Model comparison
Llama 4 Maverick vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 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 1.3's lead doesn't matter for your workload.
Last verified . 26 shared benchmarks.
MetaSummary
- They share 26 benchmarks with published results for both. Llama 4 Maverick scores higher in 0 categories and Muse Spark 1.3 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 26.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 20.6% for Llama 4 Maverick and 99.2% for Muse Spark 1.3.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 128K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Llama 4 Maverick | Muse Spark 1.3 | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 30.9 | 54.8 |
| Released | 2025-04-05 | 2026-09-02 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 4K | 131K |
| Input $ / M tokens | $0.19 | $1.25 |
| Output $ / M tokens | $0.65 | $4.25 |
| Results tracked | 54 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
Llama 4 Maverick: 26.6 (#324), Muse Spark 1.3: 56.6 (#21)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| SciCode | 33.1% | 59.7% |
| LMArena Coding | 1302 | 1514 |
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| WeirdML | 24.5% | — |
| BigCodeBench Instruct | 49.7% | — |
| BigCodeBench Complete | 61.4% | — |
| ALE-Bench | 172.97 | — |
Agentic & Tool Use Muse Spark 1.3 leads
Llama 4 Maverick: 28.2 (#91), Muse Spark 1.3: 38.6 (#30)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| Berkeley Function Calling Leaderboard | 37.3% | — |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Llama 4 Maverick: 10.1 (#342), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| NYT Connections (extended) | 8% | 85.1% |
| CritPt | 0% | 26% |
| LMArena Hard Prompts | 1281 | 1503 |
| DTBench | 61.9% | 96.5% |
| LMCA | 15.9% | 53.9% |
| Epoch Capabilities Index | 132.2 | 156.75 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| Kagi LLM Benchmark | 55.9% | — |
| ARC-AGI-1 | 4.4% | — |
| Chess Puzzles | — | 38% |
| EnigmaEval | 0.6% | — |
| Mystery Game Puzzles | — | 25% |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 57.5 | — |
Math Muse Spark 1.3 leads
Llama 4 Maverick: 26.0 (#262), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 20.6% | 99.2% |
| LMArena Math | 1299 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| ProofBench | — | 58% |
| Omni-MATH | 42.2% | — |
| MATH Level 5 | 73% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Muse Spark 1.3 leads
Llama 4 Maverick: 33.4 (#204), Muse Spark 1.3: 42.6 (#95)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1259 | 1516 |
| GPQA Diamond | 67% | — |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
Multimodal Muse Spark 1.3 leads
Llama 4 Maverick: 31.6 (#105), Muse Spark 1.3: 43.7 (#22)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | 1142 | 1309 |
| GeoBench | 52% | — |
| LMArena Document | — | 1471 |
| SpatialViz-Bench | 31.8% | — |
Multilingual Muse Spark 1.3 leads
Llama 4 Maverick: 42.2 (#195), Muse Spark 1.3: 57.4 (#8)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1269 | 1481 |
| LMArena Chinese | 1277 | 1529 |
| LMArena French | 1259 | 1524 |
| LMArena German | 1291 | 1515 |
| LMArena Japanese | 1207 | 1474 |
| LMArena Korean | 1203 | 1501 |
| LMArena Russian | 1286 | 1490 |
| LMArena Spanish | 1293 | 1490 |
Instruction Following Muse Spark 1.3 leads
Llama 4 Maverick: 71.7 (#146), Muse Spark 1.3: 77.5 (#22)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1267 | 1477 |
| IFEval | 90.8% | — |
Long Context Muse Spark 1.3 leads
Llama 4 Maverick: 31.4 (#279), Muse Spark 1.3: 45.6 (#32)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1280 | 1488 |
| Fiction.LiveBench | 46.2% | — |
Writing & Preference Muse Spark 1.3 leads
Llama 4 Maverick: 38.8 (#252), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Llama 4 Maverick | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1287 | 1490 |
| LMArena Creative Writing | 1267 | 1455 |
| EQ-Bench Creative Writing | 860 | 1906 |
| LMArena Multi-Turn | 1289 | 1482 |
| Short-Story Creative Writing | 62% | — |
| WildBench | 80% | — |
Frequently asked questions
Is Llama 4 Maverick better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 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 1.3's lead doesn't matter for your workload.
Which is cheaper, Llama 4 Maverick or Muse Spark 1.3?
Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Is Llama 4 Maverick or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 26.6 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.3 does, with 1.05M tokens against 128K.
How many benchmarks do Llama 4 Maverick and Muse Spark 1.3 share?
26 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Muse Spark 1.3 has 37.