Model comparison
Gemini 1.5 Flash (May 2024) vs Gemma 3 27B
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 30.8 on the Noometry Index.
Last verified . 24 shared benchmarks.
GoogleSummary
- They share 24 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 6 categories and Gemma 3 27B in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where Gemini 1.5 Flash (May 2024) leads 34.4 to 22.5.
- The biggest single-benchmark swing is GeoBench: 76% for Gemini 1.5 Flash (May 2024) and 52% for Gemma 3 27B.
- Gemma 3 27B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Gemma 3 27B | |
|---|---|---|
| Provider | ||
| Noometry Index | 33.2 | 30.8 |
| Released | 2024-05-14 | 2025-03-11 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.08 |
| Output $ / M tokens | — | $0.16 |
| Results tracked | 42 | 43 |
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Category by category
Coding Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), Gemma 3 27B: 22.5 (#334)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Coding | 1261 | 1322 |
| Aider Polyglot | — | 4.9% |
| SciCode | — | 21.2% |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| LiveBench Coding | — | 39.9% |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), Gemma 3 27B: 25.1 (#110)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 29.5% |
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), Gemma 3 27B: 16.7 (#301)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1340 |
| DTBench | 53.8% | 52.5% |
| Epoch Capabilities Index | 129.36 | 130.04 |
| Kagi LLM Benchmark | — | 40.4% |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 43.8% |
| LiveBench Data Analysis | — | 51.5% |
| LMCA | — | 12.3% |
| ForecastBench | 53.9 | — |
| LiveBench | — | 50% |
| PIQA | 87.5% | — |
Math Gemma 3 27B leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Gemma 3 27B: 25.9 (#265)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 22.5% |
| LMArena Math | 1269 | 1312 |
| MATH Level 5 | 61.9% | 74% |
| Omni-MATH | 30.4% | — |
| LiveBench Math | — | 55.4% |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Too close to call
Gemini 1.5 Flash (May 2024): 26.2 (#260), Gemma 3 27B: 25.5 (#261)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| GPQA Diamond | 47.3% | 47.7% |
| LMArena Expert | 1233 | 1304 |
| MMLU-Pro | 67.8% | — |
| Confabulations | — | 40.3% |
| Vectara Hallucination Rate | — | 7.4% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 36.0 (#81), Gemma 3 27B: 32.6 (#100)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Vision | 1141 | 1164 |
| GeoBench | 76% | 52% |
| Video-MME | 70.3% | — |
Multilingual Gemma 3 27B leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), Gemma 3 27B: 46.9 (#155)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Non-English | 1278 | 1334 |
| LMArena Chinese | 1295 | 1346 |
| LMArena French | 1258 | 1368 |
| LMArena German | 1262 | 1362 |
| LMArena Japanese | 1252 | 1287 |
| LMArena Korean | 1221 | 1308 |
| LMArena Russian | 1288 | 1349 |
| LMArena Spanish | 1243 | 1349 |
Instruction Following Gemma 3 27B leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Gemma 3 27B: 70.6 (#160)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1321 |
| LiveBench Instruction Following | — | 74.9% |
| IFEval | 83.1% | — |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), Gemma 3 27B: 27.6 (#293)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Longer Query | 1284 | 1333 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Gemma 3 27B leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Gemma 3 27B: 52.5 (#168)
| Benchmark | Gemini 1.5 Flash (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Text | 1287 | 1358 |
| LMArena Creative Writing | 1285 | 1346 |
| LMArena Multi-Turn | 1253 | 1345 |
| Short-Story Creative Writing | — | 79.9% |
| EQ-Bench Creative Writing | — | 1266 |
| WildBench | 79.2% | — |
| LiveBench Language | — | 34.6% |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Gemma 3 27B?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 30.8 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Gemma 3 27B better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 22.5 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Gemma 3 27B share?
24 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Gemma 3 27B has 43.