Trinity Large Thinking vs MiniMax M1
MiniMax M1 leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 11.7 to 10.8, and Trinity Large Thinking costs 2.8x less per output token ($0.80 vs $2.20 per million). Updated October 21, 2026; 29 benchmarks have a result for both.
Trinity Large Thinking or MiniMax M1: 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 2.8x cheaper ($0.80 vs $2.20 per million) and work measured by LMArena Text: coding or AA Intelligence Index, where it leads.
- Shared results
- 29
- Trinity Large Thinking only
- 23
- MiniMax M1 only
- 0
- Like-for-like categories
- 6 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
MiniMax M1
MiniMax M1 leads, 11.7 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
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
MiniMax M1
MiniMax M1 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, MiniMax M1 $0.0015 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, MiniMax M1 not benchmarked.
- Widest category
- General, 2.8 points apart on average over 17 shared benchmarks.
- Widest single gap
- LMArena Text: Japanese: Trinity Large Thinking 1312 against MiniMax M1 1217, 15.9 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against MiniMax M1 $2.20 per million output tokens, 2.8x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, MiniMax M1 1M.
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 | MiniMax M1 | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 0 | ||
| Math | 1 | 1 | ||
| Knowledge | 3 | 1 | ||
| General | 9 | 8 | ||
| All shared boards | 17 | 12 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
| Benchmark | Trinity Large Thinking | MiniMax M1 | Leader |
|---|---|---|---|
| LMArena WebDev | 1238 | Not measured | Only Trinity Large Thinking measured |
| AA Coding Index | 25.8 | Not measured | Only Trinity Large Thinking measured |
| SciCode | 40.6% | Not measured | Only Trinity Large Thinking measured |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: coding | 1357 | 1359 | MiniMax M1 |
| LMArena Text: software and IT | 1362 | 1359 | Trinity Large Thinking |
| 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 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Trinity Large Thinking | MiniMax M1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 11.7 | MiniMax M1 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Trinity Large Thinking | MiniMax M1 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| τ²-Bench Telecom | 90.1% | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Trinity Large Thinking | MiniMax M1 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | Not measured | Only Trinity Large Thinking measured |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text: hard prompts | 1342 | 1339 | Trinity Large Thinking |
| LMArena Text: expert | 1359 | 1317 | Trinity Large Thinking |
| LMArena Text: hard prompts in English | 1356 | 1353 | Trinity Large Thinking |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Trinity Large Thinking | MiniMax M1 | Leader |
|---|---|---|---|
| LMArena Text: math | 1365 | 1361 | Trinity Large Thinking |
| LMArena Text: mathematical work | 1350 | 1363 | MiniMax M1 |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Trinity Large Thinking | MiniMax M1 | 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 | 1354 | Trinity Large Thinking |
| LMArena Text: medicine and healthcare | 1349 | 1355 | MiniMax M1 |
| LMArena Text: legal and government | 1345 | 1337 | Trinity Large Thinking |
| LMArena Text: business and finance | 1329 | 1319 | Trinity Large Thinking |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Trinity Large Thinking | MiniMax M1 | 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 index98
| Benchmark | Trinity Large Thinking | MiniMax M1 | Leader |
|---|---|---|---|
| IFBench | 56.3% | Not measured | Only Trinity Large Thinking measured |
| Long context reasoning (AA-LCR) | 38.0% | Not measured | Only Trinity Large Thinking measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1343 | MiniMax M1 |
| LMArena Text: instruction following | 1326 | 1312 | Trinity Large Thinking |
| LMArena Text: creative writing | 1308 | 1297 | Trinity Large Thinking |
| LMArena Text: English | 1356 | 1363 | MiniMax M1 |
| LMArena Text: non-English | 1325 | 1319 | Trinity Large Thinking |
| LMArena Text: Chinese | 1371 | 1360 | Trinity Large Thinking |
| LMArena Text: German | 1356 | 1350 | Trinity Large Thinking |
| LMArena Text: Japanese | 1312 | 1217 | Trinity Large Thinking |
| LMArena Text: Korean | 1306 | 1266 | Trinity Large Thinking |
| LMArena Text: French | 1366 | 1370 | MiniMax M1 |
| LMArena Text: Spanish | 1327 | 1353 | MiniMax M1 |
| LMArena Text: Russian | 1338 | 1329 | Trinity Large Thinking |
| LMArena Text: Polish | 1312 | 1329 | MiniMax M1 |
| LMArena Text: multi-turn | 1320 | 1335 | MiniMax M1 |
| LMArena Text: longer queries | 1318 | 1326 | MiniMax M1 |
| LMArena Text: writing and language | 1317 | 1311 | Trinity Large Thinking |
| LMArena Text: entertainment and media | 1296 | 1303 | MiniMax M1 |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | MiniMax M1 | 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 | MiniMax M1 |
|---|---|---|
| Maker | Arcee AI | MiniMax |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | June 17, 2025 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.25 | $0.40 |
| Output $/Mtok | $0.80 | $2.20 |
| 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 MiniMax M1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 2.8x cheaper ($0.80 vs $2.20 per million) and work measured by LMArena Text: coding or AA Intelligence Index, where it leads.
Which is cheaper, Trinity Large Thinking or MiniMax M1?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or MiniMax M1?
MiniMax M1, with 1M tokens against 262K.
How many benchmarks is the Trinity Large Thinking vs MiniMax M1 comparison based on?
29 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and MiniMax M1's on 0. Where only one model has a result, the page says so instead of naming a winner.