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Trinity Large Thinking vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 26.0 to 10.8, at about the same output price ($0.9152 vs $0.80 per million). Updated October 22, 2026; 50 benchmarks have a result for both.

Replace Trinity Large Thinking Replace MiMo-V2.5-Pro
Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
0
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
50
vs boards won of 50 shared

Trinity Large Thinking or MiMo-V2.5-Pro: which to pick

Only MiMo-V2.5-Pro has a coding score, 31.6 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 1.1x cheaper ($0.80 vs $0.9152 per million).

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
50
Trinity Large Thinking only
2
MiMo-V2.5-Pro only
20
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.

At a glance

Coding index
Trinity Large Thinking not benchmarked, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Coding, 28.0 points apart on average over 8 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against MiMo-V2.5-Pro 79.7%, 41.7 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against MiMo-V2.5-Pro $0.9152 per million output tokens, 1.1x apart.
Context window
Trinity Large Thinking takes 262K tokens, MiMo-V2.5-Pro 1.05M.

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.

Boards won, where both have a result
CategoryTrinity Large ThinkingBarsMiMo-V2.5-ProTies
Coding08
Intelligence01
Agentic work02
Reasoning05
Math02
Knowledge05
Web design08
General019
All shared boards050
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
LMArena WebDev12381480MiMo-V2.5-Pro
AA Coding Index25.860.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)Not measured81.3%Only MiMo-V2.5-Pro measured
SWE-bench Verified (Vals AI)Not measured74.0%Only MiMo-V2.5-Pro measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)Not measured34.1%Only MiMo-V2.5-Pro measured
Code migration (Vals AI)Not measured21.6%Only MiMo-V2.5-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only MiMo-V2.5-Pro measured
SciCode40.6%50.6%MiMo-V2.5-Pro
Terminal-Bench Hard (Artificial Analysis run)22.7%43.2%MiMo-V2.5-Pro
ALE-BenchNot measured899.8Only MiMo-V2.5-Pro measured
LMArena Text: coding13571501MiMo-V2.5-Pro
LMArena Text: software and IT13621495MiMo-V2.5-Pro
LMArena WebDev: React12311469MiMo-V2.5-Pro
LMArena WebDev: HTML12401473MiMo-V2.5-Pro
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
AA Intelligence Index10.826.0MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
AA Agentic Index1.021.3MiMo-V2.5-Pro
Finance Agent (Vals AI)Not measured41.5%Only MiMo-V2.5-Pro measured
Tax Agent Bench (Vals AI)Not measured11.5%Only MiMo-V2.5-Pro measured
Legal Research Bench (Vals AI)Not measured15.9%Only MiMo-V2.5-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured55.2%Only MiMo-V2.5-Pro measured
τ²-Bench Telecom90.1%94.2%MiMo-V2.5-Pro
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)75.2%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)15.8%35.7%MiMo-V2.5-Pro
LMArena Text: hard prompts13421486MiMo-V2.5-Pro
LMArena Text: expert13591501MiMo-V2.5-Pro
LMArena Text: hard prompts in English13561494MiMo-V2.5-Pro
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math13651481MiMo-V2.5-Pro
LMArena Text: mathematical work13501491MiMo-V2.5-Pro
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
MMLU ProNot measured84.6%Only MiMo-V2.5-Pro measured
LegalBench (Vals AI)Not measured77.1%Only MiMo-V2.5-Pro measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%61.4%MiMo-V2.5-Pro
TaxEval (Vals AI)Not measured73.8%Only MiMo-V2.5-Pro measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
LMArena Text: science13551482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare13491473MiMo-V2.5-Pro
LMArena Text: legal and government13451474MiMo-V2.5-Pro
LMArena Text: business and finance13291466MiMo-V2.5-Pro
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
Design Arena: websites11371266MiMo-V2.5-Pro
Design Arena: UI components10421246MiMo-V2.5-Pro
Design Arena: game dev10781261MiMo-V2.5-Pro
Design Arena: data viz10981257MiMo-V2.5-Pro
Design Arena: 3D10811243MiMo-V2.5-Pro
Design Arena: all code categories11171265MiMo-V2.5-Pro
Design Arena: SVG10161181MiMo-V2.5-Pro
Design Arena: ASCII art10411156MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench56.3%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)38.0%79.7%MiMo-V2.5-Pro
DTBenchNot measured84.5%Only MiMo-V2.5-Pro measured
LMCANot measured29.5%Only MiMo-V2.5-Pro measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401464MiMo-V2.5-Pro
LMArena Text: instruction following13261475MiMo-V2.5-Pro
LMArena Text: creative writing13081438MiMo-V2.5-Pro
LMArena Text: English13561477MiMo-V2.5-Pro
LMArena Text: non-English13251448MiMo-V2.5-Pro
LMArena Text: Chinese13711507MiMo-V2.5-Pro
LMArena Text: German13561459MiMo-V2.5-Pro
LMArena Text: Japanese13121410MiMo-V2.5-Pro
LMArena Text: Korean13061435MiMo-V2.5-Pro
LMArena Text: French13661487MiMo-V2.5-Pro
LMArena Text: Spanish13271469MiMo-V2.5-Pro
LMArena Text: Russian13381449MiMo-V2.5-Pro
LMArena Text: Polish13121464MiMo-V2.5-Pro
LMArena Text: multi-turn13201476MiMo-V2.5-Pro
LMArena Text: longer queries13181481MiMo-V2.5-Pro
LMArena Text: writing and language13171451MiMo-V2.5-Pro
LMArena Text: entertainment and media12961438MiMo-V2.5-Pro
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Trinity Large Thinking and MiMo-V2.5-Pro
BenchmarkTrinity Large ThinkingMiMo-V2.5-ProLeader
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$0.0006Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

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.

Specifications of Trinity Large Thinking and MiMo-V2.5-Pro
SpecificationArcee AI Trinity Large ThinkingXiaomi MiMo-V2.5-Pro
MakerArcee AIXiaomi
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026April 22, 2026
Context window262K1.05M
Input $/Mtok$0.25$0.4575
Output $/Mtok$0.80$0.9152
Coding indexNot benchmarked31.6
Independent measurements behind it14
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than MiMo-V2.5-Pro for coding?

Only MiMo-V2.5-Pro has a coding score, 31.6 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 1.1x cheaper ($0.80 vs $0.9152 per million).

Which is cheaper, Trinity Large Thinking or MiMo-V2.5-Pro?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Cost per solved task is known for MiMo-V2.5-Pro only.

Which has the bigger context window, Trinity Large Thinking or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs MiMo-V2.5-Pro comparison based on?

50 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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