Gemma 3 27B vs Qwen3 32B
Updated October 21, 2026. 42 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3 32B for coding: it scores 40.0 on the Vibe Coding Index against 4.9 for Gemma 3 27B.
Pick Gemma 3 27B when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: hard prompts, where it leads.
- Shared results
- 42
- Gemma 3 27B only
- 20
- Qwen3 32B only
- 0
- 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
Qwen3 32B
Qwen3 32B scores 40.0 against 4.9.
One benchmark behind each score
Intelligence
AA Intelligence Index
Qwen3 32B
Qwen3 32B leads, 7.3 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
Long documents
Listed context window
No call
Both take 131K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 32B
Gemma 3 27B $0.0003, Qwen3 32B $0.0002 per turn.
List prices
At a glance
- Coding index
- Gemma 3 27B 4.9 from 1 benchmark, Qwen3 32B 40.0 from 1 benchmark.
- Widest category
- Math, 35.8 points apart on average over 5 shared benchmarks.
- Widest single gap
- AIME 2025 (Artificial Analysis run): Gemma 3 27B 20.7% against Qwen3 32B 73.0%, 52.3 points apart on a 0 to 100 scale.
- Output price
- Gemma 3 27B $0.35 against Qwen3 32B $0.28 per million output tokens, 1.2x apart.
- Context window
- Both take 131K tokens.
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 | Gemma 3 27B | Bars | Qwen3 32B | Ties |
|---|---|---|---|---|
| Coding | 1 | 5 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 2 | 4 | ||
| Math | 0 | 5 | ||
| Knowledge | 4 | 1 | ||
| General | 12 | 5 | ||
| All shared boards | 19 | 23 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index15
| Benchmark | Gemma 3 27B | Qwen3 32B | Leader |
|---|---|---|---|
| Aider polyglot | 4.9% | 40.0% | Qwen3 32B |
| AA Coding Index | 10.1 | Not measured | Only Gemma 3 27B measured |
| LiveCodeBench (Artificial Analysis run) | 13.7% | 54.6% | Qwen3 32B |
| SciCode | 23.3% | 36.0% | Qwen3 32B |
| Terminal-Bench Hard (Artificial Analysis run) | 3.8% | 3.0% | Gemma 3 27B |
| LMArena Text: coding | 1322 | 1357 | Qwen3 32B |
| LMArena Text: software and IT | 1354 | 1366 | Qwen3 32B |
| Neither model has a result on the other 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 3 27B | Qwen3 32B | Leader |
|---|---|---|---|
| AA Intelligence Index | 4.9 | 7.3 | Qwen3 32B |
| Epoch Capabilities Index | 130.0 | 138.4 | Qwen3 32B |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 3 27B | Qwen3 32B | Leader |
|---|---|---|---|
| AA Agentic Index | 0.1 | Not measured | Only Gemma 3 27B measured |
| τ²-Bench Telecom | 10.5% | 29.8% | Qwen3 32B |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Gemma 3 27B | Qwen3 32B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 42.8% | 66.8% | Qwen3 32B |
| Humanity's Last Exam (Artificial Analysis run) | 4.4% | 7.4% | Qwen3 32B |
| GPQA Diamond (Epoch AI run) | 47.7% | 65.7% | Qwen3 32B |
| LMArena Text: hard prompts | 1340 | 1334 | Gemma 3 27B |
| LMArena Text: expert | 1304 | 1362 | Qwen3 32B |
| LMArena Text: hard prompts in English | 1353 | 1350 | Gemma 3 27B |
| LMArena Vision: diagrams | 1156 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: homework | 1160 | Not measured | Only Gemma 3 27B measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemma 3 27B | Qwen3 32B | Leader |
|---|---|---|---|
| AA Math Index | 20.7 | 73.0 | Qwen3 32B |
| AIME 2025 (Artificial Analysis run) | 20.7% | 73.0% | Qwen3 32B |
| OTIS Mock AIME | 22.5% | 66.9% | Qwen3 32B |
| MATH level 5 | 74.0% | Not measured | Only Gemma 3 27B measured |
| LMArena Text: math | 1312 | 1399 | Qwen3 32B |
| LMArena Text: mathematical work | 1327 | 1420 | Qwen3 32B |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Gemma 3 27B | Qwen3 32B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 66.9% | 79.8% | Qwen3 32B |
| GeoBench | 52.0% | Not measured | Only Gemma 3 27B measured |
| LMArena Text: science | 1383 | 1372 | Gemma 3 27B |
| LMArena Text: medicine and healthcare | 1391 | 1368 | Gemma 3 27B |
| LMArena Text: legal and government | 1375 | 1324 | Gemma 3 27B |
| LMArena Text: business and finance | 1360 | 1318 | Gemma 3 27B |
| Neither model has a result on the other 11 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 3 27B | Qwen3 32B | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index125
| Benchmark | Gemma 3 27B | Qwen3 32B | Leader |
|---|---|---|---|
| IFBench | 31.8% | 36.3% | Qwen3 32B |
| Long context reasoning (AA-LCR) | 7.3% | 0.0% | Gemma 3 27B |
| DTBench | 52.5% | 67.5% | Qwen3 32B |
| LMCA | 12.3% | 17.3% | Qwen3 32B |
| Fiction.LiveBench | 33.3% | 74.2% | Qwen3 32B |
| Creative writing (Lech Mazur) | 79.9% | Not measured | Only Gemma 3 27B measured |
| LMArena Text | 1358 | 1340 | Gemma 3 27B |
| LMArena Text: instruction following | 1321 | 1305 | Gemma 3 27B |
| LMArena Text: creative writing | 1345 | 1297 | Gemma 3 27B |
| LMArena Vision | 1165 | Not measured | Only Gemma 3 27B measured |
| LMArena Text: English | 1377 | 1359 | Gemma 3 27B |
| LMArena Text: non-English | 1334 | 1317 | Gemma 3 27B |
| LMArena Text: Chinese | 1346 | 1357 | Qwen3 32B |
| LMArena Text: German | 1362 | 1341 | Gemma 3 27B |
| LMArena Text: Japanese | 1287 | Not measured | Only Gemma 3 27B measured |
| LMArena Text: Korean | 1308 | Not measured | Only Gemma 3 27B measured |
| LMArena Text: French | 1368 | Not measured | Only Gemma 3 27B measured |
| LMArena Text: Spanish | 1349 | Not measured | Only Gemma 3 27B measured |
| LMArena Text: Russian | 1349 | 1311 | Gemma 3 27B |
| LMArena Text: Polish | 1345 | Not measured | Only Gemma 3 27B measured |
| LMArena Text: multi-turn | 1345 | 1331 | Gemma 3 27B |
| LMArena Text: longer queries | 1333 | 1327 | Gemma 3 27B |
| LMArena Text: writing and language | 1347 | 1298 | Gemma 3 27B |
| LMArena Text: entertainment and media | 1320 | 1279 | Gemma 3 27B |
| LMArena Vision: English | 1188 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: Chinese | 1164 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: reading text | 1156 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: humor | 1166 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: captioning | 1151 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: recognizing things | 1196 | Not measured | Only Gemma 3 27B measured |
| LMArena Vision: creative writing | 1177 | Not measured | Only Gemma 3 27B measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 3 27B | Qwen3 32B | 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
Qwen3 32B costs less
Repository review
50K input + 3K output tokens
Qwen3 32B costs less
Agent loop
200K input + 10K output tokens
Qwen3 32B 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 Gemma 3 27B | Qwen3 32B |
|---|---|---|
| Maker | Qwen | |
| Weights | Open weights | Open weights |
| Released | March 12, 2025 | April 28, 2025 |
| Context window | 131K | 131K |
| Input $/Mtok | $0.08 | $0.08 |
| Output $/Mtok | $0.35 | $0.28 |
| Coding index | 4.9 | 40.0 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 3 27B better than Qwen3 32B for coding?
Pick Qwen3 32B for coding: it scores 40.0 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: hard prompts, where it leads.
Which is cheaper, Gemma 3 27B or Qwen3 32B?
Gemma 3 27B costs $0.08 per million input tokens and $0.35 per million output tokens; Qwen3 32B costs $0.08 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemma 3 27B or Qwen3 32B?
Neither: both take 131K tokens.
How many benchmarks is the Gemma 3 27B vs Qwen3 32B comparison based on?
42 benchmarks have a result for both models as of October 21, 2026. Gemma 3 27B's coding index rests on 1 independent benchmark and Qwen3 32B's on 1. Where only one model has a result, the page says so instead of naming a winner.