Model comparison
Gemini 2.5 Flash vs Muse Spark 1.2
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 39.3 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.
Last verified . 22 shared benchmarks.
Google
MetaSummary
- They share 22 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 51.3 to 18.1.
- 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.
Side by side
| Gemini 2.5 Flash | Muse Spark 1.2 | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 39.3 | 50.3 |
| Released | 2025-04-17 | 2026-08-05 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.30 | $1.25 |
| Output $ / M tokens | $2.50 | $4.25 |
| Results tracked | 54 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.2 leads
Gemini 2.5 Flash: 35.8 (#220), Muse Spark 1.2: 49.2 (#51)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| WeirdML | 41.9% | 60.3% |
| LMArena Coding | 1424 | 1495 |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1533 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Gemini 2.5 Flash leads
Gemini 2.5 Flash: 30.8 (#74), Muse Spark 1.2: 29.4 (#87)
| 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 Muse Spark 1.2 leads
Gemini 2.5 Flash: 18.1 (#286), Muse Spark 1.2: 51.3 (#34)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| SimpleBench | 41.2% | 74.5% |
| CritPt | 1.1% | 17.7% |
| LMArena Hard Prompts | 1422 | 1486 |
| DTBench | 76.5% | 94.7% |
| LMCA | 27.5% | 48.4% |
| Epoch Capabilities Index | 143.03 | 154.87 |
| 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 Muse Spark 1.2 leads
Gemini 2.5 Flash: 39.9 (#98), Muse Spark 1.2: 46.4 (#70)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Math | 1415 | 1471 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| ProofBench | — | 43% |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Muse Spark 1.2 leads
Gemini 2.5 Flash: 36.4 (#168), Muse Spark 1.2: 54.1 (#53)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1426 | 1480 |
| 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 Muse Spark 1.2 leads
Gemini 2.5 Flash: 41.8 (#32), Muse Spark 1.2: 43.4 (#25)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1253 | 1305 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Muse Spark 1.2 leads
Gemini 2.5 Flash: 52.3 (#88), Muse Spark 1.2: 57.1 (#11)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1409 | 1478 |
| LMArena Chinese | 1450 | 1511 |
| LMArena French | 1433 | 1513 |
| LMArena Russian | 1415 | 1487 |
| LMArena Spanish | 1421 | 1498 |
| LMArena German | 1418 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1385 | — |
Instruction Following Muse Spark 1.2 leads
Gemini 2.5 Flash: 75.7 (#54), Muse Spark 1.2: 76.7 (#36)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1461 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Muse Spark 1.2: 45.2 (#48)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1419 | 1475 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Muse Spark 1.2 leads
Gemini 2.5 Flash: 53.8 (#157), Muse Spark 1.2: 72.3 (#14)
| Benchmark | Gemini 2.5 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1417 | 1482 |
| LMArena Creative Writing | 1400 | 1449 |
| EQ-Bench Creative Writing | 1137 | 1840 |
| LMArena Multi-Turn | 1408 | 1494 |
| Short-Story Creative Writing | 76.5% | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Muse Spark 1.2?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 39.3 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: 49.2 versus 35.8 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?
22 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Muse Spark 1.2 has 31.