Aion-3.0-Mini vs Trinity Large Thinking
Trinity Large Thinking costs 1.7x less per output token than Aion-3.0-Mini ($0.80 vs $1.40 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.40
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.80
Aion-3.0-Mini or Trinity Large Thinking: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. Aion-3.0-Mini has none yet; Trinity Large Thinking on LMArena WebDev, AA Coding Index and SciCode. Compare them on price and context instead.
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
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
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 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Aion-3.0-Mini $0.0014, Trinity Large Thinking $0.0006 per turn.
List prices
At a glance
- Coding index
- Aion-3.0-Mini not benchmarked, Trinity Large Thinking not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Aion-3.0-Mini $1.40 against Trinity Large Thinking $0.80 per million output tokens, 1.7x apart.
- Context window
- Aion-3.0-Mini takes 131K tokens, Trinity Large Thinking 262K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards measured
| Benchmark | Aion-3.0-Mini | Trinity Large Thinking | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1238 | Only Trinity Large Thinking measured |
| AA Coding Index | Not measured | 25.8 | Only Trinity Large Thinking measured |
| SciCode | Not measured | 40.6% | Only Trinity Large Thinking measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 22.7% | Only Trinity Large Thinking measured |
| LMArena Text: coding | Not measured | 1357 | Only Trinity Large Thinking measured |
| LMArena Text: software and IT | Not measured | 1362 | Only Trinity Large Thinking measured |
| LMArena WebDev: React | Not measured | 1231 | Only Trinity Large Thinking measured |
| LMArena WebDev: HTML | Not measured | 1240 | Only Trinity Large Thinking measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Aion-3.0-Mini | Trinity Large Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 10.8 | 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 measured
| Benchmark | Aion-3.0-Mini | Trinity Large Thinking | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 1.0 | Only Trinity Large Thinking measured |
| τ²-Bench Telecom | Not measured | 90.1% | Only Trinity Large Thinking measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Aion-3.0-Mini | Trinity Large Thinking | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 75.2% | Only Trinity Large Thinking measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 15.8% | Only Trinity Large Thinking measured |
| LMArena Text: hard prompts | Not measured | 1342 | Only Trinity Large Thinking measured |
| LMArena Text: expert | Not measured | 1359 | Only Trinity Large Thinking measured |
| LMArena Text: hard prompts in English | Not measured | 1356 | Only Trinity Large Thinking measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Aion-3.0-Mini | Trinity Large Thinking | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1365 | Only Trinity Large Thinking measured |
| LMArena Text: mathematical work | Not measured | 1350 | 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 measured
| Benchmark | Aion-3.0-Mini | Trinity Large Thinking | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | Not measured | 57.9% | Only Trinity Large Thinking measured |
| CorpFin (Vals AI) | Not measured | 54.7% | Only Trinity Large Thinking measured |
| LMArena Text: science | Not measured | 1355 | Only Trinity Large Thinking measured |
| LMArena Text: medicine and healthcare | Not measured | 1349 | Only Trinity Large Thinking measured |
| LMArena Text: legal and government | Not measured | 1345 | Only Trinity Large Thinking measured |
| LMArena Text: business and finance | Not measured | 1329 | Only Trinity Large Thinking measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Aion-3.0-Mini | Trinity Large Thinking | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1137 | Only Trinity Large Thinking measured |
| Design Arena: UI components | Not measured | 1042 | Only Trinity Large Thinking measured |
| Design Arena: game dev | Not measured | 1078 | Only Trinity Large Thinking measured |
| Design Arena: data viz | Not measured | 1098 | Only Trinity Large Thinking measured |
| Design Arena: 3D | Not measured | 1081 | Only Trinity Large Thinking measured |
| Design Arena: all code categories | Not measured | 1117 | Only Trinity Large Thinking measured |
| Design Arena: SVG | Not measured | 1016 | Only Trinity Large Thinking measured |
| Design Arena: ASCII art | Not measured | 1041 | 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 index20 boards measured
| Benchmark | Aion-3.0-Mini | Trinity Large Thinking | Leader |
|---|---|---|---|
| IFBench | Not measured | 56.3% | Only Trinity Large Thinking measured |
| Long context reasoning (AA-LCR) | Not measured | 38.0% | Only Trinity Large Thinking measured |
| Surface Evolver Bench | Not measured | 15.6% | Only Trinity Large Thinking measured |
| LMArena Text | Not measured | 1340 | Only Trinity Large Thinking measured |
| LMArena Text: instruction following | Not measured | 1326 | Only Trinity Large Thinking measured |
| LMArena Text: creative writing | Not measured | 1308 | Only Trinity Large Thinking measured |
| LMArena Text: English | Not measured | 1356 | Only Trinity Large Thinking measured |
| LMArena Text: non-English | Not measured | 1325 | Only Trinity Large Thinking measured |
| LMArena Text: Chinese | Not measured | 1371 | Only Trinity Large Thinking measured |
| LMArena Text: German | Not measured | 1356 | Only Trinity Large Thinking measured |
| LMArena Text: Japanese | Not measured | 1312 | Only Trinity Large Thinking measured |
| LMArena Text: Korean | Not measured | 1306 | Only Trinity Large Thinking measured |
| LMArena Text: French | Not measured | 1366 | Only Trinity Large Thinking measured |
| LMArena Text: Spanish | Not measured | 1327 | Only Trinity Large Thinking measured |
| LMArena Text: Russian | Not measured | 1338 | Only Trinity Large Thinking measured |
| LMArena Text: Polish | Not measured | 1312 | Only Trinity Large Thinking measured |
| LMArena Text: multi-turn | Not measured | 1320 | Only Trinity Large Thinking measured |
| LMArena Text: longer queries | Not measured | 1318 | Only Trinity Large Thinking measured |
| LMArena Text: writing and language | Not measured | 1317 | Only Trinity Large Thinking measured |
| LMArena Text: entertainment and media | Not measured | 1296 | Only Trinity Large Thinking measured |
| Neither model has a result on the other 26 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 | AionLabs Aion-3.0-Mini | Arcee AI Trinity Large Thinking |
|---|---|---|
| Maker | Aion Labs | Arcee AI |
| Weights | No public weights listed | Open weights |
| Released | July 7, 2026 | April 1, 2026 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.70 | $0.25 |
| Output $/Mtok | $1.40 | $0.80 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Aion-3.0-Mini better than Trinity Large Thinking for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Aion-3.0-Mini or Trinity Large Thinking?
Aion-3.0-Mini costs $0.70 per million input tokens and $1.40 per million output tokens; Trinity Large Thinking costs $0.25 and $0.80. Cost per solved task is known for neither of them.
Which has the bigger context window, Aion-3.0-Mini or Trinity Large Thinking?
Trinity Large Thinking, with 262K tokens against 131K.
Has any benchmark tested both Aion-3.0-Mini and Trinity Large Thinking?
No benchmark has tested both yet. Aion-3.0-Mini has none yet; Trinity Large Thinking on LMArena WebDev, AA Coding Index and SciCode. Compare them on price and context instead. Data as of October 22, 2026.