Model comparison
Muse Spark 1.1 vs o3-mini
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 36.7 on the Noometry Index.
Last verified . 23 shared benchmarks.
MetaSummary
- They share 23 benchmarks with published results for both. Muse Spark 1.1 scores higher in 9 categories and o3-mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 16.3.
- The biggest single-benchmark swing is SimpleQA Verified: 57.8% for Muse Spark 1.1 and 15.3% for o3-mini.
- Both cost about the same: $1.25 input and $4.25 output per million tokens.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 200K.
Side by side
| Muse Spark 1.1 | o3-mini | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 49.9 | 36.7 |
| Released | 2026-04-08 | 2024-12-20 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 131K | 100K |
| Input $ / M tokens | $1.25 | $1.10 |
| Output $ / M tokens | $4.25 | $4.40 |
| Results tracked | 37 | 51 |
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Category by category
Coding Muse Spark 1.1 leads
Muse Spark 1.1: 51.3 (#40), o3-mini: 40.8 (#132)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| SciCode | 58.8% | 39.8% |
| LMArena Coding | 1498 | 1378 |
| DeepSWE | 53.3% | — |
| Aider Polyglot | — | 60.4% |
| LMArena WebDev | 1542 | — |
| GSO | — | 1.3% |
| WeirdML | — | 43.7% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
Agentic & Tool Use Muse Spark 1.1 leads
Muse Spark 1.1: 30.8 (#73), o3-mini: 29.6 (#84)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| APEX-Agents | 31.8% | — |
| τ²-bench Banking | 40.5% | — |
| Cybench | — | 22.5% |
| GBAEval | 7.9% | — |
| GDP.pdf | 15% | — |
| Vending-Bench 2 | 6,520 | — |
Reasoning Muse Spark 1.1 leads
Muse Spark 1.1: 47.1 (#44), o3-mini: 16.3 (#305)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| CritPt | 15.1% | 0.3% |
| LMArena Hard Prompts | 1486 | 1366 |
| DTBench | 94.4% | 68.8% |
| LMCA | 49.9% | 19% |
| Epoch Capabilities Index | 154.21 | 140.34 |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| NYT Connections (extended) | 84.9% | — |
| ARC-AGI-1 | — | 34.5% |
| Chess Puzzles | — | 17% |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | — | 70.6% |
| Surface Evolver Bench | 52.5% | — |
| ForecastBench | — | 59.6 |
| LiveBench | — | 75.9% |
Math Muse Spark 1.1 leads
Muse Spark 1.1: 45.5 (#76), o3-mini: 28.1 (#244)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| LMArena Math | 1483 | 1396 |
| FrontierMath (Tiers 1-3) | — | 18.6% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 76.9% |
| ProofBench | 39% | — |
| LiveBench Math | — | 77.3% |
| MATH Level 5 | — | 96.5% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Muse Spark 1.1 leads
Muse Spark 1.1: 53.1 (#59), o3-mini: 38.3 (#146)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| SimpleQA Verified | 57.8% | 15.3% |
| LMArena Expert | 1478 | 1364 |
| GPQA Diamond | — | 77% |
| Confabulations | — | 17.9% |
Multimodal Not comparable
Muse Spark 1.1: 42.6 (#29), o3-mini: —
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| LMArena Vision | 1293 | — |
| LMArena Document | 1465 | — |
Multilingual Muse Spark 1.1 leads
Muse Spark 1.1: 56.7 (#17), o3-mini: 45.7 (#164)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| LMArena Non-English | 1472 | 1319 |
| LMArena Chinese | 1518 | 1379 |
| LMArena French | 1494 | 1334 |
| LMArena German | 1466 | 1303 |
| LMArena Japanese | 1451 | 1286 |
| LMArena Korean | 1458 | 1314 |
| LMArena Russian | 1483 | 1304 |
| LMArena Spanish | 1464 | 1321 |
Instruction Following Muse Spark 1.1 leads
Muse Spark 1.1: 76.5 (#39), o3-mini: 75.1 (#72)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1457 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
Long Context Muse Spark 1.1 leads
Muse Spark 1.1: 44.8 (#58), o3-mini: 33.8 (#256)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| LMArena Longer Query | 1462 | 1343 |
| Fiction.LiveBench | — | 50% |
Writing & Preference Muse Spark 1.1 leads
Muse Spark 1.1: 73.4 (#11), o3-mini: 50.3 (#182)
| Benchmark | Muse Spark 1.1 | o3-mini |
|---|---|---|
| LMArena Text | 1479 | 1337 |
| LMArena Creative Writing | 1437 | 1286 |
| LMArena Multi-Turn | 1485 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| EQ-Bench Creative Writing | 1927 | — |
| EQ-Bench 4 | 1260 | — |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Muse Spark 1.1 better than o3-mini?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 36.7 on the Noometry Index.
Which is cheaper, Muse Spark 1.1 or o3-mini?
o3-mini is cheaper. It lists at $1.10 per million input tokens and $4.40 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.
Is Muse Spark 1.1 or o3-mini better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.1 does, with 1.05M tokens against 200K.
How many benchmarks do Muse Spark 1.1 and o3-mini share?
23 benchmarks have published results for both models. Muse Spark 1.1 has 37 scored results on Noometry and o3-mini has 51.