Trinity Large Thinking vs o4 Mini
Updated October 21, 2026. 42 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick o4 Mini for coding: it scores 68.6 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.
Pick Trinity Large Thinking when output tokens cost 5.5x less, or when the context window is larger, 262K against 200K tokens.
- Shared results
- 42
- Trinity Large Thinking only
- 10
- o4 Mini only
- 52
- Like-for-like categories
- 8 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
o4 Mini
o4 Mini scores 68.6 against 5.4.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
o4 Mini
o4 Mini leads, 16.7 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
Reasoning
GPQA Diamond
No call
Only o4 Mini has a GPQA Diamond result, 74.5%.
Directional only
Math
AIME
No call
Only o4 Mini has a AIME result, 83.7%.
Directional only
Knowledge
MMLU Pro
No call
Only o4 Mini has a MMLU Pro result, 80.6%.
Directional only
Web design
Design Arena: websites
Trinity Large Thinking
Trinity Large Thinking leads, 1137 against 985.
Same board, both measured
Long documents
Listed context window
Trinity Large Thinking
Trinity Large Thinking takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, o4 Mini $0.0033 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking 5.4 from 1 benchmark, o4 Mini 68.6 from 2 benchmarks.
- Widest category
- Agentic work, 34.5 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Trinity Large Thinking 90.1% against o4 Mini 55.6%, 34.5 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against o4 Mini $4.40 per million output tokens, 5.5x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, o4 Mini 200K.
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 | o4 Mini | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 3 | ||
| Web design | 6 | 0 | ||
| General | 9 | 10 | ||
| All shared boards | 20 | 22 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index12
| Benchmark | Trinity Large Thinking | o4 Mini | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 72.0% | Only o4 Mini measured |
| SWE-bench Verified | Not measured | 64.6% | Only o4 Mini measured |
| SWE-bench Multimodal | Not measured | 33.9% | Only o4 Mini measured |
| LMArena WebDev | 1238 | Not measured | Only Trinity Large Thinking measured |
| AA Coding Index | 25.8 | Not measured | Only Trinity Large Thinking measured |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only o4 Mini measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 85.9% | Only o4 Mini measured |
| SciCode | 40.6% | Not measured | Only Trinity Large Thinking measured |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 15.2% | Trinity Large Thinking |
| GSO-Bench | Not measured | 3.6% | Only o4 Mini measured |
| WeirdML | Not measured | 52.6% | Only o4 Mini measured |
| LMArena Text: coding | 1357 | 1368 | o4 Mini |
| LMArena Text: software and IT | 1362 | 1367 | o4 Mini |
| 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 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | o4 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 16.7 | o4 Mini |
| Epoch Capabilities Index | Not measured | 145.5 | Only o4 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Trinity Large Thinking | o4 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| τ²-Bench Telecom | 90.1% | 55.6% | Trinity Large Thinking |
| METR time horizons | Not measured | 63.9% | Only o4 Mini measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Trinity Large Thinking | o4 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 74.5% | Only o4 Mini measured |
| MMMU Pro (Vals AI) | Not measured | 79.7% | Only o4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 75.2% | 78.4% | o4 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 16.5% | o4 Mini |
| GPQA Diamond (Epoch AI run) | Not measured | 79.6% | Only o4 Mini measured |
| ARC-AGI | Not measured | 58.7% | Only o4 Mini measured |
| ARC-AGI-2 | Not measured | 6.1% | Only o4 Mini measured |
| SimpleBench | Not measured | 38.7% | Only o4 Mini measured |
| Chess puzzles | Not measured | 22.0% | Only o4 Mini measured |
| Mystery game puzzles | Not measured | 5.0% | Only o4 Mini measured |
| VPCT | Not measured | 57.5% | Only o4 Mini measured |
| LMArena Text: hard prompts | 1342 | 1351 | o4 Mini |
| LMArena Text: expert | 1359 | 1343 | Trinity Large Thinking |
| LMArena Text: hard prompts in English | 1356 | 1366 | o4 Mini |
| LMArena Vision: diagrams | Not measured | 1197 | Only o4 Mini measured |
| LMArena Vision: homework | Not measured | 1234 | Only o4 Mini measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | o4 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 83.7% | Only o4 Mini measured |
| MATH 500 (Vals AI) | Not measured | 94.2% | Only o4 Mini measured |
| MGSM (Vals AI) | Not measured | 93.4% | Only o4 Mini measured |
| AA Math Index | Not measured | 90.7 | Only o4 Mini measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 90.7% | Only o4 Mini measured |
| OTIS Mock AIME | Not measured | 81.7% | Only o4 Mini measured |
| FrontierMath, tiers 1 to 3 | Not measured | 36.1% | Only o4 Mini measured |
| FrontierMath, tier 4 | Not measured | 4.9% | Only o4 Mini measured |
| MATH level 5 | Not measured | 97.8% | Only o4 Mini measured |
| LMArena Text: math | 1365 | 1389 | o4 Mini |
| LMArena Text: mathematical work | 1350 | 1379 | o4 Mini |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Trinity Large Thinking | o4 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 80.6% | Only o4 Mini measured |
| LegalBench (Vals AI) | Not measured | 79.2% | Only o4 Mini measured |
| CaseLaw (Vals AI) | 57.9% | Not measured | Only Trinity Large Thinking measured |
| CorpFin (Vals AI) | 54.7% | 59.0% | o4 Mini |
| TaxEval (Vals AI) | Not measured | 74.8% | Only o4 Mini measured |
| MortgageTax (Vals AI) | Not measured | 64.8% | Only o4 Mini measured |
| MedQA (Vals AI) | Not measured | 96.0% | Only o4 Mini measured |
| MedCode (Vals AI) | Not measured | 33.8% | Only o4 Mini measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 83.2% | Only o4 Mini measured |
| SimpleQA Verified | Not measured | 19.6% | Only o4 Mini measured |
| GeoBench | Not measured | 64.0% | Only o4 Mini measured |
| LMArena Text: science | 1355 | 1354 | Trinity Large Thinking |
| LMArena Text: medicine and healthcare | 1349 | 1361 | o4 Mini |
| LMArena Text: legal and government | 1345 | 1350 | o4 Mini |
| LMArena Text: business and finance | 1329 | 1325 | Trinity Large Thinking |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Trinity Large Thinking | o4 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 985 | Trinity Large Thinking |
| Design Arena: UI components | 1045 | 983 | Trinity Large Thinking |
| Design Arena: game dev | 1079 | 1004 | Trinity Large Thinking |
| Design Arena: data viz | 1098 | 990 | Trinity Large Thinking |
| Design Arena: 3D | 1082 | 854 | Trinity Large Thinking |
| Design Arena: all code categories | 1117 | 977 | Trinity Large Thinking |
| 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 index910
| Benchmark | Trinity Large Thinking | o4 Mini | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 41.1% | Only o4 Mini measured |
| MedScribe (Vals AI) | Not measured | 69.1% | Only o4 Mini measured |
| IFBench | 56.3% | 68.7% | o4 Mini |
| Long context reasoning (AA-LCR) | 38.0% | 61.0% | o4 Mini |
| DTBench | Not measured | 77.6% | Only o4 Mini measured |
| LMCA | Not measured | 26.5% | Only o4 Mini measured |
| Fiction.LiveBench | Not measured | 77.8% | Only o4 Mini measured |
| Creative writing (Lech Mazur) | Not measured | 75.0% | Only o4 Mini measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1353 | o4 Mini |
| LMArena Text: instruction following | 1326 | 1320 | Trinity Large Thinking |
| LMArena Text: creative writing | 1308 | 1294 | Trinity Large Thinking |
| LMArena Vision | Not measured | 1194 | Only o4 Mini measured |
| LMArena Text: English | 1356 | 1367 | o4 Mini |
| LMArena Text: non-English | 1325 | 1337 | o4 Mini |
| LMArena Text: Chinese | 1371 | 1354 | Trinity Large Thinking |
| LMArena Text: German | 1356 | 1336 | Trinity Large Thinking |
| LMArena Text: Japanese | 1312 | 1308 | Trinity Large Thinking |
| LMArena Text: Korean | 1306 | 1312 | o4 Mini |
| LMArena Text: French | 1366 | 1364 | Trinity Large Thinking |
| LMArena Text: Spanish | 1327 | 1346 | o4 Mini |
| LMArena Text: Russian | 1338 | 1334 | Trinity Large Thinking |
| LMArena Text: Polish | 1312 | 1358 | o4 Mini |
| LMArena Text: multi-turn | 1320 | 1350 | o4 Mini |
| LMArena Text: longer queries | 1318 | 1315 | Trinity Large Thinking |
| LMArena Text: writing and language | 1317 | 1316 | Trinity Large Thinking |
| LMArena Text: entertainment and media | 1296 | 1308 | o4 Mini |
| LMArena Vision: English | Not measured | 1200 | Only o4 Mini measured |
| LMArena Vision: Chinese | Not measured | 1218 | Only o4 Mini measured |
| LMArena Vision: reading text | Not measured | 1197 | Only o4 Mini measured |
| LMArena Vision: humor | Not measured | 1199 | Only o4 Mini measured |
| LMArena Vision: captioning | Not measured | 1204 | Only o4 Mini measured |
| LMArena Vision: recognizing things | Not measured | 1218 | Only o4 Mini measured |
| LMArena Vision: creative writing | Not measured | 1166 | Only o4 Mini measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | o4 Mini | 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 | OpenAI o4 Mini |
|---|---|---|
| Maker | Arcee AI | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | April 16, 2025 |
| Context window | 262K | 200K |
| Input $/Mtok | $0.25 | $1.10 |
| Output $/Mtok | $0.80 | $4.40 |
| Coding index | 5.4 | 68.6 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than o4 Mini for coding?
Pick o4 Mini for coding: it scores 68.6 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Pick Trinity Large Thinking when output tokens cost 5.5x less, or when the context window is larger, 262K against 200K tokens.
Which is cheaper, Trinity Large Thinking or o4 Mini?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or o4 Mini?
Trinity Large Thinking, with 262K tokens against 200K.
How many benchmarks is the Trinity Large Thinking vs o4 Mini comparison based on?
42 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and o4 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.