Model comparison
Qwen3-4B vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 31.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Qwen3-4B scores higher in 1 category and Trinity Large Thinking in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Trinity Large Thinking leads 37.6 to 29.7.
Side by side
| Qwen3-4B | Trinity Large Thinking | |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 31.9 | 38.6 |
| Released | 2025-04-29 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 6 | 24 |
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Category by category
Coding Not comparable
Qwen3-4B: —, Trinity Large Thinking: 34.1 (#244)
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |
Agentic & Tool Use Not comparable
Qwen3-4B: 27.6 (#100), Trinity Large Thinking: —
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| Berkeley Function Calling Leaderboard | 35.7% | — |
Reasoning Qwen3-4B leads
Qwen3-4B: 19.2 (#268), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 4% | — |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Surface Evolver Bench | — | 15.6% |
Math Trinity Large Thinking leads
Qwen3-4B: 29.7 (#240), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| MathArena Final-Answer Competitions | 38.5% | — |
| OTIS Mock AIME 2024-2025 | 52.2% | — |
| LMArena Math | — | 1366 |
Knowledge Trinity Large Thinking leads
Qwen3-4B: 33.0 (#208), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 5.7% | 6.9% |
| GPQA Diamond | 52.3% | — |
| LMArena Expert | — | 1360 |
Multilingual Not comparable
Qwen3-4B: —, Trinity Large Thinking: 46.2 (#160)
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1337 |
| LMArena Spanish | — | 1357 |
Instruction Following Not comparable
Qwen3-4B: —, Trinity Large Thinking: 70.5 (#162)
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context Not comparable
Qwen3-4B: —, Trinity Large Thinking: 41.3 (#144)
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Not comparable
Qwen3-4B: —, Trinity Large Thinking: 53.8 (#158)
| Benchmark | Qwen3-4B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is Qwen3-4B better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 31.9 on the Noometry Index.
How many benchmarks do Qwen3-4B and Trinity Large Thinking share?
1 benchmark has published results for both models. Qwen3-4B has 6 scored results on Noometry and Trinity Large Thinking has 24.