# Gemini 3.1 Pro Preview vs Muse Spark 1.3

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 54.8 on the Noometry Index. Muse Spark 1.3 costs 2.3× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-muse-spark-1-3
- Last updated: 2026-10-10
- Shared benchmarks: 35

## Summary

- They share 35 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 3 categories and Muse Spark 1.3 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.1 Pro Preview leads 71.8 to 42.6.
- The biggest single-benchmark swing is ProofBench: 26% for Gemini 3.1 Pro Preview and 58% for Muse Spark 1.3.
- Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.

## Snapshot

| | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 56.7 | 54.8 |
| Rank | 23 | 27 |
| Context | 1.05M | 1.05M |
| Input $/M | $2 | $1.25 |
| Output $/M | $12 | $4.25 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.1 Pro Preview: 42.5 (#99)
- Muse Spark 1.3: 56.6 (#21)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| LMArena WebDev | 1447 | 1657 |
| SciCode | 58.9% | 59.7% |
| LMArena Coding | 1484 | 1514 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| CursorBench | — | 41.6% |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#34)
- Muse Spark 1.3: 38.6 (#30)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | 35.3% | 57.8% |
| GDP.pdf | 17% | 27.6% |
| Terminal-Bench | 80.2% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |

## Reasoning

- Gemini 3.1 Pro Preview: 71.7 (#12)
- Muse Spark 1.3: 54.0 (#27)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| NYT Connections (extended) | 97.4% | 85.1% |
| CritPt | 17.7% | 26% |
| Chess Puzzles | 55% | 38% |
| LMArena Hard Prompts | 1485 | 1503 |
| Mystery Game Puzzles | 34% | 25% |
| DTBench | 97.1% | 96.5% |
| LMCA | 53.8% | 53.9% |
| Epoch Capabilities Index | 154.77 | 156.75 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| ARC-AGI-1 | 98% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 59 | — |

## Math

- Gemini 3.1 Pro Preview: 62.1 (#34)
- Muse Spark 1.3: 73.1 (#21)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | 74.4% |
| FrontierMath Tier 4 | 26.8% | 46.3% |
| OTIS Mock AIME 2024-2025 | 95.6% | 99.2% |
| ProofBench | 26% | 58% |
| LMArena Math | 1485 | 1494 |
| MathArena Final-Answer Competitions | 86.5% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- Muse Spark 1.3: 42.6 (#95)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1485 | 1516 |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |

## Multimodal

- Gemini 3.1 Pro Preview: 37.9 (#69)
- Muse Spark 1.3: 43.7 (#22)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | 1296 | 1309 |
| LMArena Document | 1444 | 1471 |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.0 (#12)
- Muse Spark 1.3: 57.4 (#8)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1477 | 1481 |
| LMArena Chinese | 1529 | 1529 |
| LMArena French | 1487 | 1524 |
| LMArena German | 1491 | 1515 |
| LMArena Japanese | 1493 | 1474 |
| LMArena Korean | 1455 | 1501 |
| LMArena Russian | 1498 | 1490 |
| LMArena Spanish | 1479 | 1490 |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.0 (#32)
- Muse Spark 1.3: 77.5 (#22)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1466 | 1477 |

## Long Context

- Gemini 3.1 Pro Preview: 47.4 (#18)
- Muse Spark 1.3: 45.6 (#32)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1483 | 1488 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.1 (#37)
- Muse Spark 1.3: 73.6 (#9)

| Benchmark | Gemini 3.1 Pro Preview | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1481 | 1490 |
| LMArena Creative Writing | 1482 | 1455 |
| EQ-Bench Creative Writing | 1491 | 1906 |
| LMArena Multi-Turn | 1488 | 1482 |
| EQ-Bench 4 | 1142 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than Muse Spark 1.3?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 54.8 on the Noometry Index. Muse Spark 1.3 costs 2.3× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.1 Pro Preview 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; Gemini 3.1 Pro Preview lists at $2 and $12.

### Is Gemini 3.1 Pro Preview or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 42.5 in the Noometry coding category.

### Which has the bigger context window?

Both accept 1.05M tokens.

### How many benchmarks do Gemini 3.1 Pro Preview and Muse Spark 1.3 share?

35 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Muse Spark 1.3 has 37.