Trinity Large Thinking vs DeepSeek V4 Flash Vision Exp
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
Pick DeepSeek V4 Flash Vision Exp for coding: it scores 37.6 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.
Trinity Large Thinking is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 7
- Trinity Large Thinking only
- 45
- DeepSeek V4 Flash Vision Exp only
- 7
- Like-for-like categories
- 5 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
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp scores 37.6 against 5.4.
One benchmark behind each score
Intelligence
AA Intelligence Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 34.8 against 10.8.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 47.5 against 1.0.
Same board, both measured
Web design
Design Arena: websites
No call
Only Trinity Large Thinking has a Design Arena: websites result, 1137.
Directional only
Long documents
Listed context window
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash Vision Exp
Trinity Large Thinking $0.0006, DeepSeek V4 Flash Vision Exp $0.0005 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking 5.4 from 1 benchmark, DeepSeek V4 Flash Vision Exp 37.6 from 1 benchmark.
- Widest category
- Agentic work, 46.5 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Agentic Index: Trinity Large Thinking 1.0 against DeepSeek V4 Flash Vision Exp 47.5, 46.5 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against DeepSeek V4 Flash Vision Exp $0.6468 per million output tokens, 1.2x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, DeepSeek V4 Flash Vision Exp 1.05M.
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 V4 Flash Vision Exp | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| General | 0 | 1 | ||
| All shared boards | 0 | 7 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 37.6% | Only DeepSeek V4 Flash Vision Exp measured |
| LMArena WebDev | 1238 | Not measured | Only Trinity Large Thinking measured |
| AA Coding Index | 25.8 | 65.0 | DeepSeek V4 Flash Vision Exp |
| SciCode | 40.6% | 49.7% | DeepSeek V4 Flash Vision Exp |
| 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 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 34.8 | DeepSeek V4 Flash Vision Exp |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 47.5 | DeepSeek V4 Flash Vision Exp |
| LiveBench research | Not measured | 69.2% | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench browser | Not measured | 64.0% | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench long agentic | Not measured | 39.0% | Only DeepSeek V4 Flash Vision Exp measured |
| τ²-Bench Telecom | 90.1% | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 85.4% | Only DeepSeek V4 Flash Vision Exp measured |
| GPQA Diamond (Artificial Analysis run) | 75.2% | 91.3% | DeepSeek V4 Flash Vision Exp |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 34.5% | DeepSeek V4 Flash Vision Exp |
| 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 index2 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | Leader |
|---|---|---|---|
| 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 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | 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 designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: UI components | 1045 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: game dev | 1079 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: data viz | 1098 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: 3D | 1082 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: all code categories | 1117 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: SVG | 1016 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: ASCII art | 1041 | Not measured | Only Trinity Large Thinking measured |
| LiveBench design | Not measured | 70.7% | Only DeepSeek V4 Flash Vision Exp measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 79.5% | Only DeepSeek V4 Flash Vision Exp measured |
| IFBench | 56.3% | Not measured | Only Trinity Large Thinking measured |
| Long context reasoning (AA-LCR) | 38.0% | 81.3% | DeepSeek V4 Flash Vision Exp |
| 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 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | DeepSeek V4 Flash Vision Exp | 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
DeepSeek V4 Flash Vision Exp costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash Vision Exp costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash Vision Exp 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 V4 Flash Vision Exp |
|---|---|---|
| Maker | Arcee AI | DeepSeek |
| Weights | Open weights | Open weights |
| Released | April 1, 2026 | August 21, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.25 | $0.2156 |
| Output $/Mtok | $0.80 | $0.6468 |
| Coding index | 5.4 | 37.6 |
| 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 V4 Flash Vision Exp for coding?
Pick DeepSeek V4 Flash Vision Exp for coding: it scores 37.6 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Trinity Large Thinking is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, Trinity Large Thinking or DeepSeek V4 Flash Vision Exp?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; DeepSeek V4 Flash Vision Exp costs $0.2156 and $0.6468. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or DeepSeek V4 Flash Vision Exp?
DeepSeek V4 Flash Vision Exp, with 1.05M tokens against 262K.
How many benchmarks is the Trinity Large Thinking vs DeepSeek V4 Flash Vision Exp 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 V4 Flash Vision Exp's on 1. Where only one model has a result, the page says so instead of naming a winner.