Model comparison
Gemini 2.5 Flash-Lite vs Muse Spark 1.2
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 11× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Google
MetaSummary
- They share 19 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and Muse Spark 1.2 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 22.2.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 94.7% for Muse Spark 1.2.
- 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 1.2.
Side by side
| Gemini 2.5 Flash-Lite | Muse Spark 1.2 | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.0 | 50.3 |
| Released | 2025-06-17 | 2026-08-05 |
| 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 | 31 |
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Category by category
Coding Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Muse Spark 1.2: 49.2 (#51)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| WeirdML | 35.2% | 60.3% |
| LMArena Coding | 1373 | 1495 |
| DeepSWE | — | 54.9% |
| LMArena WebDev | — | 1533 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Muse Spark 1.2: 29.4 (#87)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
| GDP.pdf | — | 16% |
Reasoning Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Muse Spark 1.2: 51.3 (#34)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1486 |
| DTBench | 62.8% | 94.7% |
| LMCA | 18.1% | 48.4% |
| Epoch Capabilities Index | 133.94 | 154.87 |
| SimpleBench | — | 74.5% |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
Math Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Muse Spark 1.2: 46.4 (#70)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| LMArena Math | 1373 | 1471 |
| ProofBench | — | 43% |
| Omni-MATH | 48% | — |
Knowledge Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Muse Spark 1.2: 54.1 (#53)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1373 | 1480 |
| SimpleQA Verified | — | 60.3% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Muse Spark 1.2: 43.4 (#25)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1198 | 1305 |
| VPCT | 30% | — |
Multilingual Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Muse Spark 1.2: 57.1 (#11)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1369 | 1478 |
| LMArena Chinese | 1404 | 1511 |
| LMArena French | 1388 | 1513 |
| LMArena Russian | 1373 | 1487 |
| LMArena Spanish | 1396 | 1498 |
| LMArena German | 1389 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
Instruction Following Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Muse Spark 1.2: 76.7 (#36)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1461 |
| IFEval | 81% | — |
Long Context Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Muse Spark 1.2: 45.2 (#48)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1373 | 1475 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Muse Spark 1.2 leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Muse Spark 1.2: 72.3 (#14)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1379 | 1482 |
| LMArena Creative Writing | 1367 | 1449 |
| LMArena Multi-Turn | 1366 | 1494 |
| EQ-Bench Creative Writing | — | 1840 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Muse Spark 1.2?
Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 11× 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-Lite or Muse Spark 1.2?
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 1.2 lists at $1.25 and $4.25.
Is Gemini 2.5 Flash-Lite or Muse Spark 1.2 better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 38.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 2.5 Flash-Lite and Muse Spark 1.2 share?
19 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Muse Spark 1.2 has 31.