Model comparison
Qwen3-VL 235B-A22B vs Trinity Large Thinking
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 38.6 on the Noometry Index. Trinity Large Thinking costs 3.2× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)
Arcee AISummary
- They share 17 benchmarks with published results for both. Qwen3-VL 235B-A22B scores higher in 7 categories and Trinity Large Thinking in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-VL 235B-A22B leads 29.3 to 16.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.70 / $2.80 for Qwen3-VL 235B-A22B.
- Trinity Large Thinking accepts more context: 262K tokens versus 131K.
Side by side
| Qwen3-VL 235B-A22B | Trinity Large Thinking | |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 43.2 | 38.6 |
| Released | 2025-04 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 33K | 80K |
| Input $ / M tokens | $0.70 | $0.25 |
| Output $ / M tokens | $2.80 | $0.80 |
| Results tracked | 18 | 24 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 42.4 (#100), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1439 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
Reasoning Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 29.3 (#92), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1428 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 39.0 (#118), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1426 | 1366 |
Knowledge Too close to call
Qwen3-VL 235B-A22B: 40.3 (#121), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1442 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multimodal Not comparable
Qwen3-VL 235B-A22B: 39.8 (#55), Trinity Large Thinking: —
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1247 | — |
Multilingual Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 51.9 (#97), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1405 | 1325 |
| LMArena Chinese | 1463 | 1373 |
| LMArena French | 1452 | 1374 |
| LMArena German | 1424 | 1356 |
| LMArena Japanese | 1385 | 1311 |
| LMArena Korean | 1394 | 1306 |
| LMArena Russian | 1408 | 1337 |
| LMArena Spanish | 1428 | 1357 |
Instruction Following Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 74.2 (#101), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1406 | 1334 |
Long Context Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 43.4 (#98), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1420 | 1355 |
Writing & Preference Qwen3-VL 235B-A22B leads
Qwen3-VL 235B-A22B: 60.2 (#99), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Qwen3-VL 235B-A22B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1420 | 1340 |
| LMArena Creative Writing | 1366 | 1320 |
| LMArena Multi-Turn | 1428 | 1342 |
Frequently asked questions
Is Qwen3-VL 235B-A22B better than Trinity Large Thinking?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 38.6 on the Noometry Index. Trinity Large Thinking costs 3.2× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Which is cheaper, Qwen3-VL 235B-A22B 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; Qwen3-VL 235B-A22B lists at $0.70 and $2.80.
Is Qwen3-VL 235B-A22B or Trinity Large Thinking better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 42.4 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 131K.
How many benchmarks do Qwen3-VL 235B-A22B and Trinity Large Thinking share?
17 benchmarks have published results for both models. Qwen3-VL 235B-A22B has 18 scored results on Noometry and Trinity Large Thinking has 24.