Model comparison
Gemini 1.5 Flash (May 2024) vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 33.2 on the Noometry Index.
Last verified . 17 shared benchmarks.
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Arcee AISummary
- They share 17 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 2 categories and Trinity Large Thinking in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Trinity Large Thinking leads 37.6 to 22.1.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | Trinity Large Thinking | |
|---|---|---|
| Provider | Arcee AI | |
| Noometry Index | 33.2 | 38.6 |
| Released | 2024-05-14 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 42 | 24 |
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Category by category
Coding Too close to call
Gemini 1.5 Flash (May 2024): 34.4 (#236), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1261 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.6 (#102), Trinity Large Thinking: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| DTBench | 53.8% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 129.36 | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math Trinity Large Thinking leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1269 | 1366 |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Trinity Large Thinking leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1233 | 1360 |
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| Vectara Hallucination Rate | — | 6.9% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), Trinity Large Thinking: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Trinity Large Thinking leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1278 | 1325 |
| LMArena Chinese | 1295 | 1373 |
| LMArena French | 1258 | 1374 |
| LMArena German | 1262 | 1356 |
| LMArena Japanese | 1252 | 1311 |
| LMArena Korean | 1221 | 1306 |
| LMArena Russian | 1288 | 1337 |
| LMArena Spanish | 1243 | 1357 |
Instruction Following Trinity Large Thinking leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1258 | 1334 |
| IFEval | 83.1% | — |
Long Context Trinity Large Thinking leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1284 | 1355 |
Writing & Preference Trinity Large Thinking leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Gemini 1.5 Flash (May 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1287 | 1340 |
| LMArena Creative Writing | 1285 | 1320 |
| LMArena Multi-Turn | 1253 | 1342 |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 33.2 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Trinity Large Thinking better for coding?
They score almost the same on coding (34.4 vs 34.1); test both on your own repository before choosing.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Trinity Large Thinking share?
17 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Trinity Large Thinking has 24.