Model comparison
Gemma 2 27B vs Muse Spark 1.2
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 29.4 on the Noometry Index. Gemma 2 27B costs 3.1× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
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MetaSummary
- They share 17 benchmarks with published results for both. Gemma 2 27B scores higher in 0 categories and Muse Spark 1.2 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 15.3.
- The biggest single-benchmark swing is DTBench: 48% for Gemma 2 27B and 94.7% for Muse Spark 1.2.
- Gemma 2 27B is cheaper at $0.65 / $0.65 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 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 27B | Muse Spark 1.2 | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 29.4 | 50.3 |
| Released | 2024-06-24 | 2026-08-05 |
| Weights | Open | Proprietary |
| Context window | 8K | 1.05M |
| Max output | 2K | 131K |
| Input $ / M tokens | $0.65 | $1.25 |
| Output $ / M tokens | $0.65 | $4.25 |
| Results tracked | 34 | 31 |
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Category by category
Coding Muse Spark 1.2 leads
Gemma 2 27B: 34.1 (#246), Muse Spark 1.2: 49.2 (#51)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Coding | 1211 | 1495 |
| DeepSWE | — | 54.9% |
| LMArena WebDev | — | 1533 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
Agentic & Tool Use Not comparable
Gemma 2 27B: —, Muse Spark 1.2: 29.4 (#87)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| GDP.pdf | — | 16% |
Reasoning Muse Spark 1.2 leads
Gemma 2 27B: 15.3 (#315), Muse Spark 1.2: 51.3 (#34)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Hard Prompts | 1198 | 1486 |
| DTBench | 48% | 94.7% |
| LMCA | 7.1% | 48.4% |
| Epoch Capabilities Index | 122.08 | 154.87 |
| SimpleBench | — | 74.5% |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
| LiveBench Reasoning | 28.1% | — |
| LiveBench Data Analysis | 47.9% | — |
| LiveBench | 38.2% | — |
Math Muse Spark 1.2 leads
Gemma 2 27B: 10.7 (#311), Muse Spark 1.2: 46.4 (#70)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Math | 1212 | 1471 |
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| ProofBench | — | 43% |
| LiveBench Math | 26.5% | — |
| MATH Level 5 | 27.9% | — |
Knowledge Muse Spark 1.2 leads
Gemma 2 27B: 19.0 (#280), Muse Spark 1.2: 54.1 (#53)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1172 | 1480 |
| GPQA Diamond | 36.5% | — |
| SimpleQA Verified | — | 60.3% |
| Confabulations | 27.1% | — |
| MMLU | 75.7% | — |
Multimodal Not comparable
Gemma 2 27B: —, Muse Spark 1.2: 43.4 (#25)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1305 |
Multilingual Muse Spark 1.2 leads
Gemma 2 27B: 38.6 (#226), Muse Spark 1.2: 57.1 (#11)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1217 | 1478 |
| LMArena Chinese | 1221 | 1511 |
| LMArena French | 1247 | 1513 |
| LMArena Russian | 1234 | 1487 |
| LMArena Spanish | 1228 | 1498 |
| LMArena German | 1209 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1174 | — |
Instruction Following Muse Spark 1.2 leads
Gemma 2 27B: 60.5 (#249), Muse Spark 1.2: 76.7 (#36)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1206 | 1461 |
| LiveBench Instruction Following | 58.1% | — |
Long Context Muse Spark 1.2 leads
Gemma 2 27B: 37.3 (#218), Muse Spark 1.2: 45.2 (#48)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1231 | 1475 |
Writing & Preference Muse Spark 1.2 leads
Gemma 2 27B: 44.2 (#225), Muse Spark 1.2: 72.3 (#14)
| Benchmark | Gemma 2 27B | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1231 | 1482 |
| LMArena Creative Writing | 1241 | 1449 |
| LMArena Multi-Turn | 1224 | 1494 |
| EQ-Bench Creative Writing | — | 1840 |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than Muse Spark 1.2?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 29.4 on the Noometry Index. Gemma 2 27B costs 3.1× 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, Gemma 2 27B or Muse Spark 1.2?
Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.
Is Gemma 2 27B or Muse Spark 1.2 better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.2 does, with 1.05M tokens against 8K.
How many benchmarks do Gemma 2 27B and Muse Spark 1.2 share?
17 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and Muse Spark 1.2 has 31.