Model comparison
Gemini 3.1 Pro Preview vs Trinity Large Thinking
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 38.6 on the Noometry Index. Trinity Large Thinking costs 12× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and Trinity Large Thinking in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 16.9.
- The biggest single-benchmark swing is NYT Connections (extended): 97.4% for Gemini 3.1 Pro Preview and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.1 Pro Preview | Trinity Large Thinking | |
|---|---|---|
| Provider | Arcee AI | |
| Noometry Index | 56.7 | 38.6 |
| Released | 2026-02-19 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 80K |
| Input $ / M tokens | $2 | $0.25 |
| Output $ / M tokens | $12 | $0.80 |
| Results tracked | 71 | 24 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 42.5 (#99), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1447 | 1238 |
| SciCode | 58.9% | 36.1% |
| LMArena Coding | 1484 | 1381 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), Trinity Large Thinking: —
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 97.4% | 16.5% |
| CritPt | 17.7% | 0.9% |
| Thematic Generalization | 79.4% | 41.6% |
| LMArena Hard Prompts | 1485 | 1350 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| ARC-AGI-1 | 98% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 154.77 | — |
| ForecastBench | 59 | — |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1485 | 1366 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 10.4% | 6.9% |
| LMArena Expert | 1485 | 1360 |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
Multimodal Not comparable
Gemini 3.1 Pro Preview: 37.9 (#69), Trinity Large Thinking: —
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 57.0 (#12), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1477 | 1325 |
| LMArena Chinese | 1529 | 1373 |
| LMArena French | 1487 | 1374 |
| LMArena German | 1491 | 1356 |
| LMArena Japanese | 1493 | 1311 |
| LMArena Korean | 1455 | 1306 |
| LMArena Russian | 1498 | 1337 |
| LMArena Spanish | 1479 | 1357 |
Instruction Following Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 77.0 (#32), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1466 | 1334 |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1483 | 1355 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Gemini 3.1 Pro Preview | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1481 | 1340 |
| LMArena Creative Writing | 1482 | 1320 |
| LMArena Multi-Turn | 1488 | 1342 |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than Trinity Large Thinking?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 38.6 on the Noometry Index. Trinity Large Thinking costs 12× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview or Trinity Large Thinking?
Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or Trinity Large Thinking better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.1 Pro Preview and Trinity Large Thinking share?
23 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Trinity Large Thinking has 24.