Model comparison
Gemini 2.5 Flash vs Gemma 2 27B
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 29.4 on the Noometry Index.
Last verified . 22 shared benchmarks.
GoogleSummary
- They share 22 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 8 categories and Gemma 2 27B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash leads 39.9 to 10.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.1% for Gemini 2.5 Flash and 1.4% for Gemma 2 27B.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash 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 | Gemma 2 27B | |
|---|---|---|
| Provider | ||
| Noometry Index | 39.3 | 29.4 |
| Released | 2025-04-17 | 2024-06-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 8K |
| Max output | 66K | 2K |
| Input $ / M tokens | $0.30 | $0.65 |
| Output $ / M tokens | $2.50 | $0.65 |
| Results tracked | 54 | 34 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.8 (#220), Gemma 2 27B: 34.1 (#246)
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Coding | 1424 | 1211 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| BigCodeBench Instruct | — | 42.8% |
| LiveBench Coding | — | 36% |
| BigCodeBench Complete | — | 52.5% |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Gemma 2 27B: —
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Gemini 2.5 Flash leads
Gemini 2.5 Flash: 18.1 (#286), Gemma 2 27B: 15.3 (#315)
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1198 |
| DTBench | 76.5% | 48% |
| LMCA | 27.5% | 7.1% |
| Epoch Capabilities Index | 143.03 | 122.08 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| LiveBench Reasoning | — | 28.1% |
| LiveBench Data Analysis | — | 47.9% |
| ForecastBench | 60.6 | — |
| LiveBench | — | 38.2% |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Gemma 2 27B: 10.7 (#311)
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 1.4% |
| LMArena Math | 1415 | 1212 |
| Omni-MATH | 38.5% | — |
| LiveBench Math | — | 26.5% |
| MATH Level 5 | — | 27.9% |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), Gemma 2 27B: 19.0 (#280)
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| Confabulations | 16.8% | 27.1% |
| LMArena Expert | 1426 | 1172 |
| GPQA Diamond | — | 36.5% |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| MMLU | — | 75.7% |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Gemma 2 27B: —
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), Gemma 2 27B: 38.6 (#226)
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Non-English | 1409 | 1217 |
| LMArena Chinese | 1450 | 1221 |
| LMArena French | 1433 | 1247 |
| LMArena German | 1418 | 1209 |
| LMArena Japanese | 1405 | 1175 |
| LMArena Korean | 1385 | 1174 |
| LMArena Russian | 1415 | 1234 |
| LMArena Spanish | 1421 | 1228 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Gemma 2 27B: 60.5 (#249)
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1206 |
| LiveBench Instruction Following | — | 58.1% |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Gemma 2 27B: 37.3 (#218)
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Longer Query | 1419 | 1231 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), Gemma 2 27B: 44.2 (#225)
| Benchmark | Gemini 2.5 Flash | Gemma 2 27B |
|---|---|---|
| LMArena Text | 1417 | 1231 |
| LMArena Creative Writing | 1400 | 1241 |
| LMArena Multi-Turn | 1408 | 1224 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
| LiveBench Language | — | 32.6% |
Frequently asked questions
Is Gemini 2.5 Flash better than Gemma 2 27B?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 29.4 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Gemma 2 27B?
Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.
Is Gemini 2.5 Flash or Gemma 2 27B better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 8K.
How many benchmarks do Gemini 2.5 Flash and Gemma 2 27B share?
22 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Gemma 2 27B has 34.