Gemini 2.5 Flash vs Gemma 3 27B
Updated October 21, 2026. 52 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Gemini 2.5 Flash for coding: it scores 28.7 on the Vibe Coding Index against 4.9 for Gemma 3 27B.
Pick Gemma 3 27B when output tokens cost 7.1x less.
- Shared results
- 52
- Gemini 2.5 Flash only
- 17
- Gemma 3 27B only
- 10
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
Gemini 2.5 Flash
Gemini 2.5 Flash scores 28.7 against 4.9.
One benchmark behind each score
Intelligence
AA Intelligence Index
Gemini 2.5 Flash
Gemini 2.5 Flash leads, 15.5 against 4.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 3 27B has a AA Agentic Index result, 0.1.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 2.5 Flash has a Design Arena: websites result, 1074.
Directional only
Long documents
Listed context window
Gemini 2.5 Flash
Gemini 2.5 Flash takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 3 27B
Gemini 2.5 Flash $0.0015, Gemma 3 27B $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Flash has the number, $0.466.
Directional only
At a glance
- Coding index
- Gemini 2.5 Flash 28.7 from 1 benchmark, Gemma 3 27B 4.9 from 1 benchmark.
- Widest category
- Math, 34.4 points apart on average over 4 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Gemini 2.5 Flash 65.3% against Gemma 3 27B 7.3%, 58.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $2.50 against Gemma 3 27B $0.35 per million output tokens, 7.1x apart.
- Context window
- Gemini 2.5 Flash takes 1.05M tokens, Gemma 3 27B 131K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 2.5 Flash | Bars | Gemma 3 27B | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 7 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 5 | 0 | ||
| General | 29 | 0 | ||
| All shared boards | 52 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 4.9% | Only Gemma 3 27B measured |
| SWE-bench Verified | 28.7% | Not measured | Only Gemini 2.5 Flash measured |
| AA Coding Index | Not measured | 10.1 | Only Gemma 3 27B measured |
| LiveCodeBench (Artificial Analysis run) | 69.5% | 13.7% | Gemini 2.5 Flash |
| SciCode | Not measured | 23.3% | Only Gemma 3 27B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | 3.8% | Gemini 2.5 Flash |
| Terminal-Bench | 17.1% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: coding | 1423 | 1322 | Gemini 2.5 Flash |
| LMArena Text: software and IT | 1425 | 1354 | Gemini 2.5 Flash |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 4.9 | Gemini 2.5 Flash |
| Epoch Capabilities Index | 142.9 | 130.0 | Gemini 2.5 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.1 | Only Gemma 3 27B measured |
| τ²-Bench Telecom | 31.6% | 10.5% | Gemini 2.5 Flash |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 79.0% | 42.8% | Gemini 2.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | 4.4% | Gemini 2.5 Flash |
| GPQA Diamond (Epoch AI run) | Not measured | 47.7% | Only Gemma 3 27B measured |
| ARC-AGI | 33.3% | Not measured | Only Gemini 2.5 Flash measured |
| ARC-AGI-2 | 2.5% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleBench | 41.2% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: hard prompts | 1422 | 1340 | Gemini 2.5 Flash |
| LMArena Text: expert | 1426 | 1304 | Gemini 2.5 Flash |
| LMArena Text: hard prompts in English | 1420 | 1353 | Gemini 2.5 Flash |
| LMArena Vision: diagrams | 1245 | 1156 | Gemini 2.5 Flash |
| LMArena Vision: homework | 1244 | 1160 | Gemini 2.5 Flash |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Math Index | 73.3 | 20.7 | Gemini 2.5 Flash |
| AIME 2025 (Artificial Analysis run) | 73.3% | 20.7% | Gemini 2.5 Flash |
| OTIS Mock AIME | Not measured | 22.5% | Only Gemma 3 27B measured |
| MATH level 5 | Not measured | 74.0% | Only Gemma 3 27B measured |
| LMArena Text: math | 1411 | 1312 | Gemini 2.5 Flash |
| LMArena Text: mathematical work | 1422 | 1327 | Gemini 2.5 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 40.4% | Not measured | Only Gemini 2.5 Flash measured |
| MMLU Pro (Artificial Analysis run) | 83.2% | 66.9% | Gemini 2.5 Flash |
| GeoBench | Not measured | 52.0% | Only Gemma 3 27B measured |
| LMArena Text: science | 1433 | 1383 | Gemini 2.5 Flash |
| LMArena Text: medicine and healthcare | 1428 | 1391 | Gemini 2.5 Flash |
| LMArena Text: legal and government | 1430 | 1375 | Gemini 2.5 Flash |
| LMArena Text: business and finance | 1404 | 1360 | Gemini 2.5 Flash |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: UI components | 1005 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: game dev | 1005 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: data viz | 1060 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: 3D | 1021 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: all code categories | 1059 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: SVG | 1018 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 44.8% | Not measured | Only Gemini 2.5 Flash measured |
| MedScribe (Vals AI) | 83.0% | Not measured | Only Gemini 2.5 Flash measured |
| IFBench | 50.3% | 31.8% | Gemini 2.5 Flash |
| Long context reasoning (AA-LCR) | 65.3% | 7.3% | Gemini 2.5 Flash |
| DTBench | 76.5% | 52.5% | Gemini 2.5 Flash |
| LMCA | 27.5% | 12.3% | Gemini 2.5 Flash |
| Fiction.LiveBench | Not measured | 33.3% | Only Gemma 3 27B measured |
| Creative writing (Lech Mazur) | Not measured | 79.9% | Only Gemma 3 27B measured |
| LMArena Text | 1417 | 1358 | Gemini 2.5 Flash |
| LMArena Text: instruction following | 1405 | 1321 | Gemini 2.5 Flash |
| LMArena Text: creative writing | 1400 | 1345 | Gemini 2.5 Flash |
| LMArena Vision | 1235 | 1165 | Gemini 2.5 Flash |
| LMArena Text: English | 1418 | 1377 | Gemini 2.5 Flash |
| LMArena Text: non-English | 1409 | 1334 | Gemini 2.5 Flash |
| LMArena Text: Chinese | 1449 | 1346 | Gemini 2.5 Flash |
| LMArena Text: German | 1417 | 1362 | Gemini 2.5 Flash |
| LMArena Text: Japanese | 1396 | 1287 | Gemini 2.5 Flash |
| LMArena Text: Korean | 1385 | 1308 | Gemini 2.5 Flash |
| LMArena Text: French | 1432 | 1368 | Gemini 2.5 Flash |
| LMArena Text: Spanish | 1422 | 1349 | Gemini 2.5 Flash |
| LMArena Text: Russian | 1415 | 1349 | Gemini 2.5 Flash |
| LMArena Text: Polish | 1413 | 1345 | Gemini 2.5 Flash |
| LMArena Text: multi-turn | 1408 | 1345 | Gemini 2.5 Flash |
| LMArena Text: longer queries | 1419 | 1333 | Gemini 2.5 Flash |
| LMArena Text: writing and language | 1405 | 1347 | Gemini 2.5 Flash |
| LMArena Text: entertainment and media | 1393 | 1320 | Gemini 2.5 Flash |
| LMArena Vision: English | 1239 | 1188 | Gemini 2.5 Flash |
| LMArena Vision: Chinese | 1284 | 1164 | Gemini 2.5 Flash |
| LMArena Vision: reading text | 1237 | 1156 | Gemini 2.5 Flash |
| LMArena Vision: humor | 1225 | 1166 | Gemini 2.5 Flash |
| LMArena Vision: captioning | 1277 | 1151 | Gemini 2.5 Flash |
| LMArena Vision: recognizing things | 1252 | 1196 | Gemini 2.5 Flash |
| LMArena Vision: creative writing | 1241 | 1177 | Gemini 2.5 Flash |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash | Gemma 3 27B | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemma 3 27B costs less
Repository review
50K input + 3K output tokens
Gemma 3 27B costs less
Agent loop
200K input + 10K output tokens
Gemma 3 27B costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 2.5 Flash | Google Gemma 3 27B |
|---|---|---|
| Maker | ||
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | March 12, 2025 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $0.30 | $0.08 |
| Output $/Mtok | $2.50 | $0.35 |
| Coding index | 28.7 | 4.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.466 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than Gemma 3 27B for coding?
Pick Gemini 2.5 Flash for coding: it scores 28.7 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when output tokens cost 7.1x less.
Which is cheaper, Gemini 2.5 Flash or Gemma 3 27B?
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Gemma 3 27B costs $0.08 and $0.35. Cost per solved task is known for Gemini 2.5 Flash only.
Which has the bigger context window, Gemini 2.5 Flash or Gemma 3 27B?
Gemini 2.5 Flash, with 1.05M tokens against 131K.
How many benchmarks is the Gemini 2.5 Flash vs Gemma 3 27B comparison based on?
52 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark and Gemma 3 27B's on 1. Where only one model has a result, the page says so instead of naming a winner.