Model comparison
Gemini 2.5 Flash-Lite vs Gemma 3 4B
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.1 on the Noometry Index. Gemma 3 4B costs 3.5× less per token, which makes it the better buy when Gemini 2.5 Flash-Lite's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Gemma 3 4B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 16.8.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 36.9% for Gemini 2.5 Flash-Lite and 19.6% for Gemma 3 4B.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.10 / $0.40 for Gemini 2.5 Flash-Lite.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
- Gemma 3 4B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Gemma 3 4B | |
|---|---|---|
| Provider | ||
| Noometry Index | 37.0 | 28.1 |
| Released | 2025-06-17 | 2025-03-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 4K |
| Input $ / M tokens | $0.10 | $0.04 |
| Output $ / M tokens | $0.40 | $0.08 |
| Results tracked | 33 | 22 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Gemma 3 4B: 35.9 (#215)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Coding | 1373 | 1230 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Gemma 3 4B: 20.9 (#142)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | 19.6% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Gemma 3 4B: 13.2 (#335)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 25.2% |
| LMArena Hard Prompts | 1377 | 1253 |
| DTBench | 62.8% | 50.9% |
| LMCA | 18.1% | 2.8% |
| Epoch Capabilities Index | 133.94 | 116.02 |
| Chess Puzzles | — | 0% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Gemma 3 4B: 16.8 (#292)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Math | 1373 | 1239 |
| OTIS Mock AIME 2024-2025 | — | 7.5% |
| Omni-MATH | 48% | — |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Gemma 3 4B: 11.8 (#299)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| Vectara Hallucination Rate | 3.3% | 6.4% |
| LMArena Expert | 1373 | 1223 |
| GPQA Diamond | — | 23.2% |
| MMLU-Pro | 53.7% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Gemma 3 4B: —
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Gemma 3 4B: 42.5 (#194)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Non-English | 1369 | 1273 |
| LMArena German | 1389 | 1281 |
| LMArena Russian | 1373 | 1294 |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Gemma 3 4B: 65.2 (#225)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1239 |
| IFEval | 81% | — |
Long Context Gemma 3 4B leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Gemma 3 4B: 38.7 (#194)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Longer Query | 1373 | 1273 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Gemma 3 4B: 42.0 (#239)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 3 4B |
|---|---|---|
| LMArena Text | 1379 | 1291 |
| LMArena Creative Writing | 1367 | 1271 |
| LMArena Multi-Turn | 1366 | 1255 |
| EQ-Bench Creative Writing | — | 1068 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Gemma 3 4B?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.1 on the Noometry Index. Gemma 3 4B costs 3.5× less per token, which makes it the better buy when Gemini 2.5 Flash-Lite's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Gemma 3 4B?
Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.
Is Gemini 2.5 Flash-Lite or Gemma 3 4B better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 35.9 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 2.5 Flash-Lite and Gemma 3 4B share?
18 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Gemma 3 4B has 22.