Model comparison
GPT-5.2 Pro vs Muse Spark 1.1
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 49.9 on the Noometry Index. Muse Spark 1.1 costs 29× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
MetaSummary
- They share 2 benchmarks with published results for both. GPT-5.2 Pro scores higher in 2 categories and Muse Spark 1.1 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 64.8 to 44.0.
- The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 84.9% for Muse Spark 1.1.
- Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.2 Pro | Muse Spark 1.1 | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 52.2 | 49.9 |
| Released | 2025-12-11 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $21 | $1.25 |
| Output $ / M tokens | $168 | $4.25 |
| Results tracked | 8 | 36 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Muse Spark 1.1: 50.8 (#38)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| DeepSWE | — | 53.3% |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |
| LMArena Coding | — | 1497 |
Agentic & Tool Use Not comparable
GPT-5.2 Pro: —, Muse Spark 1.1: 33.9 (#45)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.8 (#31), Muse Spark 1.1: 45.9 (#41)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| NYT Connections (extended) | 79.3% | 84.9% |
| Epoch Capabilities Index | 155.41 | 154.32 |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | — | 15.1% |
| LMArena Hard Prompts | — | 1486 |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 64.8 (#23), Muse Spark 1.1: 44.0 (#67)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| ProofBench | — | 39% |
| LMArena Math | — | 1477 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Muse Spark 1.1: 52.8 (#55)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| SimpleQA Verified | — | 57.8% |
| LMArena Expert | — | 1480 |
Multimodal Not comparable
GPT-5.2 Pro: —, Muse Spark 1.1: 41.9 (#28)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1292 |
| LMArena Document | — | 1465 |
Multilingual Not comparable
GPT-5.2 Pro: —, Muse Spark 1.1: 56.8 (#16)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | — | 1471 |
| LMArena Chinese | — | 1518 |
| LMArena French | — | 1494 |
| LMArena German | — | 1466 |
| LMArena Japanese | — | 1445 |
| LMArena Korean | — | 1459 |
| LMArena Russian | — | 1482 |
| LMArena Spanish | — | 1471 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Muse Spark 1.1: 76.8 (#36)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | — | 1457 |
Long Context Not comparable
GPT-5.2 Pro: —, Muse Spark 1.1: 44.8 (#55)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | — | 1463 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Muse Spark 1.1: 73.6 (#11)
| Benchmark | GPT-5.2 Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | — | 1479 |
| LMArena Creative Writing | — | 1440 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |
| LMArena Multi-Turn | — | 1484 |
Frequently asked questions
Is GPT-5.2 Pro better than Muse Spark 1.1?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 49.9 on the Noometry Index. Muse Spark 1.1 costs 29× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Pro 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-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
Muse Spark 1.1 does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.2 Pro and Muse Spark 1.1 share?
2 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Muse Spark 1.1 has 36.