Trinity Large Thinking vs Gemma 3 27B
Trinity Large Thinking leads Gemma 3 27B on the Artificial Analysis Intelligence Index, 10.8 to 4.9, and Gemma 3 27B costs 2.7x less per output token ($0.30 vs $0.80 per million). Updated October 22, 2026; 38 benchmarks have a result for both.
Trinity Large Thinking or Gemma 3 27B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Trinity Large Thinking for a larger context window (262K against 131K tokens) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.
- Shared results
- 38
- Trinity Large Thinking only
- 14
- Gemma 3 27B only
- 28
- 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
Trinity Large Thinking
Trinity Large Thinking leads, 10.8 against 4.9.
Same board, both measured
Agentic work
AA Agentic Index
Trinity Large Thinking
Trinity Large Thinking leads, 1.0 against 0.1.
Same board, both measured
Web design
Design Arena: websites
No call
Only Trinity Large Thinking has a Design Arena: websites result, 1137.
Directional only
Long documents
Listed context window
Trinity Large Thinking
Trinity Large Thinking takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 3 27B
Trinity Large Thinking $0.0006, Gemma 3 27B $0.0002 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, Gemma 3 27B not benchmarked.
- Widest category
- Agentic work, 40.2 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Trinity Large Thinking 90.1% against Gemma 3 27B 10.5%, 79.5 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against Gemma 3 27B $0.30 per million output tokens, 2.7x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, Gemma 3 27B 131K.
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 | Gemma 3 27B | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 0 | 4 | ||
| General | 5 | 14 | ||
| All shared boards | 20 | 18 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | Trinity Large Thinking | Gemma 3 27B | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 4.9% | Only Gemma 3 27B measured |
| LMArena WebDev | 1238 | Not measured | Only Trinity Large Thinking measured |
| AA Coding Index | 25.8 | 10.1 | Trinity Large Thinking |
| LiveCodeBench (Artificial Analysis run) | Not measured | 13.7% | Only Gemma 3 27B measured |
| SciCode | 40.6% | 23.3% | Trinity Large Thinking |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 3.8% | Trinity Large Thinking |
| LMArena Text: coding | 1357 | 1322 | Trinity Large Thinking |
| LMArena Text: software and IT | 1362 | 1354 | Trinity Large Thinking |
| LMArena WebDev: React | 1231 | Not measured | Only Trinity Large Thinking measured |
| LMArena WebDev: HTML | 1240 | Not measured | Only Trinity Large Thinking measured |
| SciCode | Not measured | 0.0% | Only Gemma 3 27B measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Trinity Large Thinking | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 4.9 | Trinity Large Thinking |
| Epoch Capabilities Index | Not measured | 130.0 | Only Gemma 3 27B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Trinity Large Thinking | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 0.1 | Trinity Large Thinking |
| τ²-Bench Telecom | 90.1% | 10.5% | Trinity Large Thinking |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 29.5% | Only Gemma 3 27B measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Trinity Large Thinking | Gemma 3 27B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | 42.8% | Trinity Large Thinking |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 4.4% | Trinity Large Thinking |
| GPQA Diamond (Epoch AI run) | Not measured | 47.7% | Only Gemma 3 27B measured |
| LMArena Text: hard prompts | 1342 | 1340 | Trinity Large Thinking |
| LMArena Text: expert | 1359 | 1304 | Trinity Large Thinking |
| LMArena Text: hard prompts in English | 1356 | 1353 | Trinity Large Thinking |
| LMArena Vision: diagrams | Not measured | 1156 | Only Gemma 3 27B measured |
| LMArena Vision: homework | Not measured | 1160 | Only Gemma 3 27B measured |
| Kagi LLM Benchmark | Not measured | 35.1% | 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 index20
| Benchmark | Trinity Large Thinking | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 20.7 | Only Gemma 3 27B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 20.7% | Only Gemma 3 27B measured |
| OTIS Mock AIME | Not measured | 22.5% | Only Gemma 3 27B measured |
| MATH level 5 | Not measured | 74.0% | Only Gemma 3 27B measured |
| LMArena Text: math | 1365 | 1312 | Trinity Large Thinking |
| LMArena Text: mathematical work | 1350 | 1327 | Trinity Large Thinking |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Trinity Large Thinking | Gemma 3 27B | 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 |
| MMLU Pro (Artificial Analysis run) | Not measured | 66.9% | Only Gemma 3 27B measured |
| GeoBench | Not measured | 52.0% | Only Gemma 3 27B measured |
| LMArena Text: science | 1355 | 1383 | Gemma 3 27B |
| LMArena Text: medicine and healthcare | 1349 | 1391 | Gemma 3 27B |
| LMArena Text: legal and government | 1345 | 1375 | Gemma 3 27B |
| LMArena Text: business and finance | 1329 | 1360 | Gemma 3 27B |
| FACTS Benchmark Suite | Not measured | 29.1% | Only Gemma 3 27B measured |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Trinity Large Thinking | Gemma 3 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: UI components | 1042 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: game dev | 1078 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: data viz | 1098 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: 3D | 1081 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: all code categories | 1117 | Not measured | Only Trinity Large Thinking measured |
| 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 index514
| Benchmark | Trinity Large Thinking | Gemma 3 27B | Leader |
|---|---|---|---|
| IFBench | 56.3% | 31.8% | Trinity Large Thinking |
| Long context reasoning (AA-LCR) | 38.0% | 7.3% | Trinity Large Thinking |
| DTBench | Not measured | 52.5% | Only Gemma 3 27B measured |
| LMCA | Not measured | 12.3% | Only Gemma 3 27B measured |
| Fiction.LiveBench | Not measured | 33.3% | Only Gemma 3 27B measured |
| Creative writing (Lech Mazur) | Not measured | 79.9% | Only Gemma 3 27B measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1358 | Gemma 3 27B |
| LMArena Text: instruction following | 1326 | 1321 | Trinity Large Thinking |
| LMArena Text: creative writing | 1308 | 1345 | Gemma 3 27B |
| LMArena Vision | Not measured | 1165 | Only Gemma 3 27B measured |
| LMArena Text: English | 1356 | 1377 | Gemma 3 27B |
| LMArena Text: non-English | 1325 | 1334 | Gemma 3 27B |
| LMArena Text: Chinese | 1371 | 1346 | Trinity Large Thinking |
| LMArena Text: German | 1356 | 1362 | Gemma 3 27B |
| LMArena Text: Japanese | 1312 | 1287 | Trinity Large Thinking |
| LMArena Text: Korean | 1306 | 1308 | Gemma 3 27B |
| LMArena Text: French | 1366 | 1368 | Gemma 3 27B |
| LMArena Text: Spanish | 1327 | 1349 | Gemma 3 27B |
| LMArena Text: Russian | 1338 | 1349 | Gemma 3 27B |
| LMArena Text: Polish | 1312 | 1345 | Gemma 3 27B |
| LMArena Text: multi-turn | 1320 | 1345 | Gemma 3 27B |
| LMArena Text: longer queries | 1318 | 1333 | Gemma 3 27B |
| LMArena Text: writing and language | 1317 | 1347 | Gemma 3 27B |
| LMArena Text: entertainment and media | 1296 | 1320 | Gemma 3 27B |
| LMArena Vision: English | Not measured | 1188 | Only Gemma 3 27B measured |
| LMArena Vision: Chinese | Not measured | 1164 | Only Gemma 3 27B measured |
| LMArena Vision: reading text | Not measured | 1156 | Only Gemma 3 27B measured |
| LMArena Vision: humor | Not measured | 1166 | Only Gemma 3 27B measured |
| LMArena Vision: captioning | Not measured | 1151 | Only Gemma 3 27B measured |
| LMArena Vision: recognizing things | Not measured | 1196 | Only Gemma 3 27B measured |
| LMArena Vision: creative writing | Not measured | 1177 | Only Gemma 3 27B measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | Gemma 3 27B | 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 | Arcee AI Trinity Large Thinking | Google Gemma 3 27B |
|---|---|---|
| Maker | Arcee AI | |
| Weights | Open weights | Open weights |
| Released | April 1, 2026 | March 12, 2025 |
| Context window | 262K | 131K |
| Input $/Mtok | $0.25 | $0.08 |
| Output $/Mtok | $0.80 | $0.30 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than Gemma 3 27B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for a larger context window (262K against 131K tokens) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.
Which is cheaper, Trinity Large Thinking or Gemma 3 27B?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Gemma 3 27B costs $0.08 and $0.30. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or Gemma 3 27B?
Trinity Large Thinking, with 262K tokens against 131K.
How many benchmarks is the Trinity Large Thinking vs Gemma 3 27B comparison based on?
38 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Gemma 3 27B's on 0. Where only one model has a result, the page says so instead of naming a winner.