Trinity Large Thinking vs Solar Pro 4
Solar Pro 4 leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 28.2 to 10.8, and Solar Pro 4 costs 1.3x less per output token ($0.60 vs $0.80 per million). Updated October 22, 2026; 43 benchmarks have a result for both.
Trinity Large Thinking or Solar Pro 4: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Trinity Large Thinking for work measured by LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 43
- Trinity Large Thinking only
- 9
- Solar Pro 4 only
- 2
- Like-for-like categories
- 7 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 10.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Trinity Large Thinking has a AA Agentic Index result, 1.0.
Directional only
Web design
Design Arena: websites
Solar Pro 4
Solar Pro 4 leads, 1176 against 1137.
Same board, both measured
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
Solar Pro 4
Trinity Large Thinking $0.0006, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, Solar Pro 4 not benchmarked.
- Widest category
- Coding, 17.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against Solar Pro 4 70.7%, 32.7 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against Solar Pro 4 $0.60 per million output tokens, 1.3x apart.
- Context window
- Trinity Large Thinking 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 | Trinity Large Thinking | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 6 | ||
| General | 1 | 17 | ||
| All shared boards | 1 | 42 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | Trinity Large Thinking | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1238 | 1371 | Solar Pro 4 |
| AA Coding Index | 25.8 | 52.7 | Solar Pro 4 |
| SciCode | 40.6% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | Not measured | Only Trinity Large Thinking measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | 1357 | 1438 | Solar Pro 4 |
| LMArena Text: software and IT | 1362 | 1431 | Solar Pro 4 |
| LMArena WebDev: React | 1231 | 1363 | Solar Pro 4 |
| LMArena WebDev: HTML | 1240 | 1371 | Solar Pro 4 |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 28.2 | Solar Pro 4 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Trinity Large Thinking | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 90.1% | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Trinity Large Thinking | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 29.8% | Solar Pro 4 |
| LMArena Text: hard prompts | 1342 | 1400 | Solar Pro 4 |
| LMArena Text: expert | 1359 | 1428 | Solar Pro 4 |
| LMArena Text: hard prompts in English | 1356 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena Text: math | 1365 | 1421 | Solar Pro 4 |
| LMArena Text: mathematical work | 1350 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Trinity Large Thinking | Solar Pro 4 | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 57.9% | Not measured | Only Trinity Large Thinking measured |
| CorpFin (Vals AI) | 54.7% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: science | 1355 | 1404 | Solar Pro 4 |
| LMArena Text: medicine and healthcare | 1349 | 1374 | Solar Pro 4 |
| LMArena Text: legal and government | 1345 | 1383 | Solar Pro 4 |
| LMArena Text: business and finance | 1329 | 1381 | Solar Pro 4 |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Trinity Large Thinking | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 1176 | Solar Pro 4 |
| Design Arena: UI components | 1042 | 1147 | Solar Pro 4 |
| Design Arena: game dev | 1078 | 1169 | Solar Pro 4 |
| Design Arena: data viz | 1098 | 1177 | Solar Pro 4 |
| Design Arena: 3D | 1081 | 1178 | Solar Pro 4 |
| Design Arena: all code categories | 1117 | 1182 | Solar Pro 4 |
| Design Arena: SVG | 1016 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: ASCII art | 1041 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index117
| Benchmark | Trinity Large Thinking | Solar Pro 4 | Leader |
|---|---|---|---|
| IFBench | 56.3% | Not measured | Only Trinity Large Thinking measured |
| Long context reasoning (AA-LCR) | 38.0% | 70.7% | Solar Pro 4 |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1388 | Solar Pro 4 |
| LMArena Text: instruction following | 1326 | 1375 | Solar Pro 4 |
| LMArena Text: creative writing | 1308 | 1317 | Solar Pro 4 |
| LMArena Text: English | 1356 | 1414 | Solar Pro 4 |
| LMArena Text: non-English | 1325 | 1363 | Solar Pro 4 |
| LMArena Text: Chinese | 1371 | 1422 | Solar Pro 4 |
| LMArena Text: German | 1356 | 1358 | Solar Pro 4 |
| LMArena Text: Japanese | 1312 | 1320 | Solar Pro 4 |
| LMArena Text: Korean | 1306 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1366 | 1400 | Solar Pro 4 |
| LMArena Text: Spanish | 1327 | 1409 | Solar Pro 4 |
| LMArena Text: Russian | 1338 | 1357 | Solar Pro 4 |
| LMArena Text: Polish | 1312 | 1304 | Trinity Large Thinking |
| LMArena Text: multi-turn | 1320 | 1385 | Solar Pro 4 |
| LMArena Text: longer queries | 1318 | 1382 | Solar Pro 4 |
| LMArena Text: writing and language | 1317 | 1344 | Solar Pro 4 |
| LMArena Text: entertainment and media | 1296 | 1332 | Solar Pro 4 |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | 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
Solar Pro 4 costs less
Repository review
50K input + 3K output tokens
Solar Pro 4 costs less
Agent loop
200K input + 10K output tokens
Solar Pro 4 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 | Arcee AI Trinity Large Thinking | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Arcee AI | Upstage |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | August 10, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.25 | $0.15 |
| Output $/Mtok | $0.80 | $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 Trinity Large Thinking better than Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for work measured by LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, Trinity Large Thinking or Solar Pro 4?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 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, Trinity Large Thinking or Solar Pro 4?
Solar Pro 4, with 524K tokens against 262K.
How many benchmarks is the Trinity Large Thinking vs Solar Pro 4 comparison based on?
43 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking'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.