# Gemini 2.5 Flash vs Muse Spark 1.2

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 39.0 on the Noometry Index. Gemini 2.5 Flash costs 2.4× 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/gemini-2-5-flash-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 2 categories and Muse Spark 1.2 in 8 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 18.2.
- The biggest single-benchmark swing is SimpleBench: 41.2% for Gemini 2.5 Flash and 74.5% for Muse Spark 1.2.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.

## Snapshot

| | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 39.0 | 49.8 |
| Rank | 162 | 44 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.30 | $1.25 |
| Output $/M | $2.50 | $4.25 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.5 Flash: 35.5 (#210)
- Muse Spark 1.2: 48.6 (#49)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| WeirdML | 41.9% | 60.3% |
| LMArena Coding | 1424 | 1497 |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| ALE-Bench | 661.88 | — |

## Agentic & Tool Use

- Gemini 2.5 Flash: 30.6 (#67)
- Muse Spark 1.2: 29.5 (#77)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| APEX-Agents | — | 36.4% |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| GDP.pdf | — | 16% |
| Vending-Bench 2 | 548.84 | — |

## Reasoning

- Gemini 2.5 Flash: 18.2 (#271)
- Muse Spark 1.2: 50.4 (#32)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| SimpleBench | 41.2% | 74.5% |
| CritPt | 1.1% | 17.7% |
| LMArena Hard Prompts | 1422 | 1490 |
| DTBench | 76.5% | 94.7% |
| LMCA | 27.5% | 48.4% |
| Epoch Capabilities Index | 143.04 | 155.18 |
| ARC-AGI-2 | 2.5% | — |
| Kagi LLM Benchmark | 56.8% | — |
| NYT Connections (extended) | — | 79.2% |
| ARC-AGI-1 | 33.3% | — |
| EnigmaEval | 2.7% | — |
| ForecastBench | 60.6 | — |

## Math

- Gemini 2.5 Flash: 38.1 (#87)
- Muse Spark 1.2: 43.8 (#68)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| ProofBench | — | 43% |
| Omni-MATH | 38.5% | — |
| LMArena Math | 1415 | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Gemini 2.5 Flash: 36.1 (#162)
- Muse Spark 1.2: 53.9 (#49)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1426 | 1485 |
| Humanity's Last Exam | 12.1% | — |
| SimpleQA Verified | — | 60.3% |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |

## Multimodal

- Gemini 2.5 Flash: 41.2 (#31)
- Muse Spark 1.2: 42.6 (#24)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1254 | 1304 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |

## Multilingual

- Gemini 2.5 Flash: 52.5 (#83)
- Muse Spark 1.2: 57.4 (#10)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1410 | 1479 |
| LMArena Chinese | 1450 | 1519 |
| LMArena Russian | 1415 | 1494 |
| LMArena French | 1433 | — |
| LMArena German | 1419 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1385 | — |
| LMArena Spanish | 1421 | — |

## Instruction Following

- Gemini 2.5 Flash: 75.9 (#50)
- Muse Spark 1.2: 77.1 (#30)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1466 |
| IFEval | 89.8% | — |

## Long Context

- Gemini 2.5 Flash: 47.5 (#16)
- Muse Spark 1.2: 45.4 (#35)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1419 | 1483 |
| Fiction.LiveBench | 77.8% | — |

## Writing & Preference

- Gemini 2.5 Flash: 54.0 (#153)
- Muse Spark 1.2: 72.6 (#14)

| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1417 | 1486 |
| LMArena Creative Writing | 1400 | 1444 |
| EQ-Bench Creative Writing | 1137 | 1840 |
| LMArena Multi-Turn | 1408 | 1504 |
| Short-Story Creative Writing | 76.5% | — |
| WildBench | 81.7% | — |

## FAQ

### Is Gemini 2.5 Flash better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 39.0 on the Noometry Index. Gemini 2.5 Flash costs 2.4× 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, Gemini 2.5 Flash or Muse Spark 1.2?

Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

### Is Gemini 2.5 Flash or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 35.5 in the Noometry coding category.

### Which has the bigger context window?

Both accept 1.05M tokens.

### How many benchmarks do Gemini 2.5 Flash and Muse Spark 1.2 share?

19 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Muse Spark 1.2 has 28.