Model comparison
GPT-5 Pro vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 46.4 on the Noometry Index.
Last verified . 3 shared benchmarks.
MetaSummary
- They share 3 benchmarks with published results for both. GPT-5 Pro scores higher in 1 category and Muse Spark 1.3 in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 48.5.
- The biggest single-benchmark swing is FrontierMath Tier 4: 19.5% for GPT-5 Pro and 46.3% for Muse Spark 1.3.
- Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5 Pro | Muse Spark 1.3 | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 46.4 | 54.8 |
| Released | 2025-10-06 | 2026-09-02 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 272K | 131K |
| Input $ / M tokens | $15 | $1.25 |
| Output $ / M tokens | $120 | $4.25 |
| Results tracked | 12 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
GPT-5 Pro: 44.0 (#80), Muse Spark 1.3: 56.6 (#21)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1514 |
| AlgoTune | 1.31 | — |
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
GPT-5 Pro: 38.9 (#62), Muse Spark 1.3: 54.0 (#27)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 156.75 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| NYT Connections (extended) | — | 85.1% |
| ARC-AGI-1 | 70.2% | — |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1503 |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
Math Muse Spark 1.3 leads
GPT-5 Pro: 48.5 (#63), Muse Spark 1.3: 73.1 (#21)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | 74.4% |
| FrontierMath Tier 4 | 19.5% | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
| LMArena Math | — | 1494 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Muse Spark 1.3: 42.6 (#95)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| LMArena Expert | — | 1516 |
Multimodal Not comparable
GPT-5 Pro: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Not comparable
GPT-5 Pro: —, Muse Spark 1.3: 57.4 (#8)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | — | 1481 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1524 |
| LMArena German | — | 1515 |
| LMArena Japanese | — | 1474 |
| LMArena Korean | — | 1501 |
| LMArena Russian | — | 1490 |
| LMArena Spanish | — | 1490 |
Instruction Following Not comparable
GPT-5 Pro: —, Muse Spark 1.3: 77.5 (#22)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | — | 1477 |
Long Context Not comparable
GPT-5 Pro: —, Muse Spark 1.3: 45.6 (#32)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | — | 1488 |
Writing & Preference Not comparable
GPT-5 Pro: —, Muse Spark 1.3: 73.6 (#9)
| Benchmark | GPT-5 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | — | 1490 |
| LMArena Creative Writing | — | 1455 |
| EQ-Bench Creative Writing | — | 1906 |
| LMArena Multi-Turn | — | 1482 |
Frequently asked questions
Is GPT-5 Pro better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 46.4 on the Noometry Index.
Which is cheaper, GPT-5 Pro or Muse Spark 1.3?
Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 44.0 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.3 does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5 Pro and Muse Spark 1.3 share?
3 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Muse Spark 1.3 has 37.