Model comparison
Gemini 3.7 Flash vs Muse Spark 1.1
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 49.9 on the Noometry Index.
Last verified . 31 shared benchmarks.
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MetaSummary
- They share 31 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Muse Spark 1.1 in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 3.7 Flash leads 69.6 to 45.5.
- The biggest single-benchmark swing is APEX-Agents: 67.8% for Gemini 3.7 Flash and 31.8% for Muse Spark 1.1.
- Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
Side by side
| Gemini 3.7 Flash | Muse Spark 1.1 | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 59.8 | 49.9 |
| Released | 2026-08-13 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.75 | $1.25 |
| Output $ / M tokens | $3.75 | $4.25 |
| Results tracked | 44 | 37 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), Muse Spark 1.1: 51.3 (#40)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| DeepSWE | 65.5% | 53.3% |
| LMArena WebDev | 1592 | 1542 |
| SciCode | 59.8% | 58.8% |
| LMArena Coding | 1497 | 1498 |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |
| ALE-Bench | 904.3 | — |
Agentic & Tool Use Gemini 3.7 Flash leads
Gemini 3.7 Flash: 42.1 (#19), Muse Spark 1.1: 30.8 (#73)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | 67.8% | 31.8% |
| GDP.pdf | 23.8% | 15% |
| Remote Labor Index | 5% | — |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), Muse Spark 1.1: 47.1 (#44)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| NYT Connections (extended) | 94% | 84.9% |
| CritPt | 14.3% | 15.1% |
| LMArena Hard Prompts | 1494 | 1486 |
| DTBench | 96.8% | 94.4% |
| LMCA | 50.4% | 49.9% |
| Epoch Capabilities Index | 157.27 | 154.21 |
| ARC-AGI-2 | 84.6% | — |
| ARC-AGI-1 | 95.5% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 37% | — |
| Surface Evolver Bench | — | 52.5% |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.6 (#23), Muse Spark 1.1: 45.5 (#76)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| ProofBench | 58% | 39% |
| LMArena Math | 1507 | 1483 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), Muse Spark 1.1: 53.1 (#59)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| SimpleQA Verified | 69.2% | 57.8% |
| LMArena Expert | 1508 | 1478 |
| GPQA Diamond | 94.8% | — |
Multimodal Muse Spark 1.1 leads
Gemini 3.7 Flash: 37.3 (#73), Muse Spark 1.1: 42.6 (#29)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | 1316 | 1293 |
| Furniture Assembly | 26.7% | — |
| LMArena Document | — | 1465 |
Multilingual Too close to call
Gemini 3.7 Flash: 57.6 (#7), Muse Spark 1.1: 56.7 (#17)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1484 | 1472 |
| LMArena Chinese | 1548 | 1518 |
| LMArena French | 1505 | 1494 |
| LMArena German | 1498 | 1466 |
| LMArena Japanese | 1512 | 1451 |
| LMArena Korean | 1483 | 1458 |
| LMArena Russian | 1516 | 1483 |
| LMArena Spanish | 1503 | 1464 |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 77.7 (#15), Muse Spark 1.1: 76.5 (#39)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1483 | 1457 |
Long Context Too close to call
Gemini 3.7 Flash: 45.7 (#30), Muse Spark 1.1: 44.8 (#58)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1492 | 1462 |
Writing & Preference Muse Spark 1.1 leads
Gemini 3.7 Flash: 71.2 (#20), Muse Spark 1.1: 73.4 (#11)
| Benchmark | Gemini 3.7 Flash | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1486 | 1479 |
| LMArena Creative Writing | 1490 | 1437 |
| EQ-Bench Creative Writing | 1723 | 1927 |
| LMArena Multi-Turn | 1489 | 1485 |
| EQ-Bench 4 | — | 1260 |
Frequently asked questions
Is Gemini 3.7 Flash better than Muse Spark 1.1?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 49.9 on the Noometry Index.
Which is cheaper, Gemini 3.7 Flash or Muse Spark 1.1?
Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.
Is Gemini 3.7 Flash or Muse Spark 1.1 better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 51.3 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 3.7 Flash and Muse Spark 1.1 share?
31 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Muse Spark 1.1 has 37.