# Llama 4 Maverick vs Muse Spark 1.2

> Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 30.9 on the Noometry Index. Llama 4 Maverick costs 6.6× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-4-maverick-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Llama 4 Maverick scores higher in 0 categories and Muse Spark 1.2 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 10.1.
- The biggest single-benchmark swing is NYT Connections (extended): 8% for Llama 4 Maverick and 79.2% for Muse Spark 1.2.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 128K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 30.9 | 50.3 |
| Rank | 282 | 48 |
| Context | 128K | 1.05M |
| Input $/M | $0.19 | $1.25 |
| Output $/M | $0.65 | $4.25 |
| Weights | Open | Proprietary |

## Coding

- Llama 4 Maverick: 26.6 (#324)
- Muse Spark 1.2: 49.2 (#51)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| SciCode | 33.1% | 56.4% |
| WeirdML | 24.5% | 60.3% |
| LMArena Coding | 1302 | 1495 |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| LMArena WebDev | — | 1533 |
| FrontierSWE | — | 12% |
| BigCodeBench Instruct | 49.7% | — |
| BigCodeBench Complete | 61.4% | — |
| ALE-Bench | 172.97 | — |

## Agentic & Tool Use

- Llama 4 Maverick: 28.2 (#91)
- Muse Spark 1.2: 29.4 (#87)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| Berkeley Function Calling Leaderboard | 37.3% | — |
| GDP.pdf | — | 16% |

## Reasoning

- Llama 4 Maverick: 10.1 (#342)
- Muse Spark 1.2: 51.3 (#34)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| SimpleBench | 27.7% | 74.5% |
| NYT Connections (extended) | 8% | 79.2% |
| CritPt | 0% | 17.7% |
| LMArena Hard Prompts | 1281 | 1486 |
| DTBench | 61.9% | 94.7% |
| LMCA | 15.9% | 48.4% |
| Epoch Capabilities Index | 132.2 | 154.87 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 55.9% | — |
| ARC-AGI-1 | 4.4% | — |
| EnigmaEval | 0.6% | — |
| ForecastBench | 57.5 | — |

## Math

- Llama 4 Maverick: 26.0 (#262)
- Muse Spark 1.2: 46.4 (#70)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| LMArena Math | 1299 | 1471 |
| OTIS Mock AIME 2024-2025 | 20.6% | — |
| ProofBench | — | 43% |
| Omni-MATH | 42.2% | — |
| MATH Level 5 | 73% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |

## Knowledge

- Llama 4 Maverick: 33.4 (#204)
- Muse Spark 1.2: 54.1 (#53)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1259 | 1480 |
| GPQA Diamond | 67% | — |
| Humanity's Last Exam | 5.7% | — |
| SimpleQA Verified | — | 60.3% |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |

## Multimodal

- Llama 4 Maverick: 31.6 (#105)
- Muse Spark 1.2: 43.4 (#25)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1142 | 1305 |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |

## Multilingual

- Llama 4 Maverick: 42.2 (#195)
- Muse Spark 1.2: 57.1 (#11)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1269 | 1478 |
| LMArena Chinese | 1277 | 1511 |
| LMArena French | 1259 | 1513 |
| LMArena Russian | 1286 | 1487 |
| LMArena Spanish | 1293 | 1498 |
| LMArena German | 1291 | — |
| LMArena Japanese | 1207 | — |
| LMArena Korean | 1203 | — |

## Instruction Following

- Llama 4 Maverick: 71.7 (#146)
- Muse Spark 1.2: 76.7 (#36)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1267 | 1461 |
| IFEval | 90.8% | — |

## Long Context

- Llama 4 Maverick: 31.4 (#279)
- Muse Spark 1.2: 45.2 (#48)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1280 | 1475 |
| Fiction.LiveBench | 46.2% | — |

## Writing & Preference

- Llama 4 Maverick: 38.8 (#252)
- Muse Spark 1.2: 72.3 (#14)

| Benchmark | Llama 4 Maverick | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1287 | 1482 |
| LMArena Creative Writing | 1267 | 1449 |
| EQ-Bench Creative Writing | 860 | 1840 |
| LMArena Multi-Turn | 1289 | 1494 |
| Short-Story Creative Writing | 62% | — |
| WildBench | 80% | — |

## FAQ

### Is Llama 4 Maverick better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 30.9 on the Noometry Index. Llama 4 Maverick costs 6.6× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

### Which is cheaper, Llama 4 Maverick or Muse Spark 1.2?

Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

### Is Llama 4 Maverick or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 26.6 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 128K.

### How many benchmarks do Llama 4 Maverick and Muse Spark 1.2 share?

24 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Muse Spark 1.2 has 31.