Model comparison
Qwen3 8B vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 33.7 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)
Arcee AISummary
- They share 3 benchmarks with published results for both. Qwen3 8B scores higher in 0 categories and Trinity Large Thinking in 5 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 36.1.
- The biggest single-benchmark swing is SciCode: 22.6% for Qwen3 8B and 36.1% for Trinity Large Thinking.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 131K.
Side by side
| Qwen3 8B | Trinity Large Thinking | |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 33.7 | 38.6 |
| Released | 2025-04 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 8K | 80K |
| Input $ / M tokens | $0.18 | $0.25 |
| Output $ / M tokens | $0.70 | $0.80 |
| Results tracked | 11 | 24 |
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Category by category
Coding Too close to call
Qwen3 8B: 34.0 (#248), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Qwen3 8B | Trinity Large Thinking |
|---|---|---|
| SciCode | 22.6% | 36.1% |
| LMArena WebDev | — | 1238 |
| LMArena Coding | — | 1381 |
Agentic & Tool Use Not comparable
Qwen3 8B: 30.2 (#78), Trinity Large Thinking: —
| Benchmark | Qwen3 8B | Trinity Large Thinking |
|---|---|---|
| Berkeley Function Calling Leaderboard | 42.6% | — |
Reasoning Too close to call
Qwen3 8B: 16.6 (#303), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Qwen3 8B | Trinity Large Thinking |
|---|---|---|
| CritPt | 0% | 0.9% |
| NYT Connections (extended) | — | 16.5% |
| Chess Puzzles | 5% | — |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| DTBench | 59.7% | — |
| LMCA | 8.8% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 136.17 | — |
Math Trinity Large Thinking leads
Qwen3 8B: 34.9 (#191), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Qwen3 8B | Trinity Large Thinking |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 56.1% | — |
| LMArena Math | — | 1366 |
Knowledge Trinity Large Thinking leads
Qwen3 8B: 36.1 (#173), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Qwen3 8B | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 4.8% | 6.9% |
| GPQA Diamond | 56.8% | — |
| LMArena Expert | — | 1360 |
Multilingual Not comparable
Qwen3 8B: —, Trinity Large Thinking: 46.2 (#160)
| Benchmark | Qwen3 8B | 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 8B: —, Trinity Large Thinking: 70.5 (#162)
| Benchmark | Qwen3 8B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context Trinity Large Thinking leads
Qwen3 8B: 37.9 (#210), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Qwen3 8B | Trinity Large Thinking |
|---|---|---|
| Fiction.LiveBench | 62.1% | — |
| LMArena Longer Query | — | 1355 |
Writing & Preference Not comparable
Qwen3 8B: —, Trinity Large Thinking: 53.8 (#158)
| Benchmark | Qwen3 8B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is Qwen3 8B better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 33.7 on the Noometry Index.
Which is cheaper, Qwen3 8B or Trinity Large Thinking?
Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.
Is Qwen3 8B or Trinity Large Thinking better for coding?
They score almost the same on coding (34.0 vs 34.1); test both on your own repository before choosing.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 131K.
How many benchmarks do Qwen3 8B and Trinity Large Thinking share?
3 benchmarks have published results for both models. Qwen3 8B has 11 scored results on Noometry and Trinity Large Thinking has 24.