Gemma 3 27B vs Solar Pro 4
Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Solar Pro 4 for coding: it scores 24.4 on the Vibe Coding Index against 4.9 for Gemma 3 27B.
Pick Gemma 3 27B when output tokens cost 1.7x less, or when what matters is LMArena Text: medicine and healthcare or LMArena Text: creative writing, where it leads.
- Shared results
- 34
- Gemma 3 27B only
- 28
- Solar Pro 4 only
- 11
- Like-for-like categories
- 6 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
Solar Pro 4
Solar Pro 4 scores 24.4 against 4.9.
One benchmark behind each score
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 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 Solar Pro 4 has a Design Arena: websites result, 1176.
Directional only
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 3 27B
Gemma 3 27B $0.0003, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Gemma 3 27B 4.9 from 1 benchmark, Solar Pro 4 24.4 from 1 benchmark.
- Widest category
- Coding, 24.8 points apart on average over 4 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Gemma 3 27B 7.3% against Solar Pro 4 70.7%, 63.3 points apart on a 0 to 100 scale.
- Output price
- Gemma 3 27B $0.35 against Solar Pro 4 $0.60 per million output tokens, 1.7x apart.
- Context window
- Gemma 3 27B takes 131K tokens, Solar Pro 4 524K.
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 | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| General | 4 | 14 | ||
| All shared boards | 5 | 29 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
| Benchmark | Gemma 3 27B | Solar Pro 4 | Leader |
|---|---|---|---|
| Aider polyglot | 4.9% | Not measured | Only Gemma 3 27B measured |
| LMArena WebDev | Not measured | 1371 | Only Solar Pro 4 measured |
| AA Coding Index | 10.1 | 52.7 | Solar Pro 4 |
| LiveCodeBench (Artificial Analysis run) | 13.7% | Not measured | Only Gemma 3 27B measured |
| SciCode | 23.3% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 3.8% | Not measured | Only Gemma 3 27B measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | 1322 | 1438 | Solar Pro 4 |
| LMArena Text: software and IT | 1354 | 1431 | Solar Pro 4 |
| LMArena WebDev: React | Not measured | 1363 | Only Solar Pro 4 measured |
| LMArena WebDev: HTML | Not measured | 1371 | Only Solar Pro 4 measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 3 27B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 4.9 | 28.2 | Solar Pro 4 |
| Epoch Capabilities Index | 130.0 | Not measured | Only Gemma 3 27B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Gemma 3 27B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.1 | Not measured | Only Gemma 3 27B measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 10.5% | Not measured | Only Gemma 3 27B measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemma 3 27B | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 42.8% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 4.4% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 47.7% | Not measured | Only Gemma 3 27B measured |
| LMArena Text: hard prompts | 1340 | 1400 | Solar Pro 4 |
| LMArena Text: expert | 1304 | 1428 | Solar Pro 4 |
| LMArena Text: hard prompts in English | 1353 | 1427 | Solar Pro 4 |
| 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 index02
| Benchmark | Gemma 3 27B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Math Index | 20.7 | Not measured | Only Gemma 3 27B measured |
| AIME 2025 (Artificial Analysis run) | 20.7% | Not measured | Only Gemma 3 27B measured |
| OTIS Mock AIME | 22.5% | Not measured | Only Gemma 3 27B measured |
| MATH level 5 | 74.0% | Not measured | Only Gemma 3 27B measured |
| LMArena Text: math | 1312 | 1421 | Solar Pro 4 |
| LMArena Text: mathematical work | 1327 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Gemma 3 27B | Solar Pro 4 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 66.9% | Not measured | Only Gemma 3 27B measured |
| GeoBench | 52.0% | Not measured | Only Gemma 3 27B measured |
| LMArena Text: science | 1383 | 1404 | Solar Pro 4 |
| LMArena Text: medicine and healthcare | 1391 | 1374 | Gemma 3 27B |
| LMArena Text: legal and government | 1375 | 1383 | Solar Pro 4 |
| LMArena Text: business and finance | 1360 | 1381 | Solar Pro 4 |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemma 3 27B | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1176 | Only Solar Pro 4 measured |
| Design Arena: UI components | Not measured | 1150 | Only Solar Pro 4 measured |
| Design Arena: game dev | Not measured | 1170 | Only Solar Pro 4 measured |
| Design Arena: data viz | Not measured | 1177 | Only Solar Pro 4 measured |
| Design Arena: 3D | Not measured | 1178 | Only Solar Pro 4 measured |
| Design Arena: all code categories | Not measured | 1182 | Only Solar Pro 4 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index414
| Benchmark | Gemma 3 27B | Solar Pro 4 | Leader |
|---|---|---|---|
| IFBench | 31.8% | Not measured | Only Gemma 3 27B measured |
| Long context reasoning (AA-LCR) | 7.3% | 70.7% | Solar Pro 4 |
| DTBench | 52.5% | Not measured | Only Gemma 3 27B measured |
| LMCA | 12.3% | Not measured | Only Gemma 3 27B measured |
| Fiction.LiveBench | 33.3% | Not measured | Only Gemma 3 27B measured |
| Creative writing (Lech Mazur) | 79.9% | Not measured | Only Gemma 3 27B measured |
| LMArena Text | 1358 | 1388 | Solar Pro 4 |
| LMArena Text: instruction following | 1321 | 1375 | Solar Pro 4 |
| LMArena Text: creative writing | 1345 | 1317 | Gemma 3 27B |
| LMArena Vision | 1165 | Not measured | Only Gemma 3 27B measured |
| LMArena Text: English | 1377 | 1414 | Solar Pro 4 |
| LMArena Text: non-English | 1334 | 1363 | Solar Pro 4 |
| LMArena Text: Chinese | 1346 | 1422 | Solar Pro 4 |
| LMArena Text: German | 1362 | 1358 | Gemma 3 27B |
| LMArena Text: Japanese | 1287 | 1320 | Solar Pro 4 |
| LMArena Text: Korean | 1308 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1368 | 1400 | Solar Pro 4 |
| LMArena Text: Spanish | 1349 | 1409 | Solar Pro 4 |
| LMArena Text: Russian | 1349 | 1357 | Solar Pro 4 |
| LMArena Text: Polish | 1345 | 1304 | Gemma 3 27B |
| LMArena Text: multi-turn | 1345 | 1385 | Solar Pro 4 |
| LMArena Text: longer queries | 1333 | 1382 | Solar Pro 4 |
| LMArena Text: writing and language | 1347 | 1344 | Gemma 3 27B |
| LMArena Text: entertainment and media | 1320 | 1332 | Solar Pro 4 |
| 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 | Solar Pro 4 | 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 Gemma 3 27B | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Upstage | |
| Weights | Open weights | No public weights listed |
| Released | March 12, 2025 | August 10, 2026 |
| Context window | 131K | 524K |
| Input $/Mtok | $0.08 | $0.15 |
| Output $/Mtok | $0.35 | $0.60 |
| Coding index | 4.9 | 24.4 |
| 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 Solar Pro 4 for coding?
Pick Solar Pro 4 for coding: it scores 24.4 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when output tokens cost 1.7x less, or when what matters is LMArena Text: medicine and healthcare or LMArena Text: creative writing, where it leads.
Which is cheaper, Gemma 3 27B or Solar Pro 4?
Gemma 3 27B costs $0.08 per million input tokens and $0.35 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemma 3 27B or Solar Pro 4?
Solar Pro 4, with 524K tokens against 131K.
How many benchmarks is the Gemma 3 27B vs Solar Pro 4 comparison based on?
34 benchmarks have a result for both models as of October 21, 2026. Gemma 3 27B's coding index rests on 1 independent benchmark and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.