Trinity Large Thinking vs Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 11.9 to 10.8, and Trinity Large Thinking costs 1.9x less per output token ($0.80 vs $1.50 per million). Updated October 22, 2026; 43 benchmarks have a result for both.
Trinity Large Thinking or Qwen3 Coder 480B A35B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Trinity Large Thinking for output tokens 1.9x cheaper ($0.80 vs $1.50 per million) and work measured by LMArena WebDev or LMArena Text: coding, where it leads.
- Shared results
- 43
- Trinity Large Thinking only
- 9
- Qwen3 Coder 480B A35B only
- 10
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B leads, 11.9 against 10.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Trinity Large Thinking has a AA Agentic Index result, 1.0.
Directional only
Web design
Design Arena: websites
Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B leads, 1158 against 1137.
Same board, both measured
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, Qwen3 Coder 480B A35B $0.0010 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
- Widest category
- Agentic work, 46.5 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Trinity Large Thinking 90.1% against Qwen3 Coder 480B A35B 43.6%, 46.5 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.9x apart.
- Context window
- Both take 262K tokens.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Trinity Large Thinking | Bars | Qwen3 Coder 480B A35B | Ties |
|---|---|---|---|---|
| Coding | 1 | 5 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 2 | ||
| Web design | 1 | 4 | ||
| General | 5 | 14 | ||
| All shared boards | 13 | 30 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 69.6% | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev | 1238 | 1275 | Qwen3 Coder 480B A35B |
| AA Coding Index | 25.8 | Not measured | Only Trinity Large Thinking measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 58.5% | Only Qwen3 Coder 480B A35B measured |
| SciCode | 40.6% | Not measured | Only Trinity Large Thinking measured |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 18.9% | Trinity Large Thinking |
| Terminal-Bench | Not measured | 27.2% | Only Qwen3 Coder 480B A35B measured |
| GSO-Bench | Not measured | 4.9% | Only Qwen3 Coder 480B A35B measured |
| WeirdML | Not measured | 41.2% | Only Qwen3 Coder 480B A35B measured |
| ALE-Bench | Not measured | 461.4 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: coding | 1357 | 1412 | Qwen3 Coder 480B A35B |
| LMArena Text: software and IT | 1362 | 1393 | Qwen3 Coder 480B A35B |
| LMArena WebDev: React | 1231 | 1257 | Qwen3 Coder 480B A35B |
| LMArena WebDev: HTML | 1240 | 1287 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 11.9 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| τ²-Bench Telecom | 90.1% | 43.6% | Trinity Large Thinking |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | 61.8% | Trinity Large Thinking |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 4.5% | Trinity Large Thinking |
| LMArena Text: hard prompts | 1342 | 1372 | Qwen3 Coder 480B A35B |
| LMArena Text: expert | 1359 | 1338 | Trinity Large Thinking |
| LMArena Text: hard prompts in English | 1356 | 1380 | Qwen3 Coder 480B A35B |
| Kagi LLM Benchmark | Not measured | 49.5% | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 39.3 | Only Qwen3 Coder 480B A35B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 39.3% | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: math | 1365 | 1365 | Qwen3 Coder 480B A35B |
| LMArena Text: mathematical work | 1350 | 1367 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 57.9% | Not measured | Only Trinity Large Thinking measured |
| CorpFin (Vals AI) | 54.7% | Not measured | Only Trinity Large Thinking measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 78.8% | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: science | 1355 | 1347 | Trinity Large Thinking |
| LMArena Text: medicine and healthcare | 1349 | 1347 | Trinity Large Thinking |
| LMArena Text: legal and government | 1345 | 1358 | Qwen3 Coder 480B A35B |
| LMArena Text: business and finance | 1329 | 1343 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 1158 | Qwen3 Coder 480B A35B |
| Design Arena: UI components | 1042 | 1110 | Qwen3 Coder 480B A35B |
| Design Arena: game dev | 1078 | 1098 | Qwen3 Coder 480B A35B |
| Design Arena: data viz | 1098 | 1084 | Trinity Large Thinking |
| Design Arena: 3D | 1081 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: all code categories | 1117 | 1142 | Qwen3 Coder 480B A35B |
| Design Arena: SVG | 1016 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: ASCII art | 1041 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index514
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| IFBench | 56.3% | 40.5% | Trinity Large Thinking |
| Long context reasoning (AA-LCR) | 38.0% | 45.7% | Qwen3 Coder 480B A35B |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1357 | Qwen3 Coder 480B A35B |
| LMArena Text: instruction following | 1326 | 1355 | Qwen3 Coder 480B A35B |
| LMArena Text: creative writing | 1308 | 1333 | Qwen3 Coder 480B A35B |
| LMArena Text: English | 1356 | 1359 | Qwen3 Coder 480B A35B |
| LMArena Text: non-English | 1325 | 1346 | Qwen3 Coder 480B A35B |
| LMArena Text: Chinese | 1371 | 1357 | Trinity Large Thinking |
| LMArena Text: German | 1356 | 1325 | Trinity Large Thinking |
| LMArena Text: Japanese | 1312 | 1311 | Trinity Large Thinking |
| LMArena Text: Korean | 1306 | 1305 | Trinity Large Thinking |
| LMArena Text: French | 1366 | 1398 | Qwen3 Coder 480B A35B |
| LMArena Text: Spanish | 1327 | 1360 | Qwen3 Coder 480B A35B |
| LMArena Text: Russian | 1338 | 1366 | Qwen3 Coder 480B A35B |
| LMArena Text: Polish | 1312 | 1344 | Qwen3 Coder 480B A35B |
| LMArena Text: multi-turn | 1320 | 1366 | Qwen3 Coder 480B A35B |
| LMArena Text: longer queries | 1318 | 1378 | Qwen3 Coder 480B A35B |
| LMArena Text: writing and language | 1317 | 1340 | Qwen3 Coder 480B A35B |
| LMArena Text: entertainment and media | 1296 | 1317 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Trinity Large Thinking costs less
Repository review
50K input + 3K output tokens
Trinity Large Thinking costs less
Agent loop
200K input + 10K output tokens
Trinity Large Thinking costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Arcee AI Trinity Large Thinking | Qwen3 Coder 480B A35B |
|---|---|---|
| Maker | Arcee AI | Qwen |
| Weights | Open weights | Open weights |
| Released | April 1, 2026 | July 23, 2025 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.25 | $0.30 |
| Output $/Mtok | $0.80 | $1.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than Qwen3 Coder 480B A35B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 1.9x cheaper ($0.80 vs $1.50 per million) and work measured by LMArena WebDev or LMArena Text: coding, where it leads.
Which is cheaper, Trinity Large Thinking or Qwen3 Coder 480B A35B?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or Qwen3 Coder 480B A35B?
Neither: both take 262K tokens.
How many benchmarks is the Trinity Large Thinking vs Qwen3 Coder 480B A35B comparison based on?
43 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.