# GPT-4.1 mini vs Muse Spark 1.2

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 33.5 on the Noometry Index. GPT-4.1 mini costs 2.9× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Muse Spark 1.2 in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 10.9.
- The biggest single-benchmark swing is SimpleQA Verified: 12.7% for GPT-4.1 mini and 60.3% for Muse Spark 1.2.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 33.5 | 49.8 |
| Rank | 232 | 44 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.40 | $1.25 |
| Output $/M | $1.60 | $4.25 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1 mini: 30.4 (#286)
- Muse Spark 1.2: 48.6 (#49)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| SciCode | 40.4% | 56.4% |
| WeirdML | 37.6% | 60.3% |
| LMArena Coding | 1367 | 1497 |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |

## Agentic & Tool Use

- GPT-4.1 mini: 33.0 (#52)
- Muse Spark 1.2: 29.5 (#77)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| Berkeley Function Calling Leaderboard | 50.5% | — |
| GDP.pdf | — | 16% |

## Reasoning

- GPT-4.1 mini: 10.9 (#335)
- Muse Spark 1.2: 50.4 (#32)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| CritPt | 0% | 17.7% |
| LMArena Hard Prompts | 1349 | 1490 |
| DTBench | 68.8% | 94.7% |
| LMCA | 21.1% | 48.4% |
| Epoch Capabilities Index | 135.01 | 155.18 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | — | 74.5% |
| Kagi LLM Benchmark | 48.6% | — |
| NYT Connections (extended) | — | 79.2% |
| ARC-AGI-1 | 3.5% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |

## Math

- GPT-4.1 mini: 23.1 (#264)
- Muse Spark 1.2: 43.8 (#68)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| ProofBench | — | 43% |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |

## Knowledge

- GPT-4.1 mini: 34.7 (#183)
- Muse Spark 1.2: 53.9 (#49)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| SimpleQA Verified | 12.7% | 60.3% |
| LMArena Expert | 1338 | 1485 |
| GPQA Diamond | 65.8% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |

## Multimodal

- GPT-4.1 mini: 35.2 (#77)
- Muse Spark 1.2: 42.6 (#24)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1181 | 1304 |

## Multilingual

- GPT-4.1 mini: 45.9 (#161)
- Muse Spark 1.2: 57.4 (#10)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1318 | 1479 |
| LMArena Chinese | 1329 | 1519 |
| LMArena Russian | 1324 | 1494 |
| LMArena French | 1357 | — |
| LMArena German | 1349 | — |
| LMArena Japanese | 1291 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1319 | — |

## Instruction Following

- GPT-4.1 mini: 73.9 (#113)
- Muse Spark 1.2: 77.1 (#30)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1332 | 1466 |
| IFEval | 90.4% | — |

## Long Context

- GPT-4.1 mini: 31.8 (#270)
- Muse Spark 1.2: 45.4 (#35)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1344 | 1483 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- GPT-4.1 mini: 48.8 (#193)
- Muse Spark 1.2: 72.6 (#14)

| Benchmark | GPT-4.1 mini | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1341 | 1486 |
| LMArena Creative Writing | 1300 | 1444 |
| EQ-Bench Creative Writing | 1147 | 1840 |
| LMArena Multi-Turn | 1354 | 1504 |
| WildBench | 83.8% | — |

## FAQ

### Is GPT-4.1 mini better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 33.5 on the Noometry Index. GPT-4.1 mini costs 2.9× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

### Which is cheaper, GPT-4.1 mini or Muse Spark 1.2?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

### Is GPT-4.1 mini or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 30.4 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do GPT-4.1 mini and Muse Spark 1.2 share?

20 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Muse Spark 1.2 has 28.