Model comparison
Gemini 2.5 Flash-Lite vs Gemma 2 27B
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.4 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and Gemma 2 27B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 10.7.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 48% for Gemma 2 27B.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.65 / $0.65 for Gemma 2 27B.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Gemma 2 27B | |
|---|---|---|
| Provider | ||
| Noometry Index | 37.0 | 29.4 |
| Released | 2025-06-17 | 2024-06-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 8K |
| Max output | 66K | 2K |
| Input $ / M tokens | $0.10 | $0.65 |
| Output $ / M tokens | $0.40 | $0.65 |
| Results tracked | 33 | 34 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Gemma 2 27B: 34.1 (#246)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Coding | 1373 | 1211 |
| WeirdML | 35.2% | — |
| BigCodeBench Instruct | — | 42.8% |
| LiveBench Coding | — | 36% |
| BigCodeBench Complete | — | 52.5% |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Gemma 2 27B: —
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Gemma 2 27B: 15.3 (#315)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1198 |
| DTBench | 62.8% | 48% |
| LMCA | 18.1% | 7.1% |
| Epoch Capabilities Index | 133.94 | 122.08 |
| Kagi LLM Benchmark | 40.5% | — |
| LiveBench Reasoning | — | 28.1% |
| LiveBench Data Analysis | — | 47.9% |
| LiveBench | — | 38.2% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Gemma 2 27B: 10.7 (#311)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Math | 1373 | 1212 |
| OTIS Mock AIME 2024-2025 | — | 1.4% |
| Omni-MATH | 48% | — |
| LiveBench Math | — | 26.5% |
| MATH Level 5 | — | 27.9% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Gemma 2 27B: 19.0 (#280)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Expert | 1373 | 1172 |
| GPQA Diamond | — | 36.5% |
| MMLU-Pro | 53.7% | — |
| Confabulations | — | 27.1% |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| MMLU | — | 75.7% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Gemma 2 27B: —
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Gemma 2 27B: 38.6 (#226)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Non-English | 1369 | 1217 |
| LMArena Chinese | 1404 | 1221 |
| LMArena French | 1388 | 1247 |
| LMArena German | 1389 | 1209 |
| LMArena Japanese | 1359 | 1175 |
| LMArena Korean | 1360 | 1174 |
| LMArena Russian | 1373 | 1234 |
| LMArena Spanish | 1396 | 1228 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Gemma 2 27B: 60.5 (#249)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1206 |
| LiveBench Instruction Following | — | 58.1% |
| IFEval | 81% | — |
Long Context Gemma 2 27B leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Gemma 2 27B: 37.3 (#218)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Longer Query | 1373 | 1231 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Gemma 2 27B: 44.2 (#225)
| Benchmark | Gemini 2.5 Flash-Lite | Gemma 2 27B |
|---|---|---|
| LMArena Text | 1379 | 1231 |
| LMArena Creative Writing | 1367 | 1241 |
| LMArena Multi-Turn | 1366 | 1224 |
| WildBench | 81.8% | — |
| LiveBench Language | — | 32.6% |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Gemma 2 27B?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.4 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Gemma 2 27B?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Gemma 2 27B lists at $0.65 and $0.65.
Is Gemini 2.5 Flash-Lite or Gemma 2 27B better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 8K.
How many benchmarks do Gemini 2.5 Flash-Lite and Gemma 2 27B share?
20 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Gemma 2 27B has 34.