# GPT-4o vs Muse Spark 1.2

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4o-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. GPT-4o scores higher in 0 categories and Muse Spark 1.2 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 9.4.
- The biggest single-benchmark swing is SimpleBench: 17.8% for GPT-4o and 74.5% for Muse Spark 1.2.
- Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 128K.

## Snapshot

| | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 28.5 | 49.8 |
| Rank | 316 | 44 |
| Context | 128K | 1.05M |
| Input $/M | $2.50 | $1.25 |
| Output $/M | $10 | $4.25 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4o: 25.1 (#323)
- Muse Spark 1.2: 48.6 (#49)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| WeirdML | 25.1% | 60.3% |
| LMArena Coding | 1297 | 1497 |
| SWE-bench Verified | 31% | — |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 21.6% | — |
| Aider Polyglot | 45.3% | — |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| GSO | 0% | — |
| BigCodeBench Instruct | 51.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 61.1% | — |
| CadEval | 26% | — |
| HumanEval+ | 87.2% | — |
| MBPP+ | 72.2% | — |

## Agentic & Tool Use

- GPT-4o: 20.8 (#133)
- Muse Spark 1.2: 29.5 (#77)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| GDPval | 9.9% | — |
| TheAgentCompany | 8.6% | — |
| Cybench | 12.5% | — |
| BALROG | 32.3% | — |
| GDP.pdf | — | 16% |
| LMArena Search | 1006 | — |
| METR Time Horizons | 40.8% | — |

## Reasoning

- GPT-4o: 9.4 (#338)
- Muse Spark 1.2: 50.4 (#32)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| SimpleBench | 17.8% | 74.5% |
| CritPt | 0% | 17.7% |
| LMArena Hard Prompts | 1281 | 1490 |
| DTBench | 64.5% | 94.7% |
| LMCA | 16.6% | 48.4% |
| Epoch Capabilities Index | 128.97 | 155.18 |
| ARC-AGI-2 | 0% | — |
| NYT Connections (extended) | — | 79.2% |
| ARC-AGI-1 | 4.5% | — |
| Chess Puzzles | 13% | — |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 55.8% | — |
| LiveBench Data Analysis | 60.9% | — |
| ForecastBench | 57.7 | — |
| LiveBench | 55.3% | — |

## Math

- GPT-4o: 10.2 (#303)
- Muse Spark 1.2: 43.8 (#68)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.4% | — |
| OTIS Mock AIME 2024-2025 | 6.4% | — |
| ProofBench | — | 43% |
| Omni-MATH | 29.3% | — |
| LiveBench Math | 49.5% | — |
| LMArena Math | 1285 | — |
| MATH Level 5 | 53.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- GPT-4o: 28.8 (#235)
- Muse Spark 1.2: 53.9 (#49)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| SimpleQA Verified | 26% | 60.3% |
| LMArena Expert | 1250 | 1485 |
| GPQA Diamond | 49.2% | — |
| Humanity's Last Exam | 2.7% | — |
| MMLU-Pro | 71.3% | — |
| Confabulations | 15.3% | — |
| Vectara Hallucination Rate | 9.6% | — |
| GPQA (HELM) | 52% | — |
| MMLU | 88.1% | — |

## Multimodal

- GPT-4o: 33.9 (#85)
- Muse Spark 1.2: 42.6 (#24)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1137 | 1304 |
| Video-MME | 71.9% | — |
| GeoBench | 71% | — |
| VPCT | 40% | — |
| ScienceQA | 88.5% | — |

## Multilingual

- GPT-4o: 43.4 (#181)
- Muse Spark 1.2: 57.4 (#10)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1283 | 1479 |
| LMArena Chinese | 1277 | 1519 |
| LMArena Russian | 1286 | 1494 |
| LMArena French | 1303 | — |
| LMArena German | 1282 | — |
| LMArena Japanese | 1257 | — |
| LMArena Korean | 1234 | — |
| LMArena Spanish | 1292 | — |

## Instruction Following

- GPT-4o: 66.8 (#202)
- Muse Spark 1.2: 77.1 (#30)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1278 | 1466 |
| LiveBench Instruction Following | 68.6% | — |
| IFEval | 81.7% | — |

## Long Context

- GPT-4o: 39.4 (#174)
- Muse Spark 1.2: 45.4 (#35)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1289 | 1483 |
| Fiction.LiveBench | 66.7% | — |

## Writing & Preference

- GPT-4o: 52.8 (#160)
- Muse Spark 1.2: 72.6 (#14)

| Benchmark | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1300 | 1486 |
| LMArena Creative Writing | 1291 | 1444 |
| LMArena Multi-Turn | 1302 | 1504 |
| Short-Story Creative Writing | 81.8% | — |
| EQ-Bench Creative Writing | — | 1840 |
| WildBench | 82.8% | — |
| LiveBench Language | 47.6% | — |

## FAQ

### Is GPT-4o better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 28.5 on the Noometry Index.

### Which is cheaper, GPT-4o 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-4o lists at $2.50 and $10.

### Is GPT-4o or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 25.1 in the Noometry coding category.

### Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 128K.

### How many benchmarks do GPT-4o and Muse Spark 1.2 share?

19 benchmarks have published results for both models. GPT-4o has 72 scored results on Noometry and Muse Spark 1.2 has 28.