# Llama 3.2 90B vs Muse Spark 1.3

> Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 27.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-2-90b-vs-muse-spark-1-3
- Last updated: 2026-10-12
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Llama 3.2 90B scores higher in 0 categories and Muse Spark 1.3 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 11.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.6% for Llama 3.2 90B and 99.2% for Muse Spark 1.3.
- Llama 3.2 90B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 27.5 | 54.8 |
| Rank | 331 | 27 |
| Context | — | 1.05M |
| Input $/M | — | $1.25 |
| Output $/M | — | $4.25 |
| Weights | Open | Proprietary |

## Coding

- Llama 3.2 90B: —
- Muse Spark 1.3: 56.6 (#21)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| LMArena Coding | — | 1514 |

## Agentic & Tool Use

- Llama 3.2 90B: 30.0 (#80)
- Muse Spark 1.3: 38.6 (#30)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| BALROG | 27.3% | — |
| GDP.pdf | — | 27.6% |

## Reasoning

- Llama 3.2 90B: 21.7 (#217)
- Muse Spark 1.3: 54.0 (#27)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| Epoch Capabilities Index | 125.5 | 156.75 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| EnigmaEval | 0.4% | — |
| LMArena Hard Prompts | — | 1503 |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |

## Math

- Llama 3.2 90B: 11.1 (#308)
- Muse Spark 1.3: 73.1 (#21)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | 99.2% |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| ProofBench | — | 58% |
| LMArena Math | — | 1494 |
| MATH Level 5 | 39.4% | — |

## Knowledge

- Llama 3.2 90B: 21.7 (#274)
- Muse Spark 1.3: 42.6 (#95)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| GPQA Diamond | 41% | — |
| LMArena Expert | — | 1516 |
| MMLU | 80.3% | — |

## Multimodal

- Llama 3.2 90B: 25.4 (#124)
- Muse Spark 1.3: 43.7 (#22)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | 1000 | 1309 |
| GeoBench | 52% | — |
| LMArena Document | — | 1471 |

## Multilingual

- Llama 3.2 90B: —
- Muse Spark 1.3: 57.4 (#8)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | — | 1481 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1524 |
| LMArena German | — | 1515 |
| LMArena Japanese | — | 1474 |
| LMArena Korean | — | 1501 |
| LMArena Russian | — | 1490 |
| LMArena Spanish | — | 1490 |

## Instruction Following

- Llama 3.2 90B: —
- Muse Spark 1.3: 77.5 (#22)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | — | 1477 |

## Long Context

- Llama 3.2 90B: —
- Muse Spark 1.3: 45.6 (#32)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | — | 1488 |

## Writing & Preference

- Llama 3.2 90B: —
- Muse Spark 1.3: 73.6 (#9)

| Benchmark | Llama 3.2 90B | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | — | 1490 |
| LMArena Creative Writing | — | 1455 |
| EQ-Bench Creative Writing | — | 1906 |
| LMArena Multi-Turn | — | 1482 |

## FAQ

### Is Llama 3.2 90B better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 27.5 on the Noometry Index.

### How many benchmarks do Llama 3.2 90B and Muse Spark 1.3 share?

3 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Muse Spark 1.3 has 37.