Model comparison
GPT-5.1 vs Muse Spark 1.1
GPT-5.1 and Muse Spark 1.1 score almost the same on the Noometry Index (49.0 vs 49.9), so choose on price, context window or the category you care about most.
Last verified . 27 shared benchmarks.
MetaSummary
- They share 27 benchmarks with published results for both. GPT-5.1 scores higher in 5 categories and Muse Spark 1.1 in 5 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Muse Spark 1.1 leads 73.4 to 64.5.
- The biggest single-benchmark swing is SciCode: 43.3% for GPT-5.1 and 58.8% for Muse Spark 1.1.
- Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.1 | Muse Spark 1.1 | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 49.0 | 49.9 |
| Released | 2025-11-13 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $1.25 |
| Output $ / M tokens | $10 | $4.25 |
| Results tracked | 63 | 37 |
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Category by category
Coding Muse Spark 1.1 leads
GPT-5.1: 46.4 (#66), Muse Spark 1.1: 51.3 (#40)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena WebDev | 1395 | 1542 |
| SciCode | 43.3% | 58.8% |
| LMArena Coding | 1454 | 1498 |
| SWE-bench Verified | 68% | — |
| DeepSWE | — | 53.3% |
| SWE-bench Verified (bash only) | 66% | — |
| GSO | 13.7% | — |
| WeirdML | 60.8% | — |
| LiveBench Coding | 72.5% | — |
| ALE-Bench | 1,192 | — |
Agentic & Tool Use GPT-5.1 leads
GPT-5.1: 32.7 (#60), Muse Spark 1.1: 30.8 (#73)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| Vending-Bench 2 | 1,473 | 6,520 |
| Terminal-Bench | 47.6% | — |
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| DeepResearch Bench | 42.8% | — |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| LMArena Search | 1199 | — |
Reasoning Muse Spark 1.1 leads
GPT-5.1: 39.8 (#58), Muse Spark 1.1: 47.1 (#44)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| CritPt | 4.9% | 15.1% |
| LMArena Hard Prompts | 1457 | 1486 |
| DTBench | 90.1% | 94.4% |
| LMCA | 43.9% | 49.9% |
| Epoch Capabilities Index | 149.64 | 154.21 |
| ARC-AGI-2 | 17.6% | — |
| SimpleBench | 53.2% | — |
| NYT Connections (extended) | — | 84.9% |
| ARC-AGI-1 | 72.8% | — |
| Chess Puzzles | 32% | — |
| EnigmaEval | 11.2% | — |
| LiveBench Reasoning | 95.8% | — |
| Mystery Game Puzzles | 19% | — |
| LiveBench Data Analysis | 72.1% | — |
| Surface Evolver Bench | — | 52.5% |
| ForecastBench | 58.1 | — |
| LiveBench | 78.8% | — |
Math GPT-5.1 leads
GPT-5.1: 52.2 (#51), Muse Spark 1.1: 45.5 (#76)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1447 | 1483 |
| OTIS Mock AIME 2024-2025 | 88.6% | — |
| ProofBench | — | 39% |
| Omni-MATH | 46.4% | — |
| LiveBench Math | 94.5% | — |
| FrontierMath (Feb 2025 set) | 31% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge Muse Spark 1.1 leads
GPT-5.1: 50.6 (#71), Muse Spark 1.1: 53.1 (#59)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| SimpleQA Verified | 48% | 57.8% |
| LMArena Expert | 1470 | 1478 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 23.7% | — |
| MMLU-Pro | 57.9% | — |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | 44.2% | — |
Multimodal GPT-5.1 leads
GPT-5.1: 44.8 (#19), Muse Spark 1.1: 42.6 (#29)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | 1250 | 1293 |
| LMArena Document | 1403 | 1465 |
| VPCT | 58.7% | — |
Multilingual Muse Spark 1.1 leads
GPT-5.1: 53.8 (#56), Muse Spark 1.1: 56.7 (#17)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1431 | 1472 |
| LMArena Chinese | 1495 | 1518 |
| LMArena French | 1450 | 1494 |
| LMArena German | 1438 | 1466 |
| LMArena Japanese | 1453 | 1451 |
| LMArena Korean | 1401 | 1458 |
| LMArena Russian | 1435 | 1483 |
| LMArena Spanish | 1433 | 1464 |
Instruction Following GPT-5.1 leads
GPT-5.1: 83.9 (#1), Muse Spark 1.1: 76.5 (#39)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1443 | 1457 |
| LiveBench Instruction Following | 93.3% | — |
| IFEval | 93.5% | — |
Long Context GPT-5.1 leads
GPT-5.1: 47.6 (#14), Muse Spark 1.1: 44.8 (#58)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1447 | 1462 |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |
Writing & Preference Muse Spark 1.1 leads
GPT-5.1: 64.5 (#55), Muse Spark 1.1: 73.4 (#11)
| Benchmark | GPT-5.1 | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1443 | 1479 |
| LMArena Creative Writing | 1427 | 1437 |
| LMArena Multi-Turn | 1450 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
| WildBench | 86.3% | — |
| EQ-Bench 4 | — | 1260 |
| LiveBench Language | 80.2% | — |
Frequently asked questions
Is GPT-5.1 better than Muse Spark 1.1?
GPT-5.1 and Muse Spark 1.1 score almost the same on the Noometry Index (49.0 vs 49.9), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.1 or Muse Spark 1.1?
Muse Spark 1.1 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-5.1 lists at $1.25 and $10.
Is GPT-5.1 or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 46.4 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-5.1 and Muse Spark 1.1 share?
27 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and Muse Spark 1.1 has 37.