Model comparison
Gemini 2.5 Flash-Lite vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 11× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
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MetaSummary
- They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and Muse Spark 1.1 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.1 leads 45.9 to 21.5.
- The biggest single-benchmark swing is LMCA: 18.1% for Gemini 2.5 Flash-Lite and 49.9% for Muse Spark 1.1.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
Side by side
| Gemini 2.5 Flash-Lite | Muse Spark 1.1 | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 36.4 | 49.9 |
| Released | 2025-06-17 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.10 | $1.25 |
| Output $ / M tokens | $0.40 | $4.25 |
| Results tracked | 33 | 36 |
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Category by category
Coding Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 38.0 (#167), Muse Spark 1.1: 50.8 (#38)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Coding | 1373 | 1497 |
| DeepSWE | — | 53.3% |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 27.8 (#89), Muse Spark 1.1: 33.9 (#45)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 21.5 (#196), Muse Spark 1.1: 45.9 (#41)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1486 |
| DTBench | 62.8% | 94.4% |
| LMCA | 18.1% | 49.9% |
| Epoch Capabilities Index | 133.93 | 154.32 |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| Surface Evolver Bench | — | 52.5% |
Math Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 35.5 (#144), Muse Spark 1.1: 44.0 (#67)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1373 | 1477 |
| ProofBench | — | 39% |
| Omni-MATH | 48% | — |
Knowledge Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 32.1 (#206), Muse Spark 1.1: 52.8 (#55)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1373 | 1480 |
| SimpleQA Verified | — | 57.8% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 28.6 (#109), Muse Spark 1.1: 41.9 (#28)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | 1198 | 1292 |
| VPCT | 30% | — |
| LMArena Document | — | 1465 |
Multilingual Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 49.5 (#129), Muse Spark 1.1: 56.8 (#16)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1369 | 1471 |
| LMArena Chinese | 1404 | 1518 |
| LMArena French | 1388 | 1494 |
| LMArena German | 1390 | 1466 |
| LMArena Japanese | 1359 | 1445 |
| LMArena Korean | 1358 | 1459 |
| LMArena Russian | 1373 | 1482 |
| LMArena Spanish | 1396 | 1471 |
Instruction Following Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 70.2 (#163), Muse Spark 1.1: 76.8 (#36)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1366 | 1457 |
| IFEval | 81% | — |
Long Context Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 33.3 (#257), Muse Spark 1.1: 44.8 (#55)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1373 | 1463 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Muse Spark 1.1 leads
Gemini 2.5 Flash-Lite: 57.0 (#130), Muse Spark 1.1: 73.6 (#11)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1379 | 1479 |
| LMArena Creative Writing | 1366 | 1440 |
| LMArena Multi-Turn | 1367 | 1484 |
| EQ-Bench Creative Writing | — | 1927 |
| WildBench | 81.8% | — |
| EQ-Bench 4 | — | 1260 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 11× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Muse Spark 1.1?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.
Is Gemini 2.5 Flash-Lite or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 38.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 2.5 Flash-Lite and Muse Spark 1.1 share?
21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Muse Spark 1.1 has 36.