Provider ranking # Best Meta Models in October 2026 > Best Meta Models: As of October 2026, Muse Spark 1.3 leads the Noometry Index with a score of 54.8, ahead of Muse Spark at 50.6. 22 models ranked with sources. - Canonical page: https://noometry.com/best/meta-models - Last updated: 2026-10-10 - Title: Best Meta Models (October 2026) | Noometry As of October 2026, Muse Spark 1.3 leads the Noometry Index with a score of 54.8, ahead of Muse Spark at 50.6. Last verified October 10, 2026 Every ranked Meta model, from the current flagship down. Best Meta Models: top 10 1. Muse Spark 1.3 54.8 2. Muse Spark 50.6 3. Muse Spark 1.2 50.3 4. Muse Spark 1.1 49.9 5. Muse Glimmer 41.7 6. Codellama 70b Instruct 33.7 7. Llama 4 Maverick 30.9 8. Codellama 34b Instruct 30.8 9. Llama 3.1-405B 30.7 10. Llama-3.3-70B-Instruct 30.6 11. 2030405060 ## Full ranking 22 models Best Meta Models | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | ![](/logos/meta.svg) Meta [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | [Meta](https://noometry.com/providers/meta) | Proprietary | 1.05M | 54.8 | $1.25 | $4.25 | 27.4 | — | | 2 | ![](/logos/meta.svg) Meta [Muse Spark](https://noometry.com/models/muse-spark) | [Meta](https://noometry.com/providers/meta) | Proprietary | — | 50.6 | — | — | — | — | | 3 | ![](/logos/meta.svg) Meta [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | [Meta](https://noometry.com/providers/meta) | Proprietary | 1.05M | 50.3 | $1.25 | $4.25 | 25.2 | — | | 4 | ![](/logos/meta.svg) Meta [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | [Meta](https://noometry.com/providers/meta) | Proprietary | 1.05M | 49.9 | $1.25 | $4.25 | 25 | — | | 5 | ![](/logos/meta.svg) Meta [Muse Glimmer](https://noometry.com/models/muse-glimmer) | [Meta](https://noometry.com/providers/meta) | Open | — | 41.7 | — | — | — | — | | 6 | ![](/logos/meta.svg) Meta [Codellama 70b Instruct](https://noometry.com/models/codellama-70b-instruct) | [Meta](https://noometry.com/providers/meta) | Open | — | 33.7 | — | — | — | — | | 7 | ![](/logos/meta.svg) Meta [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 30.9 | $0.19 | $0.65 | 102 | 456 | | 8 | ![](/logos/meta.svg) Meta [Codellama 34b Instruct](https://noometry.com/models/codellama-34b-instruct) | [Meta](https://noometry.com/providers/meta) | Open | — | 30.8 | — | — | — | — | | 9 | ![](/logos/meta.svg) Meta [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) | [Meta](https://noometry.com/providers/meta) | Open | — | 30.7 | — | — | — | 78 | | 10 | ![](/logos/meta.svg) Meta [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 30.6 | $0.10 | $0.32 | 197 | — | | 11 | ![](/logos/meta.svg) Meta [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 29.6 | $0.40 | $0.40 | 74.1 | — | | 12 | ![](/logos/meta.svg) Meta [Llama 2-13B](https://noometry.com/models/llama-2-13b) | [Meta](https://noometry.com/providers/meta) | Open | — | 29.6 | — | — | — | — | | 13 | ![](/logos/meta.svg) Meta [Llama 2-7B](https://noometry.com/models/llama-2-7b) | [Meta](https://noometry.com/providers/meta) | Open | — | 29.1 | — | — | — | — | | 14 | ![](/logos/meta.svg) Meta [Llama 3.2 3B](https://noometry.com/models/llama-3-2-3b) | [Meta](https://noometry.com/providers/meta) | Open | 131K | 28.9 | $0.05 | $0.33 | 241 | — | | 15 | ![](/logos/meta.svg) Meta [Llama 3-70B](https://noometry.com/models/llama-3-70b) | [Meta](https://noometry.com/providers/meta) | Open | — | 28.8 | — | — | — | 104 | | 16 | ![](/logos/meta.svg) Meta [Llama 4 Scout](https://noometry.com/models/llama-4-scout) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 27.7 | $0.10 | $0.30 | 184 | 272 | | 17 | ![](/logos/meta.svg) Meta [Llama 3.2 90B](https://noometry.com/models/llama-3-2-90b) | [Meta](https://noometry.com/providers/meta) | Open | — | 27.5 | — | — | — | — | | 18 | ![](/logos/meta.svg) Meta [Llama 3-8B](https://noometry.com/models/llama-3-8b) | [Meta](https://noometry.com/providers/meta) | Open | — | 25.5 | — | — | — | — | | 19 | ![](/logos/meta.svg) Meta [Llama 13b](https://noometry.com/models/llama-13b) | [Meta](https://noometry.com/providers/meta) | Open | — | 24.4 | — | — | — | — | | 20 | ![](/logos/meta.svg) Meta [Llama 2-70B](https://noometry.com/models/llama-2-70b) | [Meta](https://noometry.com/providers/meta) | Open | — | 24.4 | — | — | — | — | | 21 | ![](/logos/meta.svg) Meta [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 23.0 | $0.05 | $0.08 | 400 | — | | 22 | ![](/logos/meta.svg) Meta [Llama 3.2 1B](https://noometry.com/models/llama-3-2-1b) | [Meta](https://noometry.com/providers/meta) | Open | 60K | 20.1 | $0.027 | $0.20 | 286 | — | Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## Compare the leaders - [Muse Spark 1.3 vs Muse Spark](https://noometry.com/compare/muse-spark-vs-muse-spark-1-3) - [Muse Spark 1.3 vs Muse Spark 1.2](https://noometry.com/compare/muse-spark-1-2-vs-muse-spark-1-3) - [Muse Spark 1.3 vs Muse Spark 1.1](https://noometry.com/compare/muse-spark-1-1-vs-muse-spark-1-3) - [Muse Spark vs Muse Spark 1.2](https://noometry.com/compare/muse-spark-vs-muse-spark-1-2) - [Muse Spark vs Muse Spark 1.1](https://noometry.com/compare/muse-spark-vs-muse-spark-1-1) - [Muse Spark 1.2 vs Muse Spark 1.1](https://noometry.com/compare/muse-spark-1-1-vs-muse-spark-1-2) ## Related rankings - [Best OpenAI Models](https://noometry.com/best/openai-models) - [Best Anthropic Models](https://noometry.com/best/anthropic-models) - [Best Google Models](https://noometry.com/best/google-models) - [Best DeepSeek Models](https://noometry.com/best/deepseek-models) - [Best Mistral Models](https://noometry.com/best/mistral-models) - [Best xAI Grok Models](https://noometry.com/best/xai-models) - [Best Alibaba Qwen Models](https://noometry.com/best/alibaba-models) - [Best Moonshot Kimi Models](https://noometry.com/best/moonshot-models) - [Best Z.ai GLM Models](https://noometry.com/best/zai-models) - [Best MiniMax Models](https://noometry.com/best/minimax-models) - [Best Microsoft Models](https://noometry.com/best/microsoft-models) - [Best NVIDIA Models](https://noometry.com/best/nvidia-models) - [Best Amazon Nova Models](https://noometry.com/best/amazon-models) - [Best Cohere Models](https://noometry.com/best/cohere-models) ## Frequently asked questions ### Which Meta model is best? As of October 2026, Muse Spark 1.3 leads the Noometry Index with a score of 54.8, ahead of Muse Spark at 50.6. ### What are the top 5 in this ranking? Muse Spark 1.3, Muse Spark, Muse Spark 1.2, Muse Spark 1.1, Muse Glimmer, in that order, as of October 2026. ### How is this list ranked? By the Noometry Index, which is fitted from every public benchmark result and adjusted for how hard each benchmark is. Models need several independent results to be ranked. ### Cite this page Noometry. (2026). Best Meta Models. Retrieved October 10, 2026, from https://noometry.com/best/meta-models Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/best/meta-models.md).