Model comparison
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.
Last verified . 3 shared benchmarks.
MetaSummary
- 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.
Side by side
| Llama 3.2 90B | Muse Spark 1.3 | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 27.5 | 54.8 |
| Released | 2024-09-24 | 2026-09-02 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 9 | 37 |
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Category by category
Coding Not comparable
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 Muse Spark 1.3 leads
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 Muse Spark 1.3 leads
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 Muse Spark 1.3 leads
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 Muse Spark 1.3 leads
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 Muse Spark 1.3 leads
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 Not comparable
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 Not comparable
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 Not comparable
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 Not comparable
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 |
Frequently asked questions
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.