Model comparison
Qwen3-Coder 480B-A35B Instruct vs Trinity Large Thinking
Qwen3-Coder 480B-A35B Instruct and Trinity Large Thinking score almost the same on the Noometry Index (38.1 vs 38.6), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)
Arcee AISummary
- They share 18 benchmarks with published results for both. Qwen3-Coder 480B-A35B Instruct scores higher in 6 categories and Trinity Large Thinking in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 25.5 to 16.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
Side by side
| Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking | |
|---|---|---|
| Provider | Alibaba (Qwen) | Arcee AI |
| Noometry Index | 38.1 | 38.6 |
| Released | 2025-04 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 66K | 80K |
| Input $ / M tokens | $1.50 | $0.25 |
| Output $ / M tokens | $7.50 | $0.80 |
| Results tracked | 25 | 24 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Qwen3-Coder 480B-A35B Instruct: 35.5 (#223), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1275 | 1238 |
| LMArena Coding | 1412 | 1381 |
| SWE-bench Verified (bash only) | 55.4% | — |
| SciCode | — | 36.1% |
| GSO | 4.9% | — |
| WeirdML | 41.2% | — |
| ALE-Bench | 461.45 | — |
| AlgoTune | 1.44 | — |
Agentic & Tool Use Not comparable
Qwen3-Coder 480B-A35B Instruct: 23.9 (#123), Trinity Large Thinking: —
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 27.2% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Qwen3-Coder 480B-A35B Instruct: 25.5 (#149), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1350 |
| Kagi LLM Benchmark | 49.5% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Too close to call
Qwen3-Coder 480B-A35B Instruct: 37.6 (#150), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1365 | 1366 |
Knowledge Trinity Large Thinking leads
Qwen3-Coder 480B-A35B Instruct: 37.0 (#162), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1338 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Qwen3-Coder 480B-A35B Instruct: 47.7 (#148), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1346 | 1325 |
| LMArena Chinese | 1357 | 1373 |
| LMArena French | 1398 | 1374 |
| LMArena German | 1325 | 1356 |
| LMArena Japanese | 1310 | 1311 |
| LMArena Korean | 1305 | 1306 |
| LMArena Russian | 1366 | 1337 |
| LMArena Spanish | 1360 | 1357 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Qwen3-Coder 480B-A35B Instruct: 71.6 (#147), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1355 | 1334 |
Long Context Too close to call
Qwen3-Coder 480B-A35B Instruct: 42.0 (#131), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1378 | 1355 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Qwen3-Coder 480B-A35B Instruct: 55.3 (#147), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Qwen3-Coder 480B-A35B Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1357 | 1340 |
| LMArena Creative Writing | 1333 | 1320 |
| LMArena Multi-Turn | 1365 | 1342 |
Frequently asked questions
Is Qwen3-Coder 480B-A35B Instruct better than Trinity Large Thinking?
Qwen3-Coder 480B-A35B Instruct and Trinity Large Thinking score almost the same on the Noometry Index (38.1 vs 38.6), so choose on price, context window or the category you care about most.
Which is cheaper, Qwen3-Coder 480B-A35B Instruct 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-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Qwen3-Coder 480B-A35B Instruct or Trinity Large Thinking better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Qwen3-Coder 480B-A35B Instruct and Trinity Large Thinking share?
18 benchmarks have published results for both models. Qwen3-Coder 480B-A35B Instruct has 25 scored results on Noometry and Trinity Large Thinking has 24.