Model comparison
Gemini 1.5 Pro (May 2024) vs Gemma 3 27B
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 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 Pro (May 2024) scores higher in 4 categories and Gemma 3 27B in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 1.5 Pro (May 2024) leads 39.8 to 27.6.
- The biggest single-benchmark swing is Confabulations: 13.5% for Gemini 1.5 Pro (May 2024) and 40.3% for Gemma 3 27B.
- Gemma 3 27B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Gemma 3 27B | |
|---|---|---|
| Provider | ||
| Noometry Index | 32.1 | 30.8 |
| Released | 2024-02-15 | 2025-03-11 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.08 |
| Output $ / M tokens | — | $0.16 |
| Results tracked | 45 | 43 |
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Category by category
Coding Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Gemma 3 27B: 22.5 (#334)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Coding | 1294 | 1322 |
| Aider Polyglot | — | 4.9% |
| SciCode | — | 21.2% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| LiveBench Coding | — | 39.9% |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Gemma 3 27B leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), Gemma 3 27B: 25.1 (#110)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 29.5% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Gemma 3 27B leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Gemma 3 27B: 16.7 (#301)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1340 |
| DTBench | 59% | 52.5% |
| Epoch Capabilities Index | 131.73 | 130.04 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 40.4% |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 43.8% |
| LiveBench Data Analysis | — | 51.5% |
| LMCA | — | 12.3% |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
| LiveBench | — | 50% |
Math Too close to call
Gemini 1.5 Pro (May 2024): 25.8 (#266), Gemma 3 27B: 25.9 (#265)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 22.5% |
| LMArena Math | 1315 | 1312 |
| MATH Level 5 | 70.4% | 74% |
| Omni-MATH | 36.4% | — |
| LiveBench Math | — | 55.4% |
Knowledge Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Gemma 3 27B: 25.5 (#261)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| GPQA Diamond | 57.2% | 47.7% |
| Confabulations | 13.5% | 40.3% |
| LMArena Expert | 1279 | 1304 |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Vectara Hallucination Rate | — | 7.4% |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 36.8 (#77), Gemma 3 27B: 32.6 (#100)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Vision | 1161 | 1164 |
| Video-MME | 75% | — |
| GeoBench | — | 52% |
Multilingual Gemma 3 27B leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), Gemma 3 27B: 46.9 (#155)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Non-English | 1312 | 1334 |
| LMArena Chinese | 1331 | 1346 |
| LMArena French | 1302 | 1368 |
| LMArena German | 1286 | 1362 |
| LMArena Japanese | 1292 | 1287 |
| LMArena Korean | 1298 | 1308 |
| LMArena Russian | 1320 | 1349 |
| LMArena Spanish | 1311 | 1349 |
Instruction Following Gemma 3 27B leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), Gemma 3 27B: 70.6 (#160)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1321 |
| LiveBench Instruction Following | — | 74.9% |
| IFEval | 83.7% | — |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), Gemma 3 27B: 27.6 (#293)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Longer Query | 1308 | 1333 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Too close to call
Gemini 1.5 Pro (May 2024): 52.4 (#172), Gemma 3 27B: 52.5 (#168)
| Benchmark | Gemini 1.5 Pro (May 2024) | Gemma 3 27B |
|---|---|---|
| LMArena Text | 1319 | 1358 |
| LMArena Creative Writing | 1333 | 1346 |
| LMArena Multi-Turn | 1296 | 1345 |
| Short-Story Creative Writing | — | 79.9% |
| EQ-Bench Creative Writing | — | 1266 |
| WildBench | 81.3% | — |
| LiveBench Language | — | 34.6% |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Gemma 3 27B?
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 30.8 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Gemma 3 27B better for coding?
Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 34.2 versus 22.5 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Gemma 3 27B share?
24 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Gemma 3 27B has 43.