Model comparison
GPT-5.4 mini vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 45.0 on the Noometry Index.
Last verified . 28 shared benchmarks.
MetaSummary
- They share 28 benchmarks with published results for both. GPT-5.4 mini scores higher in 1 category and Muse Spark 1.1 in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 30.4.
- The biggest single-benchmark swing is SimpleQA Verified: 29.4% for GPT-5.4 mini and 57.8% for Muse Spark 1.1.
- GPT-5.4 mini is cheaper at $0.75 / $4.50 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.4 mini | Muse Spark 1.1 | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.0 | 49.9 |
| Released | 2026-03-17 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.75 | $1.25 |
| Output $ / M tokens | $4.50 | $4.25 |
| Results tracked | 46 | 37 |
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Category by category
Coding Muse Spark 1.1 leads
GPT-5.4 mini: 45.2 (#72), Muse Spark 1.1: 51.3 (#40)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| LMArena WebDev | 1397 | 1542 |
| SciCode | 49.9% | 58.8% |
| LMArena Coding | 1438 | 1498 |
| DeepSWE | — | 53.3% |
| FrontierCode | 27% | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Too close to call
GPT-5.4 mini: 29.9 (#81), Muse Spark 1.1: 30.8 (#73)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| DeepResearch Bench | 36.3% | — |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
GPT-5.4 mini: 30.4 (#85), Muse Spark 1.1: 47.1 (#44)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| NYT Connections (extended) | 61.8% | 84.9% |
| CritPt | 10% | 15.1% |
| LMArena Hard Prompts | 1424 | 1486 |
| DTBench | 80% | 94.4% |
| LMCA | 40.8% | 49.9% |
| Epoch Capabilities Index | 148.84 | 154.21 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| ARC-AGI-1 | 63.7% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| Surface Evolver Bench | — | 52.5% |
| ForecastBench | 57 | — |
Math Too close to call
GPT-5.4 mini: 45.5 (#75), Muse Spark 1.1: 45.5 (#76)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| ProofBench | 21% | 39% |
| LMArena Math | 1419 | 1483 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Muse Spark 1.1 leads
GPT-5.4 mini: 51.5 (#67), Muse Spark 1.1: 53.1 (#59)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| SimpleQA Verified | 29.4% | 57.8% |
| LMArena Expert | 1435 | 1478 |
| GPQA Diamond | 86.9% | — |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal Muse Spark 1.1 leads
GPT-5.4 mini: 39.7 (#56), Muse Spark 1.1: 42.6 (#29)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | 1245 | 1293 |
| LMArena Document | — | 1465 |
Multilingual Muse Spark 1.1 leads
GPT-5.4 mini: 51.9 (#96), Muse Spark 1.1: 56.7 (#17)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1405 | 1472 |
| LMArena Chinese | 1446 | 1518 |
| LMArena French | 1440 | 1494 |
| LMArena German | 1409 | 1466 |
| LMArena Japanese | 1374 | 1451 |
| LMArena Korean | 1368 | 1458 |
| LMArena Russian | 1417 | 1483 |
| LMArena Spanish | 1405 | 1464 |
Instruction Following Muse Spark 1.1 leads
GPT-5.4 mini: 74.1 (#102), Muse Spark 1.1: 76.5 (#39)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1457 |
Long Context Muse Spark 1.1 leads
GPT-5.4 mini: 43.0 (#112), Muse Spark 1.1: 44.8 (#58)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1407 | 1462 |
Writing & Preference Muse Spark 1.1 leads
GPT-5.4 mini: 64.0 (#58), Muse Spark 1.1: 73.4 (#11)
| Benchmark | GPT-5.4 mini | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1412 | 1479 |
| LMArena Creative Writing | 1370 | 1437 |
| EQ-Bench Creative Writing | 1665 | 1927 |
| LMArena Multi-Turn | 1429 | 1485 |
| EQ-Bench 4 | — | 1260 |
Frequently asked questions
Is GPT-5.4 mini better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 45.0 on the Noometry Index.
Which is cheaper, GPT-5.4 mini or Muse Spark 1.1?
GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.
Is GPT-5.4 mini or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 45.2 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.1 does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.4 mini and Muse Spark 1.1 share?
28 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Muse Spark 1.1 has 37.