Gemma 4 31B vs Solar Pro 4
Solar Pro 4 leads Gemma 4 31B on the Artificial Analysis Intelligence Index, 28.2 to 14.7, and Gemma 4 31B costs 1.5x less per output token ($0.40 vs $0.60 per million). Updated October 22, 2026; 35 benchmarks have a result for both.
Gemma 4 31B or Solar Pro 4: which to pick
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding.
Pick Solar Pro 4 for a larger context window (524K against 262K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 35
- Gemma 4 31B only
- 36
- Solar Pro 4 only
- 10
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
No call
Only Gemma 4 31B has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 14.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 4 31B has a AA Agentic Index result, 4.2.
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemma 4 31B $0.0003, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Gemma 4 31B 39.0 from 2 benchmarks, Solar Pro 4 not benchmarked.
- Widest category
- Intelligence, 13.5 points apart on average over 1 shared benchmark.
- Widest single gap
- ALE-Bench: Gemma 4 31B 925.5 against Solar Pro 4 179.3, 24.9 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 31B $0.40 against Solar Pro 4 $0.60 per million output tokens, 1.5x apart.
- Context window
- Gemma 4 31B takes 262K 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 4 31B | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 4 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 2 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 14 | 1 | ||
| All shared boards | 27 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index44
| Benchmark | Gemma 4 31B | Solar Pro 4 | Leader |
|---|---|---|---|
| LiveBench coding | 49.0% | Not measured | Only Gemma 4 31B measured |
| LMArena WebDev | 1367 | 1371 | Solar Pro 4 |
| AA Coding Index | 43.4 | 52.7 | Solar Pro 4 |
| SciCode | 45.5% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 36.4% | Not measured | Only Gemma 4 31B measured |
| WeirdML | 52.3% | Not measured | Only Gemma 4 31B measured |
| ALE-Bench | 925.5 | 179.3 | Gemma 4 31B |
| LMArena Text: coding | 1459 | 1438 | Gemma 4 31B |
| LMArena Text: software and IT | 1463 | 1431 | Gemma 4 31B |
| LMArena WebDev: React | 1359 | 1363 | Solar Pro 4 |
| LMArena WebDev: HTML | 1380 | 1371 | Gemma 4 31B |
| SciCode | 8.9% | Not measured | Only Gemma 4 31B 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 4 31B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.7 | 28.2 | Solar Pro 4 |
| Epoch Capabilities Index | 143.0 | Not measured | Only Gemma 4 31B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemma 4 31B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 4.2 | Not measured | Only Gemma 4 31B measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| LiveBench research | 44.4% | Not measured | Only Gemma 4 31B measured |
| LiveBench browser | 4.0% | Not measured | Only Gemma 4 31B measured |
| LiveBench long agentic | 13.3% | Not measured | Only Gemma 4 31B measured |
| τ²-Bench Telecom | 65.5% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Gemma 4 31B | Solar Pro 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 68.3% | Not measured | Only Gemma 4 31B measured |
| GPQA Diamond (Artificial Analysis run) | 85.7% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 23.6% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 75.8% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: hard prompts | 1448 | 1400 | Gemma 4 31B |
| LMArena Text: expert | 1464 | 1428 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1456 | 1427 | Gemma 4 31B |
| LMArena Vision: diagrams | 1283 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: homework | 1310 | Not measured | Only Gemma 4 31B measured |
| Kagi LLM Benchmark | 63.5% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 31B | Solar Pro 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 73.3% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: math | 1463 | 1421 | Gemma 4 31B |
| LMArena Text: mathematical work | 1465 | 1427 | Gemma 4 31B |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemma 4 31B | Solar Pro 4 | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 52.6% | Not measured | Only Gemma 4 31B measured |
| MortgageTax (Vals AI) | 61.4% | Not measured | Only Gemma 4 31B measured |
| SimpleQA Verified | 10.4% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: science | 1457 | 1404 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1451 | 1374 | Gemma 4 31B |
| LMArena Text: legal and government | 1438 | 1383 | Gemma 4 31B |
| LMArena Text: business and finance | 1430 | 1381 | Gemma 4 31B |
| FACTS Benchmark Suite | 45.3% | Not measured | Only Gemma 4 31B measured |
| 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 | Gemma 4 31B | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1176 | Only Solar Pro 4 measured |
| Design Arena: UI components | Not measured | 1147 | Only Solar Pro 4 measured |
| Design Arena: game dev | Not measured | 1169 | 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 |
| LiveBench design | 58.4% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index141
| Benchmark | Gemma 4 31B | Solar Pro 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | 53.3% | Not measured | Only Gemma 4 31B measured |
| SAGE (Vals AI) | 55.0% | Not measured | Only Gemma 4 31B measured |
| IFBench | 75.6% | Not measured | Only Gemma 4 31B measured |
| Long context reasoning (AA-LCR) | 69.7% | 70.7% | Solar Pro 4 |
| DTBench | 82.7% | Not measured | Only Gemma 4 31B measured |
| LMCA | 39.3% | Not measured | Only Gemma 4 31B measured |
| Surface Evolver Bench | 30.6% | Not measured | Only Gemma 4 31B measured |
| LMArena Text | 1443 | 1388 | Gemma 4 31B |
| LMArena Text: instruction following | 1433 | 1375 | Gemma 4 31B |
| LMArena Text: creative writing | 1417 | 1317 | Gemma 4 31B |
| LMArena Vision | 1276 | Not measured | Only Gemma 4 31B measured |
| LMArena Text: English | 1451 | 1414 | Gemma 4 31B |
| LMArena Text: non-English | 1430 | 1363 | Gemma 4 31B |
| LMArena Text: Chinese | 1475 | 1422 | Gemma 4 31B |
| LMArena Text: German | Not measured | 1358 | Only Solar Pro 4 measured |
| LMArena Text: Japanese | Not measured | 1320 | Only Solar Pro 4 measured |
| LMArena Text: Korean | Not measured | 1383 | Only Solar Pro 4 measured |
| LMArena Text: French | 1436 | 1400 | Gemma 4 31B |
| LMArena Text: Spanish | 1442 | 1409 | Gemma 4 31B |
| LMArena Text: Russian | 1460 | 1357 | Gemma 4 31B |
| LMArena Text: Polish | 1433 | 1304 | Gemma 4 31B |
| LMArena Text: multi-turn | 1452 | 1385 | Gemma 4 31B |
| LMArena Text: longer queries | 1446 | 1382 | Gemma 4 31B |
| LMArena Text: writing and language | 1432 | 1344 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1405 | 1332 | Gemma 4 31B |
| LMArena Vision: English | 1271 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: Chinese | 1326 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: reading text | 1282 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: humor | 1280 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: captioning | 1218 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | 1226 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | 1285 | Not measured | Only Gemma 4 31B measured |
| LMArena Document | 1425 | Not measured | Only Gemma 4 31B measured |
| 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 | Gemma 4 31B | 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 4 31B costs less
Repository review
50K input + 3K output tokens
Gemma 4 31B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 31B 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 4 31B | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Upstage | |
| Weights | Open weights | No public weights listed |
| Released | April 2, 2026 | August 10, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.14 | $0.15 |
| Output $/Mtok | $0.40 | $0.60 |
| Coding index | 39.0 | Not benchmarked |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 31B better than Solar Pro 4 for coding?
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding. Pick Solar Pro 4 for a larger context window (524K against 262K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, Gemma 4 31B or Solar Pro 4?
Gemma 4 31B costs $0.14 per million input tokens and $0.40 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 4 31B or Solar Pro 4?
Solar Pro 4, with 524K tokens against 262K.
How many benchmarks is the Gemma 4 31B vs Solar Pro 4 comparison based on?
35 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.