Trinity Large Thinking vs GPT-5 Mini
GPT-5 Mini leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 20.6 to 10.8, and Trinity Large Thinking costs 2.5x less per output token ($0.80 vs $2.00 per million). Updated October 21, 2026; 46 benchmarks have a result for both.
Trinity Large Thinking or GPT-5 Mini: which to pick
Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding.
Pick Trinity Large Thinking for output tokens 2.5x cheaper ($0.80 vs $2.00 per million) and work measured by SciCode or τ²-Bench Telecom, where it leads.
- Shared results
- 46
- Trinity Large Thinking only
- 6
- GPT-5 Mini only
- 55
- 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
Only GPT-5 Mini has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GPT-5 Mini
GPT-5 Mini leads, 20.6 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 GPT-5 Mini has a GPQA Diamond result, 80.3%.
Directional only
Math
AIME
No call
Only GPT-5 Mini has a AIME result, 91.5%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5 Mini has a MMLU Pro result, 82.2%.
Directional only
Web design
Design Arena: websites
Trinity Large Thinking
Trinity Large Thinking leads, 1137 against 1125.
Same board, both measured
Long documents
Listed context window
GPT-5 Mini
GPT-5 Mini takes 400K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, GPT-5 Mini $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5 Mini has the number, $0.08.
Directional only
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, GPT-5 Mini 34.2 from 2 benchmarks.
- Widest category
- Agentic work, 19.0 points apart on average over 1 shared benchmark.
- Widest single gap
- Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against GPT-5 Mini 72.3%, 34.3 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against GPT-5 Mini $2.00 per million output tokens, 2.5x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, GPT-5 Mini 400K.
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 | GPT-5 Mini | Ties |
|---|---|---|---|---|
| Coding | 1 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 6 | ||
| Web design | 3 | 5 | ||
| General | 0 | 19 | ||
| All shared boards | 5 | 41 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
| Benchmark | Trinity Large Thinking | GPT-5 Mini | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 59.8% | Only GPT-5 Mini measured |
| SWE-bench Multilingual | Not measured | 39.7% | Only GPT-5 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 | 86.6% | Only GPT-5 Mini measured |
| SWE-bench Verified (Vals AI) | Not measured | 60.8% | Only GPT-5 Mini measured |
| Vibe Code Bench (Vals AI) | Not measured | 14.2% | Only GPT-5 Mini measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 83.8% | Only GPT-5 Mini measured |
| SciCode | 40.6% | 39.0% | Trinity Large Thinking |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 33.3% | GPT-5 Mini |
| Terminal-Bench | Not measured | 34.8% | Only GPT-5 Mini measured |
| WeirdML | Not measured | 52.7% | Only GPT-5 Mini measured |
| LMArena Text: coding | 1357 | 1406 | GPT-5 Mini |
| LMArena Text: software and IT | 1362 | 1394 | GPT-5 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 | GPT-5 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 20.6 | GPT-5 Mini |
| Epoch Capabilities Index | Not measured | 145.3 | Only GPT-5 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Trinity Large Thinking | GPT-5 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| τ²-Bench Telecom | 90.1% | 71.1% | Trinity Large Thinking |
| Vending-Bench 2 | Not measured | -$31 | Only GPT-5 Mini measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 55.5% | Only GPT-5 Mini measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Trinity Large Thinking | GPT-5 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 80.3% | Only GPT-5 Mini measured |
| MMMU Pro (Vals AI) | Not measured | 78.9% | Only GPT-5 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 75.2% | 82.8% | GPT-5 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 21.5% | GPT-5 Mini |
| GPQA Diamond (Epoch AI run) | Not measured | 75.0% | Only GPT-5 Mini measured |
| ARC-AGI | Not measured | 54.3% | Only GPT-5 Mini measured |
| ARC-AGI-2 | Not measured | 4.4% | Only GPT-5 Mini measured |
| Chess puzzles | Not measured | 24.0% | Only GPT-5 Mini measured |
| Mystery game puzzles | Not measured | 10.0% | Only GPT-5 Mini measured |
| VPCT | Not measured | 40.2% | Only GPT-5 Mini measured |
| LMArena Text: hard prompts | 1342 | 1380 | GPT-5 Mini |
| LMArena Text: expert | 1359 | 1379 | GPT-5 Mini |
| LMArena Text: hard prompts in English | 1356 | 1383 | GPT-5 Mini |
| LMArena Vision: diagrams | Not measured | 1202 | Only GPT-5 Mini measured |
| LMArena Vision: homework | Not measured | 1210 | Only GPT-5 Mini measured |
| Kagi LLM Benchmark | Not measured | 70.3% | Only GPT-5 Mini measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Trinity Large Thinking | GPT-5 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 91.5% | Only GPT-5 Mini measured |
| MATH 500 (Vals AI) | Not measured | 94.8% | Only GPT-5 Mini measured |
| MGSM (Vals AI) | Not measured | 92.6% | Only GPT-5 Mini measured |
| AA Math Index | Not measured | 90.7 | Only GPT-5 Mini measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 90.7% | Only GPT-5 Mini measured |
| OTIS Mock AIME | Not measured | 86.7% | Only GPT-5 Mini measured |
| FrontierMath, tiers 1 to 3 | Not measured | 46.7% | Only GPT-5 Mini measured |
| FrontierMath, tier 4 | Not measured | 12.2% | Only GPT-5 Mini measured |
| ProofBench | Not measured | 9.0% | Only GPT-5 Mini measured |
| MATH level 5 | Not measured | 97.8% | Only GPT-5 Mini measured |
| LMArena Text: math | 1365 | 1378 | GPT-5 Mini |
| LMArena Text: mathematical work | 1350 | 1380 | GPT-5 Mini |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Trinity Large Thinking | GPT-5 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 82.2% | Only GPT-5 Mini measured |
| LegalBench (Vals AI) | Not measured | 81.8% | Only GPT-5 Mini measured |
| CaseLaw (Vals AI) | 57.9% | 68.5% | GPT-5 Mini |
| CorpFin (Vals AI) | 54.7% | 60.2% | GPT-5 Mini |
| TaxEval (Vals AI) | Not measured | 75.2% | Only GPT-5 Mini measured |
| MortgageTax (Vals AI) | Not measured | 66.9% | Only GPT-5 Mini measured |
| MedQA (Vals AI) | Not measured | 96.1% | Only GPT-5 Mini measured |
| MedCode (Vals AI) | Not measured | 43.0% | Only GPT-5 Mini measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 83.7% | Only GPT-5 Mini measured |
| SimpleQA Verified | Not measured | 21.6% | Only GPT-5 Mini measured |
| LMArena Text: science | 1355 | 1371 | GPT-5 Mini |
| LMArena Text: medicine and healthcare | 1349 | 1380 | GPT-5 Mini |
| LMArena Text: legal and government | 1345 | 1375 | GPT-5 Mini |
| LMArena Text: business and finance | 1329 | 1358 | GPT-5 Mini |
| FACTS Benchmark Suite | Not measured | 38.6% | Only GPT-5 Mini measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | Trinity Large Thinking | GPT-5 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 1125 | Trinity Large Thinking |
| Design Arena: UI components | 1045 | 1106 | GPT-5 Mini |
| Design Arena: game dev | 1079 | 1130 | GPT-5 Mini |
| Design Arena: data viz | 1098 | 1130 | GPT-5 Mini |
| Design Arena: 3D | 1082 | 1037 | Trinity Large Thinking |
| Design Arena: all code categories | 1117 | 1115 | Trinity Large Thinking |
| Design Arena: SVG | 1017 | 1091 | GPT-5 Mini |
| Design Arena: ASCII art | 1041 | 1125 | GPT-5 Mini |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
| Benchmark | Trinity Large Thinking | GPT-5 Mini | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 43.0% | Only GPT-5 Mini measured |
| MedScribe (Vals AI) | Not measured | 80.6% | Only GPT-5 Mini measured |
| IFBench | 56.3% | 75.4% | GPT-5 Mini |
| Long context reasoning (AA-LCR) | 38.0% | 72.3% | GPT-5 Mini |
| DTBench | Not measured | 80.5% | Only GPT-5 Mini measured |
| LMCA | Not measured | 34.2% | Only GPT-5 Mini measured |
| Fiction.LiveBench | Not measured | 69.4% | Only GPT-5 Mini measured |
| Creative writing (Lech Mazur) | Not measured | 83.1% | Only GPT-5 Mini measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1373 | GPT-5 Mini |
| LMArena Text: instruction following | 1326 | 1357 | GPT-5 Mini |
| LMArena Text: creative writing | 1308 | 1325 | GPT-5 Mini |
| LMArena Vision | Not measured | 1202 | Only GPT-5 Mini measured |
| LMArena Text: English | 1356 | 1379 | GPT-5 Mini |
| LMArena Text: non-English | 1325 | 1363 | GPT-5 Mini |
| LMArena Text: Chinese | 1371 | 1386 | GPT-5 Mini |
| LMArena Text: German | 1356 | 1366 | GPT-5 Mini |
| LMArena Text: Japanese | 1312 | 1341 | GPT-5 Mini |
| LMArena Text: Korean | 1306 | 1308 | GPT-5 Mini |
| LMArena Text: French | 1366 | 1386 | GPT-5 Mini |
| LMArena Text: Spanish | 1327 | 1354 | GPT-5 Mini |
| LMArena Text: Russian | 1338 | 1362 | GPT-5 Mini |
| LMArena Text: Polish | 1312 | 1378 | GPT-5 Mini |
| LMArena Text: multi-turn | 1320 | 1363 | GPT-5 Mini |
| LMArena Text: longer queries | 1318 | 1355 | GPT-5 Mini |
| LMArena Text: writing and language | 1317 | 1344 | GPT-5 Mini |
| LMArena Text: entertainment and media | 1296 | 1340 | GPT-5 Mini |
| LMArena Vision: English | Not measured | 1216 | Only GPT-5 Mini measured |
| LMArena Vision: Chinese | Not measured | 1214 | Only GPT-5 Mini measured |
| LMArena Vision: reading text | Not measured | 1199 | Only GPT-5 Mini measured |
| LMArena Vision: humor | Not measured | 1205 | Only GPT-5 Mini measured |
| LMArena Vision: captioning | Not measured | 1217 | Only GPT-5 Mini measured |
| LMArena Vision: recognizing things | Not measured | 1226 | Only GPT-5 Mini measured |
| LMArena Vision: creative writing | Not measured | 1181 | Only GPT-5 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 | GPT-5 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 GPT-5 Mini |
|---|---|---|
| Maker | Arcee AI | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | August 7, 2025 |
| Context window | 262K | 400K |
| Input $/Mtok | $0.25 | $0.25 |
| Output $/Mtok | $0.80 | $2.00 |
| Coding index | Not benchmarked | 34.2 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | $0.08 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than GPT-5 Mini for coding?
Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 2.5x cheaper ($0.80 vs $2.00 per million) and work measured by SciCode or τ²-Bench Telecom, where it leads.
Which is cheaper, Trinity Large Thinking or GPT-5 Mini?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GPT-5 Mini costs $0.25 and $2.00. Cost per solved task is known for GPT-5 Mini only.
Which has the bigger context window, Trinity Large Thinking or GPT-5 Mini?
GPT-5 Mini, with 400K tokens against 262K.
How many benchmarks is the Trinity Large Thinking vs GPT-5 Mini comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and GPT-5 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.