Gemma 4 26B A4B vs Solar Pro 4
Solar Pro 4 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 28.2 to 16.7, at about the same output price ($0.60 vs $0.60 per million). Updated October 22, 2026; 34 benchmarks have a result for both.
Gemma 4 26B A4B or Solar Pro 4: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemma 4 26B A4B for work measured by LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 34
- Gemma 4 26B A4B only
- 21
- Solar Pro 4 only
- 11
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 16.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 4 26B A4B has a AA Agentic Index result, 2.9.
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
No call
Gemma 4 26B A4B $0.0004, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Gemma 4 26B A4B not benchmarked, Solar Pro 4 not benchmarked.
- Widest category
- Intelligence, 11.5 points apart on average over 1 shared benchmark.
- Widest single gap
- ALE-Bench: Gemma 4 26B A4B 927.2 against Solar Pro 4 179.3, 24.9 points apart on a 0 to 100 scale.
- Output price
- Both cost $0.60 per million output tokens.
- Context window
- Gemma 4 26B A4B 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 26B A4B | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 3 | 5 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 2 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 13 | 1 | ||
| All shared boards | 25 | 9 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index35
| Benchmark | Gemma 4 26B A4B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1360 | 1371 | Solar Pro 4 |
| AA Coding Index | 39.3 | 52.7 | Solar Pro 4 |
| SciCode | 40.0% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Gemma 4 26B A4B measured |
| WeirdML | 35.2% | Not measured | Only Gemma 4 26B A4B measured |
| ALE-Bench | 927.2 | 179.3 | Gemma 4 26B A4B |
| LMArena Text: coding | 1446 | 1438 | Gemma 4 26B A4B |
| LMArena Text: software and IT | 1454 | 1431 | Gemma 4 26B A4B |
| LMArena WebDev: React | 1351 | 1363 | Solar Pro 4 |
| LMArena WebDev: HTML | 1362 | 1371 | Solar Pro 4 |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 26B A4B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | 28.2 | Solar Pro 4 |
| Epoch Capabilities Index | 141.9 | Not measured | Only Gemma 4 26B A4B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Gemma 4 26B A4B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 2.9 | Not measured | Only Gemma 4 26B A4B measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 43.6% | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Gemma 4 26B A4B | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 79.2% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 19.3% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 73.2% | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: hard prompts | 1438 | 1400 | Gemma 4 26B A4B |
| LMArena Text: expert | 1447 | 1428 | Gemma 4 26B A4B |
| LMArena Text: hard prompts in English | 1448 | 1427 | Gemma 4 26B A4B |
| LMArena Vision: diagrams | 1264 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: homework | 1293 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 26B A4B | Solar Pro 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 82.2% | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: math | 1470 | 1421 | Gemma 4 26B A4B |
| LMArena Text: mathematical work | 1475 | 1427 | Gemma 4 26B A4B |
| 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 26B A4B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena Text: science | 1446 | 1404 | Gemma 4 26B A4B |
| LMArena Text: medicine and healthcare | 1428 | 1374 | Gemma 4 26B A4B |
| LMArena Text: legal and government | 1457 | 1383 | Gemma 4 26B A4B |
| LMArena Text: business and finance | 1429 | 1381 | Gemma 4 26B A4B |
| FACTS Benchmark Suite | 42.7% | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemma 4 26B A4B | 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 |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index131
| Benchmark | Gemma 4 26B A4B | Solar Pro 4 | Leader |
|---|---|---|---|
| IFBench | 72.4% | Not measured | Only Gemma 4 26B A4B measured |
| Long context reasoning (AA-LCR) | 65.7% | 70.7% | Solar Pro 4 |
| DTBench | 74.9% | Not measured | Only Gemma 4 26B A4B measured |
| LMCA | 29.7% | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text | 1434 | 1388 | Gemma 4 26B A4B |
| LMArena Text: instruction following | 1420 | 1375 | Gemma 4 26B A4B |
| LMArena Text: creative writing | 1400 | 1317 | Gemma 4 26B A4B |
| LMArena Vision | 1260 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: English | 1444 | 1414 | Gemma 4 26B A4B |
| LMArena Text: non-English | 1421 | 1363 | Gemma 4 26B A4B |
| LMArena Text: Chinese | 1495 | 1422 | Gemma 4 26B A4B |
| 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 | 1460 | 1400 | Gemma 4 26B A4B |
| LMArena Text: Spanish | 1415 | 1409 | Gemma 4 26B A4B |
| LMArena Text: Russian | 1434 | 1357 | Gemma 4 26B A4B |
| LMArena Text: Polish | Not measured | 1304 | Only Solar Pro 4 measured |
| LMArena Text: multi-turn | 1441 | 1385 | Gemma 4 26B A4B |
| LMArena Text: longer queries | 1427 | 1382 | Gemma 4 26B A4B |
| LMArena Text: writing and language | 1405 | 1344 | Gemma 4 26B A4B |
| LMArena Text: entertainment and media | 1403 | 1332 | Gemma 4 26B A4B |
| LMArena Vision: English | 1256 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: Chinese | 1312 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: reading text | 1268 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: humor | 1272 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: captioning | 1297 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | 1191 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | 1256 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 26B A4B | 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
Same cost
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Same cost
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 26B A4B | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Upstage | |
| Weights | Open weights | No public weights listed |
| Released | April 3, 2026 | August 10, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.15 | $0.15 |
| Output $/Mtok | $0.60 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 26B A4B better than Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for work measured by LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, Gemma 4 26B A4B or Solar Pro 4?
Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 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 26B A4B or Solar Pro 4?
Solar Pro 4, with 524K tokens against 262K.
How many benchmarks is the Gemma 4 26B A4B vs Solar Pro 4 comparison based on?
34 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B'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.