Provider ranking

Best Meta Models in October 2026

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.

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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

Full ranking

Best Meta Models
1 Meta Muse Spark 1.3MetaProprietary1.05M54.8 $1.25 $4.25 27.4—
2 Meta Muse SparkMetaProprietary—50.6 — — ——
3 Meta Muse Spark 1.2MetaProprietary1.05M50.3 $1.25 $4.25 25.2—
4 Meta Muse Spark 1.1MetaProprietary1.05M49.9 $1.25 $4.25 25—
5 Meta Muse GlimmerMetaOpen—41.7 — — ——
6 Meta Codellama 70b InstructMetaOpen—33.7 — — ——
7 Meta Llama 4 MaverickMetaOpen128K30.9 $0.19 $0.65 102456
8 Meta Codellama 34b InstructMetaOpen—30.8 — — ——
9 Meta Llama 3.1-405BMetaOpen—30.7 — — —78
10 Meta Llama-3.3-70B-InstructMetaOpen128K30.6 $0.10 $0.32 197—
11 Meta Llama 3.1-70BMetaOpen128K29.6 $0.40 $0.40 74.1—
12 Meta Llama 2-13BMetaOpen—29.6 — — ——
13 Meta Llama 2-7BMetaOpen—29.1 — — ——
14 Meta Llama 3.2 3BMetaOpen131K28.9 $0.05 $0.33 241—
15 Meta Llama 3-70BMetaOpen—28.8 — — —104
16 Meta Llama 4 ScoutMetaOpen128K27.7 $0.10 $0.30 184272
17 Meta Llama 3.2 90BMetaOpen—27.5 — — ——
18 Meta Llama 3-8BMetaOpen—25.5 — — ——
19 Meta Llama 13bMetaOpen—24.4 — — ——
20 Meta Llama 2-70BMetaOpen—24.4 — — ——
21 Meta Llama 3.1-8BMetaOpen128K23.0 $0.05 $0.08 400—
22 Meta Llama 3.2 1BMetaOpen60K20.1 $0.027 $0.20 286—

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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.