideoMME?seal visuaWeirdML?WeirdML v3Winogrande?$/1M inContextReleased
1Meta logoMuse Spark🇺🇸 Meta70.9-----------------28.758.643.1-------------1489.3------------68.424.3------90.0----------37.6--------------------------------------------------88.9------------17.0---------------66.3--------------n/a-Apr 267mo ago
2Meta logoMuse Spark Open🇺🇸 Meta67.6-33.4-89.057.5-------------------------------------------31.773.5----88.3-------------------------------------------------------------98.0----------------------------56.6--------------$1.251.0MOct 2627d ago
3Meta logoMeta Llama 3 8B🇺🇸 MetaOpen64.0------------------------48.7----------------------------19.7----------------16.082.9-44.760.988.9-48.9-----------18.6---41.2---------------16.0--------------------------------------------------n/a-Apr 242y ago
4Meta logoLlama 3.1 70B Instruct🇺🇸 MetaOpen49.7------58.6-----------------55.927.9-64.4-----1293.3------33.3------------14.226.7---------------86.7----------------17.5-38.136.7-73.547.9---------------17.7------3.5--------------------------------6.9-------9.0--$0.72131KJul 242y ago
5Meta logoLlama 3.3 70B Instruct🇺🇸 MetaOpen47.9------59.4-----------------56.623.0-------1317.8------32.5---33.3--------10.531.2---------------90.0----------------20.6-48.341.6-81.748.1---------------15.6------5.0---------------------------3.9------------14.4--$0.71131KDec 241y ago
6Meta logoLlama 3.1 405B🇺🇸 MetaOpen43.8--93.7--------------------77.27.8------------7.5--35.6------------5.936.0------------85.6--18.1------------------0.049.8-79.325.7---------------2.2------9.632.3-------71.8------------------7.6----7.482.7------21.4-78.4n/a-Jul 242y ago
7Meta logoLlama 3 8B Instruct🇺🇸 MetaOpen41.836.0-77.1---------------------18.4--------1223.6-------------------2.11.4---------------24.0------------------3.96.1-58.417.8---------------19.9------0.776.8--------------------------------67.7--------51.4$0.148KApr 242y ago
8Meta logoLlama 3-70B🇺🇸 MetaOpen41.636.0-77.1---------------------26.7---------0.0--5.0--23.6------------8.121.6---------------33.2------------------5.722.6-72.424.0---------------7.1------4.276.8--------------------------------67.7--------67.0n/a-Jan 242y ago
9Meta logoLlama 2-13B🇺🇸 MetaOpen36.4--47.1--------------------44.3----0.1-----0.0-----3.7-------------1.836.9-----------74.3--------76.5-------------3.3-40.8-----------------------0.042.7-------61.6-----------------41.0------79.6--------45.6n/a-Jan 242y ago
10Meta logoLlama 3.2 90B🇺🇸 MetaOpen36.2-------------------------27.3----------------------------22.3---52.0-------------------------------39.4-73.7-----------------------2.5-------------------------------------------n/a-Jan 242y ago
11Meta logoLlama 3.2 3B Instruct🇺🇸 MetaOpen35.4------------------------24.1--------1166.7-------------------3.8----------------73.9------------------17.7---24.4---------------1.4--------------------------------------------------$0.05131KSep 242y ago
12Meta logoLLaMA-13B🇺🇸 MetaOpen33.4--36.9--------------------17.225.3-38.839.8-----975.1-------------------3.5-20.6-----------72.3--25.3-----75.2------------3.1--30.323.1---------------2.0-------41.9-------60.2-----------------24.4------77.9--------46.0n/a-Jan 242y ago
13Meta logoMeta Llama 3 8B Instruct🇺🇸 MetaOpen30.7------------------------28.2----------------------------1.2----------------74.187.7-46.761.189.5-49.6-----------8.7---29.6-40.536.451.455.853.541.451.053.342.346.555.555.837.531.01.6--------------------------------------------------n/a-Apr 242y ago
14Meta logoLlama 3.1 8B Instruct🇺🇸 MetaOpen30.7------37.6-----------------29.215.1-------1211.20.0-----18.2------------9.52.782.4--------------50.6----------------6.3-15.522.9-41.530.9---------------8.5------1.6--------62.4-------------------------------1.7--$0.02131KJul 242y ago
15Meta logoLlama 3 70B Instruct🇺🇸 MetaOpen30.4---------------------------36.9-----1276.5---5.0----------------20.8-----------------------------------22.6-72.4-----------------------4.230.1-----------------------------------------67.0$0.518KApr 242y ago
16Meta logoopen_llama_7b🇺🇸 MetaOpen30.0--18.3----------------------------------------------------------------62.4------------------------6.5------------------------18.7-------52.0---------------------------------34.0n/a-Jan 242y ago
17Meta logoLlama 3.3 70B Instruct (free)🇺🇸 MetaOpen28.7-------------------------23.0------------------33.3---------29.9-----------------------------------41.6-81.7-----------------------5.0---------------------------3.9------------14.4--Free131KDec 241y ago
18Meta logoLlama 2 7b Chat Hf🇺🇸 MetaOpen25.4------------------------4.5----------------------------0.5----------------39.952.6-33.335.683.0-38.3-----------2.0---7.6---------------3.3--------------------------------------------------n/a-Jul 233y ago
19Meta logoLlama 4 Maverick🇺🇸 MetaOpen21.9---4.40.115.6-0.00.067.14.943.050.062.131.76.817.81.316.39.3--------------------36.5---46.2-1.2-------56.0---52.0------0.9------------62.0--------18.7--73.0-------------------------20.5--------------------21.0------13.2------------24.5--$0.35524KApr 251y ago
20Meta logoLlama 2 7b Hf🇺🇸 MetaOpen21.5------------------------10.3----------------------------2.2----------------25.225.5-28.636.179.9-37.2-----------1.7---9.6---------------3.8--------------------------------------------------n/a-Jul 233y ago
21Meta logoLlama 4 Scout🇺🇸 MetaOpen16.3---0.50.1--0.00.058.73.839.527.752.921.31.515.51.18.26.5--------------------29.8---36.0-0.0-------35.8--------------------------------14.1--62.3-------------------------7.7--------------------9.1----------------------$0.101.3MApr 251y ago
22Meta logoLlama 3.2 3B Instruct (free)🇺🇸 MetaOpen14.2------------------------14.2----------------------------2.4----------------13.4------------------1.9---16.5---------------3.8--------------------------------------------------Free131KSep 242y ago
23Meta logoLlama 3.2 1B Instruct🇺🇸 MetaOpen11.7------------------------8.36.6-------1111.10.0------------------2.40.0---------------58.1------------------8.2---8.2---------------1.9------0.5-------------------------------------------$0.0360KSep 242y ago
90+ Gold 80-89 70-79 60-69 <60Scores in % unless noted. Avg = unweighted mean across tested benchmarks.

Quick answers · sourced from our data

How many models does Meta have?

BenchGecko tracks 54 models from Meta, of which 47 (87%) are open source. Every entry is updated daily from live provider feeds.

What is the best model from Meta?

Muse Spark Open is currently the highest scoring Meta model we track, with an average benchmark score of 66.0. Scores are computed across every public benchmark we have data for.

What is the cheapest Meta model?

The cheapest Meta model on BenchGecko starts at $0.02 per 1M input tokens. Pricing is pulled from OpenRouter and cross-checked against official provider rate cards.

How does Meta compare on benchmarks?

Meta models average 31.2 across the benchmarks we track · see the All Providers page for the full ranking by model count, open source ratio, and average score.

Where is Meta based?

Meta is headquartered in United States. BenchGecko groups providers by region to make it easy to compare US, EU, China, and Rest of World markets.

Is Meta open source?

47 of 54 Meta models are open source (87%). The rest are proprietary · closed weights served via API.