Trinity Large Thinking vs Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 29.7 to 10.8, and Trinity Large Thinking costs 15.0x less per output token ($0.80 vs $12.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.
vs boards won of 51 shared
Trinity Large Thinking or Gemini 3.1 Pro Preview: which to pick
Only Gemini 3.1 Pro Preview has a coding score, 32.3 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding.
Pick Trinity Large Thinking for output tokens 15.0x cheaper ($0.80 vs $12.00 per million).
Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved task
- Shared results
- 51
- Trinity Large Thinking only
- 1
- Gemini 3.1 Pro Preview only
- 86
- Like-for-like categories
- 8 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 Gemini 3.1 Pro Preview has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 10.8.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 8.2 against 1.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.1 Pro Preview has a GPQA Diamond result, 95.5%.
Directional only
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.1 Pro Preview has a MMLU Pro result, 91.0%.
Directional only
Web design
Design Arena: websites
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 1234 against 1137.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, Gemini 3.1 Pro Preview $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.1 Pro Preview has the number, $0.99.
Directional only
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, Gemini 3.1 Pro Preview 32.3 from 4 benchmarks.
- Widest category
- Coding, 30.0 points apart on average over 8 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against Gemini 3.1 Pro Preview 82.0%, 44.0 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against Gemini 3.1 Pro Preview $12.00 per million output tokens, 15.0x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, Gemini 3.1 Pro Preview 1.05M.
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 | Gemini 3.1 Pro Preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 6 | ||
| Web design | 0 | 8 | ||
| General | 0 | 19 | ||
| All shared boards | 0 | 51 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| LMArena WebDev | 1238 | 1447 | Gemini 3.1 Pro Preview |
| AA Coding Index | 25.8 | 68.8 | Gemini 3.1 Pro Preview |
| LiveCodeBench (Vals AI) | Not measured | 88.5% | Only Gemini 3.1 Pro Preview measured |
| SWE-bench Verified (Vals AI) | Not measured | 78.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 2.5% | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench (Vals AI) | Not measured | 32.0% | Only Gemini 3.1 Pro Preview measured |
| Code migration (Vals AI) | Not measured | 17.3% | Only Gemini 3.1 Pro Preview measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.1 Pro Preview measured |
| IOI (Vals AI) | Not measured | 51.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 70.8% | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 6.7% | Only Gemini 3.1 Pro Preview measured |
| SciCode | 40.6% | 58.7% | Gemini 3.1 Pro Preview |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 53.8% | Gemini 3.1 Pro Preview |
| Terminal-Bench | Not measured | 80.2% | Only Gemini 3.1 Pro Preview measured |
| GSO-Bench | Not measured | 22.6% | Only Gemini 3.1 Pro Preview measured |
| WeirdML | Not measured | 72.1% | Only Gemini 3.1 Pro Preview measured |
| MirrorCode | Not measured | 8.9% | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | Not measured | 1160.6 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: coding | 1357 | 1484 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1362 | 1487 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1231 | 1438 | Gemini 3.1 Pro Preview |
| LMArena WebDev: HTML | 1240 | 1490 | Gemini 3.1 Pro Preview |
| LMArena WebDev: from an image | Not measured | 1481 | Only Gemini 3.1 Pro Preview measured |
| SciCode | Not measured | 14.3% | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 29.7 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 8.2 | Gemini 3.1 Pro Preview |
| Design Arena: agents building web apps | Not measured | 1125 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building full-stack apps | Not measured | 1068 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building mobile apps | Not measured | 1093 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Android apps | Not measured | 1049 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Godot games | Not measured | 1236 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building games | Not measured | 1113 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | Not measured | 1092 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | Not measured | 1040 | Only Gemini 3.1 Pro Preview measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.1 Pro Preview measured |
| Finance Agent (Vals AI) | Not measured | 43.0% | Only Gemini 3.1 Pro Preview measured |
| Tax Agent Bench (Vals AI) | Not measured | 9.3% | Only Gemini 3.1 Pro Preview measured |
| Legal Research Bench (Vals AI) | Not measured | 20.7% | Only Gemini 3.1 Pro Preview measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 52.6% | Only Gemini 3.1 Pro Preview measured |
| BioMysteryBench (Vals AI) | Not measured | 60.0% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 1.4% | Only Gemini 3.1 Pro Preview measured |
| Vals Science Index | Not measured | 27.4% | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | 90.1% | 95.6% | Gemini 3.1 Pro Preview |
| APEX-Agents | Not measured | 35.1% | Only Gemini 3.1 Pro Preview measured |
| METR time horizons | Not measured | 77.0% | Only Gemini 3.1 Pro Preview measured |
| BALROG | Not measured | 57.0% | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | Not measured | 47.8% | Only Gemini 3.1 Pro Preview measured |
| PostTrainBench | Not measured | 22.0% | Only Gemini 3.1 Pro Preview measured |
| Vending-Bench 2 | Not measured | $911 | Only Gemini 3.1 Pro Preview measured |
| MCP Atlas | Not measured | 78.2% | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 95.5% | Only Gemini 3.1 Pro Preview measured |
| MysteryMechanism (Vals AI) | Not measured | 20.7% | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | Not measured | 88.2% | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Artificial Analysis run) | 75.2% | 94.1% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 47.0% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | Not measured | 94.4% | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI | Not measured | 98.0% | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI-2 | Not measured | 77.1% | Only Gemini 3.1 Pro Preview measured |
| SimpleBench | Not measured | 79.6% | Only Gemini 3.1 Pro Preview measured |
| Chess puzzles | Not measured | 51.0% | Only Gemini 3.1 Pro Preview measured |
| Mystery game puzzles | Not measured | 34.0% | Only Gemini 3.1 Pro Preview measured |
| EBR-bench | Not measured | 14.3% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | 1342 | 1485 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1359 | 1483 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1356 | 1480 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | Not measured | 1311 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: homework | Not measured | 1316 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AIME | Not measured | 98.1% | Only Gemini 3.1 Pro Preview measured |
| OTIS Mock AIME | Not measured | 95.6% | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tiers 1 to 3 | Not measured | 59.6% | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only Gemini 3.1 Pro Preview measured |
| ProofBench | Not measured | 26.0% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: math | 1365 | 1486 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1350 | 1478 | Gemini 3.1 Pro Preview |
| MathArena | Not measured | 30.1% | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 91.0% | Only Gemini 3.1 Pro Preview measured |
| LegalBench (Vals AI) | Not measured | 87.4% | Only Gemini 3.1 Pro Preview measured |
| CaseLaw (Vals AI) | 57.9% | 64.8% | Gemini 3.1 Pro Preview |
| CorpFin (Vals AI) | 54.7% | 64.5% | Gemini 3.1 Pro Preview |
| TaxEval (Vals AI) | Not measured | 72.9% | Only Gemini 3.1 Pro Preview measured |
| MortgageTax (Vals AI) | Not measured | 69.4% | Only Gemini 3.1 Pro Preview measured |
| MedQA (Vals AI) | Not measured | 96.4% | Only Gemini 3.1 Pro Preview measured |
| MedCode (Vals AI) | Not measured | 59.1% | Only Gemini 3.1 Pro Preview measured |
| SimpleQA Verified | Not measured | 73.5% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | 1355 | 1497 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1349 | 1486 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1345 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1329 | 1459 | Gemini 3.1 Pro Preview |
| FACTS Benchmark Suite | Not measured | 67.4% | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 1234 | Gemini 3.1 Pro Preview |
| Design Arena: UI components | 1042 | 1224 | Gemini 3.1 Pro Preview |
| Design Arena: game dev | 1078 | 1202 | Gemini 3.1 Pro Preview |
| Design Arena: data viz | 1098 | 1209 | Gemini 3.1 Pro Preview |
| Design Arena: 3D | 1081 | 1234 | Gemini 3.1 Pro Preview |
| Design Arena: all code categories | 1116 | 1230 | Gemini 3.1 Pro Preview |
| Design Arena: SVG | 1016 | 1284 | Gemini 3.1 Pro Preview |
| Design Arena: ASCII art | 1041 | 1270 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | Not measured | 48.7% | Only Gemini 3.1 Pro Preview measured |
| MedScribe (Vals AI) | Not measured | 76.1% | Only Gemini 3.1 Pro Preview measured |
| Vals Multimodal Index | Not measured | 56.1% | Only Gemini 3.1 Pro Preview measured |
| IFBench | 56.3% | 77.1% | Gemini 3.1 Pro Preview |
| Long context reasoning (AA-LCR) | 38.0% | 82.0% | Gemini 3.1 Pro Preview |
| DTBench | Not measured | 97.1% | Only Gemini 3.1 Pro Preview measured |
| LMCA | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| CL-bench | Not measured | 20.8% | Only Gemini 3.1 Pro Preview measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| Furniture assembly | Not measured | 26.7% | Only Gemini 3.1 Pro Preview measured |
| ExploitBench | Not measured | 26.1% | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | Not measured | 16.9% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text | 1340 | 1480 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1326 | 1466 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1308 | 1482 | Gemini 3.1 Pro Preview |
| LMArena Vision | Not measured | 1296 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: English | 1356 | 1478 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1325 | 1476 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1371 | 1527 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1356 | 1490 | Gemini 3.1 Pro Preview |
| LMArena Text: Japanese | 1312 | 1491 | Gemini 3.1 Pro Preview |
| LMArena Text: Korean | 1306 | 1455 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1366 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1327 | 1481 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1338 | 1497 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1312 | 1498 | Gemini 3.1 Pro Preview |
| LMArena Text: multi-turn | 1320 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1318 | 1482 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1317 | 1481 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1296 | 1465 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | Not measured | 1287 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: Chinese | Not measured | 1364 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | Not measured | 1304 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: humor | Not measured | 1322 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: captioning | Not measured | 1345 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: recognizing things | Not measured | 1330 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: creative writing | Not measured | 1324 | Only Gemini 3.1 Pro Preview measured |
| LMArena Document | Not measured | 1444 | Only Gemini 3.1 Pro Preview measured |
| MultiChallenge | Not measured | 71.4% | Only Gemini 3.1 Pro Preview measured |
| EQ-Bench 4 | Not measured | 1142 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 7 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | Gemini 3.1 Pro Preview | 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
Trinity Large Thinking$0.0006Fits in one request
Gemini 3.1 Pro Preview$0.0080Fits in one request
Trinity Large Thinking costs less
Repository review
50K input + 3K output tokens
Trinity Large Thinking$0.015Fits in one request
Gemini 3.1 Pro Preview$0.136Fits in one request
Trinity Large Thinking costs less
Agent loop
200K input + 10K output tokens
Trinity Large Thinking$0.058Fits in one request
Gemini 3.1 Pro Preview$0.520Fits in one request
Trinity Large Thinking 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 Gemini 3.1 Pro Preview |
|---|---|---|
| Maker | Arcee AI | |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | February 19, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.25 | $2.00 |
| Output $/Mtok | $0.80 | $12.00 |
| Coding index | Not benchmarked | 32.3 |
| Independent measurements behind it | 1 | 4 |
| Cost per solved task | Not computable | $0.99 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than Gemini 3.1 Pro Preview for coding?
Only Gemini 3.1 Pro Preview has a coding score, 32.3 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 15.0x cheaper ($0.80 vs $12.00 per million).
Which is cheaper, Trinity Large Thinking or Gemini 3.1 Pro Preview?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Gemini 3.1 Pro Preview costs $2.00 and $12.00. Cost per solved task is known for Gemini 3.1 Pro Preview only.
Which has the bigger context window, Trinity Large Thinking or Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview, with 1.05M tokens against 262K.
How many benchmarks is the Trinity Large Thinking vs Gemini 3.1 Pro Preview comparison based on?
51 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Gemini 3.1 Pro Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.