Trinity Large Thinking vs o3 Mini
o3 Mini leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 12.5 to 10.8, and Trinity Large Thinking costs 5.5x less per output token ($0.80 vs $4.40 per million). Updated October 21, 2026; 37 benchmarks have a result for both.
Trinity Large Thinking or o3 Mini: 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 5.5x cheaper ($0.80 vs $4.40 per million) and a larger context window (262K against 200K tokens).
- Shared results
- 37
- Trinity Large Thinking only
- 15
- o3 Mini only
- 34
- Like-for-like categories
- 7 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
o3 Mini
o3 Mini leads, 12.5 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 o3 Mini has a GPQA Diamond result, 75.5%.
Directional only
Math
AIME
No call
Only o3 Mini has a AIME result, 86.5%.
Directional only
Knowledge
MMLU Pro
No call
Only o3 Mini has a MMLU Pro result, 78.7%.
Directional only
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
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, o3 Mini $0.0033 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, o3 Mini not benchmarked.
- Widest category
- Agentic work, 58.8 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Trinity Large Thinking 90.1% against o3 Mini 31.3%, 58.8 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against o3 Mini $4.40 per million output tokens, 5.5x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, o3 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 | o3 Mini | Ties |
|---|---|---|---|---|
| Coding | 1 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 5 | 0 | ||
| General | 12 | 7 | ||
| All shared boards | 20 | 17 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
| Benchmark | Trinity Large Thinking | o3 Mini | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 60.4% | Only o3 Mini measured |
| SWE-bench Verified | Not measured | 42.4% | Only o3 Mini measured |
| SWE-bench Lite | Not measured | 32.3% | Only o3 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 | 71.5% | Only o3 Mini measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 73.4% | Only o3 Mini measured |
| SciCode | 40.6% | 42.8% | o3 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 6.8% | Trinity Large Thinking |
| GSO-Bench | Not measured | 1.3% | Only o3 Mini measured |
| WeirdML | Not measured | 43.7% | Only o3 Mini measured |
| Cybench | Not measured | 22.5% | Only o3 Mini measured |
| LMArena Text: coding | 1357 | 1378 | o3 Mini |
| LMArena Text: software and IT | 1362 | 1364 | o3 Mini |
| LMArena WebDev: React | 1231 | Not measured | Only Trinity Large Thinking measured |
| LMArena WebDev: HTML | 1240 | Not measured | Only Trinity Large Thinking measured |
| SciCode | Not measured | 7.7% | Only o3 Mini measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | o3 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 12.5 | o3 Mini |
| Epoch Capabilities Index | Not measured | 140.2 | Only o3 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Trinity Large Thinking | o3 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| τ²-Bench Telecom | 90.1% | 31.3% | 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 index14
| Benchmark | Trinity Large Thinking | o3 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 75.5% | Only o3 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 75.2% | 77.3% | o3 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 12.0% | Trinity Large Thinking |
| GPQA Diamond (Epoch AI run) | Not measured | 77.0% | Only o3 Mini measured |
| ARC-AGI | Not measured | 34.5% | Only o3 Mini measured |
| ARC-AGI-2 | Not measured | 3.0% | Only o3 Mini measured |
| SimpleBench | Not measured | 22.8% | Only o3 Mini measured |
| Chess puzzles | Not measured | 15.0% | Only o3 Mini measured |
| Mystery game puzzles | Not measured | 7.0% | Only o3 Mini measured |
| LMArena Text: hard prompts | 1342 | 1365 | o3 Mini |
| LMArena Text: expert | 1359 | 1364 | o3 Mini |
| LMArena Text: hard prompts in English | 1356 | 1375 | o3 Mini |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | o3 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 86.5% | Only o3 Mini measured |
| MATH 500 (Vals AI) | Not measured | 91.8% | Only o3 Mini measured |
| MGSM (Vals AI) | Not measured | 91.3% | Only o3 Mini measured |
| OTIS Mock AIME | Not measured | 76.9% | Only o3 Mini measured |
| FrontierMath, tiers 1 to 3 | Not measured | 18.6% | Only o3 Mini measured |
| FrontierMath, tier 4 | Not measured | 0.0% | Only o3 Mini measured |
| MATH level 5 | Not measured | 96.5% | Only o3 Mini measured |
| LMArena Text: math | 1365 | 1396 | o3 Mini |
| LMArena Text: mathematical work | 1350 | 1399 | o3 Mini |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Trinity Large Thinking | o3 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 78.7% | Only o3 Mini measured |
| LegalBench (Vals AI) | Not measured | 71.5% | Only o3 Mini measured |
| CaseLaw (Vals AI) | 57.9% | Not measured | Only Trinity Large Thinking measured |
| CorpFin (Vals AI) | 54.7% | 45.3% | Trinity Large Thinking |
| TaxEval (Vals AI) | Not measured | 69.4% | Only o3 Mini measured |
| MedQA (Vals AI) | Not measured | 94.8% | Only o3 Mini measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.2% | Only o3 Mini measured |
| SimpleQA Verified | Not measured | 15.3% | Only o3 Mini measured |
| LMArena Text: science | 1355 | 1339 | Trinity Large Thinking |
| LMArena Text: medicine and healthcare | 1349 | 1330 | Trinity Large Thinking |
| LMArena Text: legal and government | 1345 | 1328 | Trinity Large Thinking |
| LMArena Text: business and finance | 1329 | 1313 | Trinity Large Thinking |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Trinity Large Thinking | o3 Mini | 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 | 1017 | 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 index127
| Benchmark | Trinity Large Thinking | o3 Mini | Leader |
|---|---|---|---|
| IFBench | 56.3% | 67.1% | o3 Mini |
| Long context reasoning (AA-LCR) | 38.0% | 43.0% | o3 Mini |
| DTBench | Not measured | 68.8% | Only o3 Mini measured |
| LMCA | Not measured | 19.0% | Only o3 Mini measured |
| Fiction.LiveBench | Not measured | 50.0% | Only o3 Mini measured |
| Creative writing (Lech Mazur) | Not measured | 61.7% | Only o3 Mini measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1337 | Trinity Large Thinking |
| LMArena Text: instruction following | 1326 | 1337 | o3 Mini |
| LMArena Text: creative writing | 1308 | 1286 | Trinity Large Thinking |
| LMArena Text: English | 1356 | 1351 | Trinity Large Thinking |
| LMArena Text: non-English | 1325 | 1319 | Trinity Large Thinking |
| LMArena Text: Chinese | 1371 | 1379 | o3 Mini |
| LMArena Text: German | 1356 | 1303 | Trinity Large Thinking |
| LMArena Text: Japanese | 1312 | 1286 | Trinity Large Thinking |
| LMArena Text: Korean | 1306 | 1313 | o3 Mini |
| LMArena Text: French | 1366 | 1334 | Trinity Large Thinking |
| LMArena Text: Spanish | 1327 | 1321 | Trinity Large Thinking |
| LMArena Text: Russian | 1338 | 1304 | Trinity Large Thinking |
| LMArena Text: Polish | 1312 | 1294 | Trinity Large Thinking |
| LMArena Text: multi-turn | 1320 | 1320 | o3 Mini |
| LMArena Text: longer queries | 1318 | 1343 | o3 Mini |
| LMArena Text: writing and language | 1317 | 1313 | Trinity Large Thinking |
| LMArena Text: entertainment and media | 1296 | 1283 | Trinity Large Thinking |
| Neither model has a result on the other 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | o3 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 o3 Mini |
|---|---|---|
| Maker | Arcee AI | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | January 31, 2025 |
| Context window | 262K | 200K |
| Input $/Mtok | $0.25 | $1.10 |
| Output $/Mtok | $0.80 | $4.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than o3 Mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 5.5x cheaper ($0.80 vs $4.40 per million) and a larger context window (262K against 200K tokens).
Which is cheaper, Trinity Large Thinking or o3 Mini?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; o3 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 o3 Mini?
Trinity Large Thinking, with 262K tokens against 200K.
How many benchmarks is the Trinity Large Thinking vs o3 Mini comparison based on?
37 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.