Model comparison
Gemini 2.5 Flash-Lite vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 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 1.3's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Google
MetaSummary
- They share 21 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and Muse Spark 1.3 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 38.0.
- The biggest single-benchmark swing is LMCA: 18.1% for Gemini 2.5 Flash-Lite and 53.9% for Muse Spark 1.3.
- 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 1.3.
Side by side
| Gemini 2.5 Flash-Lite | Muse Spark 1.3 | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.0 | 54.8 |
| Released | 2025-06-17 | 2026-09-02 |
| 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 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Muse Spark 1.3: 56.6 (#21)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1373 | 1514 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Muse Spark 1.3: 38.6 (#30)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1503 |
| DTBench | 62.8% | 96.5% |
| LMCA | 18.1% | 53.9% |
| Epoch Capabilities Index | 133.94 | 156.75 |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| Mystery Game Puzzles | — | 25% |
| Bench to the Future 3 | — | 0.14 |
Math Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Math | 1373 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
| Omni-MATH | 48% | — |
Knowledge Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Muse Spark 1.3: 42.6 (#95)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1373 | 1516 |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Muse Spark 1.3: 43.7 (#22)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | 1198 | 1309 |
| VPCT | 30% | — |
| LMArena Document | — | 1471 |
Multilingual Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Muse Spark 1.3: 57.4 (#8)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1369 | 1481 |
| LMArena Chinese | 1404 | 1529 |
| LMArena French | 1388 | 1524 |
| LMArena German | 1389 | 1515 |
| LMArena Japanese | 1359 | 1474 |
| LMArena Korean | 1360 | 1501 |
| LMArena Russian | 1373 | 1490 |
| LMArena Spanish | 1396 | 1490 |
Instruction Following Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Muse Spark 1.3: 77.5 (#22)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1477 |
| IFEval | 81% | — |
Long Context Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Muse Spark 1.3: 45.6 (#32)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1373 | 1488 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Muse Spark 1.3 leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Gemini 2.5 Flash-Lite | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1379 | 1490 |
| LMArena Creative Writing | 1367 | 1455 |
| LMArena Multi-Turn | 1366 | 1482 |
| EQ-Bench Creative Writing | — | 1906 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 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 1.3's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Muse Spark 1.3?
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 1.3 lists at $1.25 and $4.25.
Is Gemini 2.5 Flash-Lite or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 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 1.3 share?
21 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Muse Spark 1.3 has 37.