Model comparison
GPT-5 vs Muse Spark 1.2
GPT-5 and Muse Spark 1.2 score almost the same on the Noometry Index (50.9 vs 50.3), so choose on price, context window or the category you care about most.
Last verified . 26 shared benchmarks.
MetaSummary
- They share 26 benchmarks with published results for both. GPT-5 scores higher in 6 categories and Muse Spark 1.2 in 4 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 45.2.
- The biggest single-benchmark swing is ProofBench: 18% for GPT-5 and 43% for Muse Spark 1.2.
- Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.25 / $10 for GPT-5.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5 | Muse Spark 1.2 | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 50.9 | 50.3 |
| Released | 2025-08-07 | 2026-08-05 |
| 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 | 69 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5 leads
GPT-5: 50.3 (#47), Muse Spark 1.2: 49.2 (#51)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| LMArena WebDev | 1418 | 1533 |
| SciCode | 42.9% | 56.4% |
| WeirdML | 60.7% | 60.3% |
| LMArena Coding | 1436 | 1495 |
| SWE-bench Verified | 73.6% | — |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 65% | — |
| Aider Polyglot | 88% | — |
| FrontierSWE | — | 12% |
| GSO | 6.9% | — |
| ALE-Bench | 1,162 | — |
| AlgoTune | 1.67 | — |
Agentic & Tool Use GPT-5 leads
GPT-5: 33.1 (#56), Muse Spark 1.2: 29.4 (#87)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| Terminal-Bench | 49.6% | — |
| APEX-Agents | — | 36.4% |
| GDPval | 34.8% | — |
| Remote Labor Index | 1.7% | — |
| DeepResearch Bench | 49.6% | — |
| BALROG | 32.8% | — |
| GDP.pdf | — | 16% |
| LMArena Search | 1133 | — |
| METR Time Horizons | 69.6% | — |
Reasoning Muse Spark 1.2 leads
GPT-5: 38.3 (#64), Muse Spark 1.2: 51.3 (#34)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| SimpleBench | 56.7% | 74.5% |
| CritPt | 12.6% | 17.7% |
| LMArena Hard Prompts | 1416 | 1486 |
| DTBench | 90.7% | 94.7% |
| LMCA | 40% | 48.4% |
| Epoch Capabilities Index | 150 | 154.87 |
| ARC-AGI-2 | 9.9% | — |
| Kagi LLM Benchmark | 72.7% | — |
| NYT Connections (extended) | — | 79.2% |
| ARC-AGI-1 | 65.7% | — |
| Chess Puzzles | 37% | — |
| EnigmaEval | 10.5% | — |
| EBR-Bench | 12.7% | — |
| Mystery Game Puzzles | 23% | — |
| ForecastBench | 61.4 | — |
Math GPT-5 leads
GPT-5: 55.0 (#44), Muse Spark 1.2: 46.4 (#70)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| ProofBench | 18% | 43% |
| LMArena Math | 1407 | 1471 |
| FrontierMath (Tiers 1-3) | 55.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 91.4% | — |
| Omni-MATH | 64.7% | — |
| MATH Level 5 | 98.1% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GPT-5 leads
GPT-5: 56.6 (#43), Muse Spark 1.2: 54.1 (#53)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| SimpleQA Verified | 50.1% | 60.3% |
| LMArena Expert | 1419 | 1480 |
| GPQA Diamond | 86.2% | — |
| Humanity's Last Exam | 25.3% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.3% | — |
| Vectara Hallucination Rate | 14.7% | — |
| GPQA (HELM) | 79.2% | — |
Multimodal GPT-5 leads
GPT-5: 46.8 (#13), Muse Spark 1.2: 43.4 (#25)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1232 | 1305 |
| GeoBench | 81% | — |
| VPCT | 66% | — |
Multilingual Muse Spark 1.2 leads
GPT-5: 51.4 (#110), Muse Spark 1.2: 57.1 (#11)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1397 | 1478 |
| LMArena Chinese | 1422 | 1511 |
| LMArena French | 1410 | 1513 |
| LMArena Russian | 1406 | 1487 |
| LMArena Spanish | 1399 | 1498 |
| LMArena German | 1416 | — |
| LMArena Japanese | 1409 | — |
| LMArena Korean | 1360 | — |
Instruction Following Muse Spark 1.2 leads
GPT-5: 73.8 (#113), Muse Spark 1.2: 76.7 (#36)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1388 | 1461 |
| IFEval | 87.5% | — |
Long Context GPT-5 leads
GPT-5: 69.5 (#2), Muse Spark 1.2: 45.2 (#48)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1399 | 1475 |
| Fiction.LiveBench | 97.2% | — |
Writing & Preference Muse Spark 1.2 leads
GPT-5: 63.4 (#65), Muse Spark 1.2: 72.3 (#14)
| Benchmark | GPT-5 | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1406 | 1482 |
| LMArena Creative Writing | 1365 | 1449 |
| EQ-Bench Creative Writing | 1627 | 1840 |
| LMArena Multi-Turn | 1426 | 1494 |
| Short-Story Creative Writing | 86% | — |
| WildBench | 85.7% | — |
Frequently asked questions
Is GPT-5 better than Muse Spark 1.2?
GPT-5 and Muse Spark 1.2 score almost the same on the Noometry Index (50.9 vs 50.3), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5 or Muse Spark 1.2?
Muse Spark 1.2 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-5 lists at $1.25 and $10.
Is GPT-5 or Muse Spark 1.2 better for coding?
GPT-5 scores higher on coding benchmarks: 50.3 versus 49.2 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.2 does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5 and Muse Spark 1.2 share?
26 benchmarks have published results for both models. GPT-5 has 69 scored results on Noometry and Muse Spark 1.2 has 31.