Meta
Model Categories
Pricing Range — $/1M input tokens
Open Source Ratio
All Meta Models47 total
| #▲ | Model | Avg | aider edit | aider poly? | ANLI? | APEX-Agents? | ARC AI2? | ARC-AGI? | ARC-AGI-2? | aa agentic? | aa coding ? | aa quality | seal audio | seal audio | seal audio | Balrog? | BBH? | hf bbh | C-Eval | CadEval? | charxiv re? | charxiv re? | arena elo | arena elo | chess puzz? | CMMLU | CSQA2 | Cybench? | deepresear? | EnigmaEval | fiction li? | Fortress | frontierma? | frontierma? | GeoBench? | GPQA | GPQA diamond? | graphwalks? | GSM8K? | GSO-Bench? | HellaSwag? | HELM · GPQA | helm ifeva | helm mmlu | helm omni | helm wildb | HLE? | hle tools | seal human | seal human | IFEval | jp jcommon | JHumanEval | JMMLU | JNLI | JSQuAD | LAMBADA? | lech mazur? | livebench | livebench | livebench | livebench | livebench | livebench | livebench | livebench | jp overall | MASK | MATH level 5? | MATH Level 5 | MCP Atlas | MMLU? | MMLU-PRO | MMMLU | mmmlu ar | mmmlu bn | mmmlu zh | mmmlu fr | mmmlu de | mmmlu hi | mmmlu id | mmmlu it | mmmlu ja | mmmlu ko | mmmlu pt | mmmlu es | mmmlu sw | mmmlu yo | seal multi | MultiNRC | MUSR | OpenBookQA? | oc aime202 | oc gpqa di | oc hle | oc ifeval | oc livecod | oc mmlu pr | OSWorld? | otis mock ? | PIQA? | posttrainb | seal pro r | seal pro r | seal prope | seal remot | ScienceQA? | SciPredict | SimpleBench? | simpleqa v? | seal swe a | seal swe a | swe bench | swe bench | swe bench | seal swe b | seal swe b | swe bench ? | swe bench ? | terminal b? | the agent ? | TriviaQA? | TutorBench | USAMO | VideoMME? | VISTA | seal visua | VPCT? | WeirdML? | Winogrande? | $/1M in | Context | Released |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 75.9 | 59.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 56.6 | - | - | - | - | - | 1318.0 | - | - | - | - | - | - | - | - | - | - | - | 10.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 90.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 48.3 | - | - | 48.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 15.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.10 | 131K | Dec 241y ago | |
| 2 | 65.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 48.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 19.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 16.0 | 82.9 | - | 44.7 | 60.9 | 88.9 | - | - | - | - | - | - | - | - | - | - | 48.9 | - | - | 18.6 | - | - | 41.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 16.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Apr 242y ago | |
| 3 | 53.8 | 58.6 | - | - | - | - | - | - | - | - | - | - | - | - | 27.9 | - | 55.9 | - | - | - | - | - | 1292.8 | - | 64.4 | - | - | - | - | - | - | - | - | - | 14.2 | 25.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | 86.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 36.7 | 38.1 | - | 73.5 | 47.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 17.7 | - | - | - | - | - | - | - | - | 3.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 6.9 | - | - | - | - | - | - | - | 9.0 | - | $0.40 | 131K | Jul 241y ago | |
| 4 | 44.1 | - | - | - | - | 93.7 | - | - | - | - | - | - | - | - | - | 77.2 | 7.8 | - | - | - | - | - | - | - | - | - | 7.5 | - | - | - | - | - | - | - | 5.9 | 34.5 | - | - | - | 85.6 | - | - | - | - | - | - | - | - | - | 18.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 49.8 | 0.0 | - | 79.3 | 25.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 2.2 | 32.3 | - | - | - | - | - | - | - | 9.6 | 71.8 | - | - | - | - | - | - | - | 7.6 | - | - | - | - | - | - | - | - | - | - | - | 7.4 | 82.7 | - | - | - | - | - | - | 21.4 | 78.4 | N/A | - | Jul 241y ago | |
| 5 | 41.7 | - | - | 36.0 | - | 77.1 | - | - | - | - | - | - | - | - | - | - | 18.4 | - | - | - | - | - | 1222.2 | - | - | - | - | - | - | - | - | - | - | - | 2.1 | 1.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | 24.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 6.1 | 3.9 | - | 58.4 | 17.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 19.9 | 76.8 | - | - | - | - | - | - | - | 0.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 67.7 | - | - | - | - | - | - | - | 51.4 | $0.03 | 8K | Apr 242y ago | |
| 6 | 40.7 | - | - | - | - | 47.1 | - | - | - | - | - | - | - | - | - | 44.3 | - | - | - | - | - | - | - | - | - | 0.1 | - | - | - | - | - | - | - | - | - | 1.8 | - | 36.9 | - | 74.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 76.5 | - | - | - | - | - | - | - | - | - | - | - | 3.3 | - | - | 40.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 42.7 | - | - | - | - | - | - | - | - | 61.6 | - | - | - | - | - | 41.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 79.6 | - | - | - | - | - | - | - | 45.6 | N/A | - | Jan 242y ago | |
| 7 | 37.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | 27.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 52.0 | - | 21.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 39.4 | - | - | 73.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 2.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Jan 242y ago | |
| 8 | 35.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 24.1 | - | - | - | - | - | 1165.7 | - | - | - | - | - | - | - | - | - | - | - | 3.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 73.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 17.7 | - | - | 24.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.05 | 80K | Sep 241y ago | |
| 9 | 34.3 | 37.6 | - | - | - | - | - | - | - | - | - | - | - | - | 15.1 | - | 29.2 | - | - | - | - | - | 1211.0 | - | - | - | - | - | - | - | - | - | - | - | 9.5 | 1.3 | - | 82.4 | - | - | - | - | - | - | - | - | - | - | - | 50.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 22.9 | 15.5 | - | 41.5 | 30.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 8.5 | - | - | - | - | - | - | - | - | 2.4 | 62.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1.7 | - | $0.02 | 16K | Jul 241y ago | |
| 10 | 31.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 28.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 74.1 | 87.7 | - | 46.7 | 61.1 | 89.5 | - | - | - | - | - | - | - | - | - | - | 49.6 | - | - | 8.7 | - | - | 29.6 | - | 40.5 | 36.4 | 51.4 | 55.8 | 53.5 | 41.4 | 51.0 | 53.3 | 42.3 | 46.5 | 55.5 | 55.8 | 37.5 | 31.0 | - | - | 1.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Apr 242y ago | |
| 11 | 30.4 | - | - | - | - | 36.9 | - | - | - | - | - | - | - | - | - | 17.2 | 25.3 | 38.8 | - | - | - | - | 970.9 | - | 39.8 | - | - | - | - | - | - | - | - | - | 3.5 | - | - | 20.6 | - | 72.3 | - | - | - | - | - | - | - | - | - | 25.3 | - | - | - | - | - | 75.2 | - | - | - | - | - | - | - | - | - | - | - | - | 3.1 | - | 30.3 | 23.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 2.0 | 41.9 | - | - | - | - | - | - | - | - | 60.2 | - | - | - | - | - | 24.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 77.9 | - | - | - | - | - | - | - | 46.0 | N/A | - | Jan 242y ago | |
| 12 | 29.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1275.1 | - | 36.9 | - | 5.0 | - | - | - | - | - | - | - | - | 20.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 22.6 | - | - | 72.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 30.1 | - | - | - | - | - | - | - | 4.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 67.0 | $0.51 | 8K | Apr 242y ago | |
| 13 | 29.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | 23.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 33.3 | - | - | - | - | - | 29.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 41.6 | - | - | 81.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 5.0 | - | - | - | - | - | - | - | - | 3.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 14.4 | - | Free | 66K | Dec 241y ago | |
| 14 | 26.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 4.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 0.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 39.9 | 52.6 | - | 33.3 | 35.6 | 83.0 | - | - | - | - | - | - | - | - | - | - | 38.3 | - | - | 2.0 | - | - | 7.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Jul 232y ago | |
| 15 | 22.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 10.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 2.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 25.2 | 25.5 | - | 28.6 | 36.1 | 79.9 | - | - | - | - | - | - | - | - | - | - | 37.2 | - | - | 1.7 | - | - | 9.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Jul 232y ago | |
| 16 | 22.0 | - | 15.6 | - | - | - | 4.4 | 0.1 | 7.2 | 15.6 | 18.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 46.2 | - | 0.7 | - | 52.0 | - | 56.0 | - | - | - | - | - | - | - | - | - | 0.9 | - | - | - | - | - | - | - | - | - | - | 63.7 | - | - | - | - | - | - | - | - | - | - | 73.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 20.5 | - | - | - | - | - | - | - | - | 13.2 | - | - | - | - | - | - | - | - | - | 21.0 | - | - | - | - | - | - | - | - | - | 24.5 | - | $0.15 | 1.0M | Apr 251y ago | |
| 17 | 19.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 8.3 | - | - | - | - | - | 1110.2 | - | - | - | - | - | - | - | - | - | - | - | 2.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 58.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 8.2 | - | - | 8.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.03 | 60K | Sep 241y ago | |
| 18 | 15.3 | - | - | - | - | - | 0.5 | 0.1 | 5.2 | 6.7 | 13.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 36.0 | - | 0.1 | - | - | - | 35.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 62.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 7.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 9.1 | - | - | - | - | - | - | - | - | - | - | - | $0.08 | 328K | Apr 251y ago | |
| 19 | 14.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 14.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 2.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 13.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1.9 | - | - | 16.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Free | 131K | Sep 241y ago |
About Meta
Quick answers · sourced from our data
How many models does Meta have?
BenchGecko tracks 47 models from Meta, of which 44 (94%) are open source. Every entry is updated daily from live provider feeds.
What is the best model from Meta?
Llama 3.3 70B Instruct is currently the highest scoring Meta model we track, with an average benchmark score of 46.9. 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 29.5 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?
44 of 47 Meta models are open source (94%). The rest are proprietary · closed weights served via API.