Model comparison
Gemini 2.5 Pro vs Trinity Large Thinking
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 38.6 on the Noometry Index. Trinity Large Thinking costs 8.9× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 7 categories and Trinity Large Thinking in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 41.3.
- The biggest single-benchmark swing is SciCode: 42.8% for Gemini 2.5 Pro and 36.1% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Trinity Large Thinking | |
|---|---|---|
| Provider | Arcee AI | |
| Noometry Index | 45.0 | 38.6 |
| Released | 2025-03-25 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 80K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $10 | $0.80 |
| Results tracked | 78 | 24 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1227 | 1238 |
| SciCode | 42.8% | 36.1% |
| LMArena Coding | 1452 | 1381 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), Trinity Large Thinking: —
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| CritPt | 2% | 0.9% |
| LMArena Hard Prompts | 1455 | 1350 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 16.5% |
| ARC-AGI-1 | 41% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| Thematic Generalization | — | 41.6% |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Trinity Large Thinking leads
Gemini 2.5 Pro: 32.5 (#213), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1450 | 1366 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 7% | 6.9% |
| LMArena Expert | 1452 | 1360 |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Trinity Large Thinking: —
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1451 | 1325 |
| LMArena Chinese | 1507 | 1373 |
| LMArena French | 1472 | 1374 |
| LMArena German | 1487 | 1356 |
| LMArena Japanese | 1461 | 1311 |
| LMArena Korean | 1434 | 1306 |
| LMArena Russian | 1461 | 1337 |
| LMArena Spanish | 1473 | 1357 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1437 | 1334 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1449 | 1355 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Gemini 2.5 Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1458 | 1340 |
| LMArena Creative Writing | 1454 | 1320 |
| LMArena Multi-Turn | 1453 | 1342 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Trinity Large Thinking?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 38.6 on the Noometry Index. Trinity Large Thinking costs 8.9× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro 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 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Trinity Large Thinking better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Pro and Trinity Large Thinking share?
21 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Trinity Large Thinking has 24.