Model comparison
Llama 4 Maverick vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 30.9 on the Noometry Index.
Last verified . 24 shared benchmarks.
MetaSummary
- They share 24 benchmarks with published results for both. Llama 4 Maverick scores higher in 0 categories and Muse Spark in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 33.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 20.6% for Llama 4 Maverick and 88.9% for Muse Spark.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Llama 4 Maverick | Muse Spark | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 30.9 | 50.6 |
| Released | 2025-04-05 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.19 | — |
| Output $ / M tokens | $0.65 | — |
| Results tracked | 54 | 27 |
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Category by category
Coding Muse Spark leads
Llama 4 Maverick: 26.6 (#324), Muse Spark: 46.2 (#69)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| SciCode | 33.1% | 51.5% |
| LMArena Coding | 1302 | 1481 |
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| WeirdML | 24.5% | — |
| BigCodeBench Instruct | 49.7% | — |
| BigCodeBench Complete | 61.4% | — |
| ALE-Bench | 172.97 | — |
Agentic & Tool Use Not comparable
Llama 4 Maverick: 28.2 (#91), Muse Spark: —
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
Reasoning Muse Spark leads
Llama 4 Maverick: 10.1 (#342), Muse Spark: 35.9 (#67)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| CritPt | 0% | 11.3% |
| LMArena Hard Prompts | 1281 | 1474 |
| Epoch Capabilities Index | 132.2 | 152.04 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| Kagi LLM Benchmark | 55.9% | — |
| NYT Connections (extended) | 8% | — |
| ARC-AGI-1 | 4.4% | — |
| EnigmaEval | 0.6% | — |
| DTBench | 61.9% | — |
| LMCA | 15.9% | — |
| ForecastBench | 57.5 | — |
Math Muse Spark leads
Llama 4 Maverick: 26.0 (#262), Muse Spark: 47.8 (#66)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 20.6% | 88.9% |
| LMArena Math | 1299 | 1455 |
| FrontierMath (Feb 2025 set) | 0.7% | 39% |
| ProofBench | — | 17% |
| Omni-MATH | 42.2% | — |
| MATH Level 5 | 73% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
Llama 4 Maverick: 33.4 (#204), Muse Spark: 65.7 (#13)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| GPQA Diamond | 67% | 89.8% |
| Humanity's Last Exam | 5.7% | 40.6% |
| LMArena Expert | 1259 | 1457 |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
Multimodal Muse Spark leads
Llama 4 Maverick: 31.6 (#105), Muse Spark: 43.4 (#24)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| LMArena Vision | 1142 | 1306 |
| GeoBench | 52% | — |
| LMArena Document | — | 1444 |
| SpatialViz-Bench | 31.8% | — |
Multilingual Muse Spark leads
Llama 4 Maverick: 42.2 (#195), Muse Spark: 56.1 (#24)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| LMArena Non-English | 1269 | 1464 |
| LMArena Chinese | 1277 | 1509 |
| LMArena French | 1259 | 1497 |
| LMArena German | 1291 | 1497 |
| LMArena Korean | 1203 | 1459 |
| LMArena Russian | 1286 | 1466 |
| LMArena Spanish | 1293 | 1472 |
| LMArena Japanese | 1207 | — |
Instruction Following Muse Spark leads
Llama 4 Maverick: 71.7 (#146), Muse Spark: 75.9 (#51)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1267 | 1442 |
| IFEval | 90.8% | — |
Long Context Muse Spark leads
Llama 4 Maverick: 31.4 (#279), Muse Spark: 44.4 (#69)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1280 | 1451 |
| Fiction.LiveBench | 46.2% | — |
Writing & Preference Muse Spark leads
Llama 4 Maverick: 38.8 (#252), Muse Spark: 66.0 (#39)
| Benchmark | Llama 4 Maverick | Muse Spark |
|---|---|---|
| LMArena Text | 1287 | 1474 |
| LMArena Creative Writing | 1267 | 1459 |
| LMArena Multi-Turn | 1289 | 1477 |
| Short-Story Creative Writing | 62% | — |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
Frequently asked questions
Is Llama 4 Maverick better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 30.9 on the Noometry Index.
Is Llama 4 Maverick or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 26.6 in the Noometry coding category.
How many benchmarks do Llama 4 Maverick and Muse Spark share?
24 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Muse Spark has 27.