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Trinity Large Thinking vs Mistral Large

Updated October 21, 2026. 31 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Trinity Large Thinking Replace Mistral Large
Trinity Large ThinkingArcee AI
Coding
No data
Overall
10.8
Output $/M
$0.80
31
Mistral LargeMistral AI
Coding
No data
Overall
5.8
Output $/M
$6.00
0
vs boards won of 31 shared

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Trinity Large Thinking has the edge where output tokens cost 7.5x less, and where the context window is larger, 262K against 128K tokens.

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BMistral LargeMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
31
Trinity Large Thinking only
21
Mistral Large only
13
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, Mistral Large not benchmarked.
Widest category
Reasoning, 21.3 points apart on average over 5 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): Trinity Large Thinking 75.2% against Mistral Large 35.1%, 40.1 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Mistral Large $6.00 per million output tokens, 7.5x apart.
Context window
Trinity Large Thinking takes 262K tokens, Mistral Large 128K.

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 ThinkingBarsMistral LargeTies
Coding20
Intelligence10
Reasoning50
Math20
Knowledge40
General170
All shared boards310
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Trinity Large Thinking and Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Vals AI)Not measured37.1%Only Mistral Large measured
LiveCodeBench (Artificial Analysis run)Not measured17.8%Only Mistral Large measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
LMArena Text: coding13571275Trinity Large Thinking
LMArena Text: software and IT13621274Trinity Large Thinking
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML1240Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Trinity Large Thinking and Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
AA Intelligence Index10.85.8Trinity Large Thinking
Epoch Capabilities IndexNot measured122.1Only Mistral Large measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Trinity Large Thinking and Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Trinity Large Thinking and Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
GPQA DiamondNot measured47.7%Only Mistral Large measured
GPQA Diamond (Artificial Analysis run)75.2%35.1%Trinity Large Thinking
Humanity's Last Exam (Artificial Analysis run)15.8%3.5%Trinity Large Thinking
LMArena Text: hard prompts13421257Trinity Large Thinking
LMArena Text: expert13591208Trinity Large Thinking
LMArena Text: hard prompts in English13561268Trinity Large Thinking
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Trinity Large Thinking and Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
AIMENot measured9.2%Only Mistral Large measured
MATH 500 (Vals AI)Not measured74.4%Only Mistral Large measured
MGSM (Vals AI)Not measured87.2%Only Mistral Large measured
LMArena Text: math13651261Trinity Large Thinking
LMArena Text: mathematical work13501257Trinity Large Thinking
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Trinity Large Thinking and Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
MMLU ProNot measured69.7%Only Mistral Large measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%Not measuredOnly Trinity Large Thinking measured
TaxEval (Vals AI)Not measured63.8%Only Mistral Large measured
MedQA (Vals AI)Not measured76.2%Only Mistral Large measured
MMLU Pro (Artificial Analysis run)Not measured51.5%Only Mistral Large measured
MMLUNot measured68.8%Only Mistral Large measured
LMArena Text: science13551260Trinity Large Thinking
LMArena Text: medicine and healthcare13491255Trinity Large Thinking
LMArena Text: legal and government13451275Trinity Large Thinking
LMArena Text: business and finance13291238Trinity 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
Web design benchmarks for Trinity Large Thinking and Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
Design Arena: websites1137Not measuredOnly Trinity Large Thinking measured
Design Arena: UI components1045Not measuredOnly Trinity Large Thinking measured
Design Arena: game dev1079Not measuredOnly Trinity Large Thinking measured
Design Arena: data viz1098Not measuredOnly Trinity Large Thinking measured
Design Arena: 3D1082Not measuredOnly Trinity Large Thinking measured
Design Arena: all code categories1117Not measuredOnly Trinity Large Thinking measured
Design Arena: SVG1017Not measuredOnly Trinity Large Thinking measured
Design Arena: ASCII art1041Not measuredOnly 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 index170
General benchmarks for Trinity Large Thinking and Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%Not measuredOnly Trinity Large Thinking measured
DTBenchNot measured60.8%Only Mistral Large measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401265Trinity Large Thinking
LMArena Text: instruction following13261249Trinity Large Thinking
LMArena Text: creative writing13081242Trinity Large Thinking
LMArena Text: English13561284Trinity Large Thinking
LMArena Text: non-English13251235Trinity Large Thinking
LMArena Text: Chinese13711239Trinity Large Thinking
LMArena Text: German13561242Trinity Large Thinking
LMArena Text: Japanese13121170Trinity Large Thinking
LMArena Text: Korean13061202Trinity Large Thinking
LMArena Text: French13661325Trinity Large Thinking
LMArena Text: Spanish13271268Trinity Large Thinking
LMArena Text: Russian13381252Trinity Large Thinking
LMArena Text: Polish13121157Trinity Large Thinking
LMArena Text: multi-turn13201260Trinity Large Thinking
LMArena Text: longer queries13181261Trinity Large Thinking
LMArena Text: writing and language13171261Trinity Large Thinking
LMArena Text: entertainment and media12961230Trinity Large Thinking
Neither model has a result on the other 25 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 Mistral Large
BenchmarkTrinity Large ThinkingMistral LargeLeader
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
Mistral Large$0.0050Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Mistral Large$0.118Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Mistral Large$0.460Exceeds the context window

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 Mistral Large
SpecificationArcee AI Trinity Large ThinkingMistral Large
MakerArcee AIMistral AI
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026February 26, 2024
Context window262K128K
Input $/Mtok$0.25$2.00
Output $/Mtok$0.80$6.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Mistral Large for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Trinity Large Thinking has the edge where output tokens cost 7.5x less, and where the context window is larger, 262K against 128K tokens.

Which is cheaper, Trinity Large Thinking or Mistral Large?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Mistral Large costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or Mistral Large?

Trinity Large Thinking, with 262K tokens against 128K.

How many benchmarks is the Trinity Large Thinking vs Mistral Large comparison based on?

31 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Mistral Large's on 0. Where only one model has a result, the page says so instead of naming a winner.

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