Trinity Large Thinking vs DeepSeek V3
Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Trinity Large Thinking scores 5.4 and DeepSeek V3 70.2 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking.
Pick Trinity Large Thinking when output tokens cost 1.3x less, or when the context window is larger, 262K against 164K tokens; pick DeepSeek V3 when what matters is Design Arena: UI components or Design Arena: 3D, where it leads.
- Shared results
- 7
- Trinity Large Thinking only
- 45
- DeepSeek V3 only
- 6
- Like-for-like categories
- 1 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
No call
5.4 against 70.2, from different benchmarks with none in common.
Directional only
Intelligence
AA Intelligence Index
No call
Only Trinity Large Thinking has a AA Intelligence Index result, 10.8.
Directional only
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
Trinity Large Thinking
Trinity Large Thinking leads, 1137 against 1120.
Same board, both measured
Long documents
Listed context window
Trinity Large Thinking
Trinity Large Thinking takes 262K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, DeepSeek V3 $0.0008 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking 5.4 from 1 benchmark, DeepSeek V3 70.2 from 1 benchmark.
- Widest category
- Web design, 2.7 points apart on average over 7 shared benchmarks.
- Widest single gap
- Design Arena: UI components: Trinity Large Thinking 1045 against DeepSeek V3 1093, 6.0 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against DeepSeek V3 $1.0287 per million output tokens, 1.3x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, DeepSeek V3 164K.
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 | DeepSeek V3 | Ties |
|---|---|---|---|---|
| Web design | 5 | 2 | ||
| All shared boards | 5 | 2 |
CodingDirectional onlyFour of these boards feed the Vibe Coding Index10 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V3 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 70.2% | Only DeepSeek V3 measured |
| SWE-bench Lite | Not measured | 30.7% | Only DeepSeek V3 measured |
| LMArena WebDev | 1238 | Not measured | Only Trinity Large Thinking measured |
| AA Coding Index | 25.8 | Not measured | Only Trinity Large Thinking measured |
| SciCode | 40.6% | Not measured | Only Trinity Large Thinking measured |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: coding | 1357 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: software and IT | 1362 | Not measured | Only Trinity Large Thinking measured |
| LMArena WebDev: React | 1231 | Not measured | Only Trinity Large Thinking measured |
| LMArena WebDev: HTML | 1240 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V3 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| τ²-Bench Telecom | 90.1% | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | Not measured | Only Trinity Large Thinking measured |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | Not measured | Only Trinity Large Thinking measured |
| GPQA Diamond (Epoch AI run) | Not measured | 71.2% | Only DeepSeek V3 measured |
| LMArena Text: hard prompts | 1342 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: expert | 1359 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: hard prompts in English | 1356 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 48.9% | Only DeepSeek V3 measured |
| LMArena Text: math | 1365 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: mathematical work | 1350 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V3 | 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 |
| LMArena Text: science | 1355 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: medicine and healthcare | 1349 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: legal and government | 1345 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: business and finance | 1329 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Trinity Large Thinking | DeepSeek V3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 1120 | Trinity Large Thinking |
| Design Arena: UI components | 1045 | 1093 | DeepSeek V3 |
| Design Arena: game dev | 1079 | 1054 | Trinity Large Thinking |
| Design Arena: data viz | 1098 | 1089 | Trinity Large Thinking |
| Design Arena: 3D | 1082 | 1087 | DeepSeek V3 |
| Design Arena: all code categories | 1117 | 1108 | Trinity Large Thinking |
| Design Arena: SVG | 1016 | 976 | Trinity Large Thinking |
| Design Arena: ASCII art | 1041 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index22 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V3 | Leader |
|---|---|---|---|
| IFBench | 56.3% | Not measured | Only Trinity Large Thinking measured |
| Long context reasoning (AA-LCR) | 38.0% | Not measured | Only Trinity Large Thinking measured |
| DTBench | Not measured | 62.7% | Only DeepSeek V3 measured |
| LMCA | Not measured | 15.2% | Only DeepSeek V3 measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: instruction following | 1326 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: creative writing | 1308 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: English | 1356 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: non-English | 1325 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: Chinese | 1371 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: German | 1356 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: Japanese | 1312 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: Korean | 1306 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: French | 1366 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: Spanish | 1327 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: Russian | 1338 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: Polish | 1312 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: multi-turn | 1320 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: longer queries | 1318 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: writing and language | 1317 | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: entertainment and media | 1296 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V3 | 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 | DeepSeek V3 |
|---|---|---|
| Maker | Arcee AI | DeepSeek |
| Weights | Open weights | Open weights |
| Released | April 1, 2026 | December 26, 2024 |
| Context window | 262K | 164K |
| Input $/Mtok | $0.25 | $0.2574 |
| Output $/Mtok | $0.80 | $1.0287 |
| Coding index | 5.4 | 70.2 |
| 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 DeepSeek V3 for coding?
Trinity Large Thinking scores 5.4 and DeepSeek V3 70.2 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking. Pick Trinity Large Thinking when output tokens cost 1.3x less, or when the context window is larger, 262K against 164K tokens; pick DeepSeek V3 when what matters is Design Arena: UI components or Design Arena: 3D, where it leads.
Which is cheaper, Trinity Large Thinking or DeepSeek V3?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; DeepSeek V3 costs $0.2574 and $1.0287. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or DeepSeek V3?
Trinity Large Thinking, with 262K tokens against 164K.
How many benchmarks is the Trinity Large Thinking vs DeepSeek V3 comparison based on?
7 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and DeepSeek V3's on 1. Where only one model has a result, the page says so instead of naming a winner.