Model comparison

Mistral Medium 3.1 vs Trinity Large Thinking

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 31.9 on the Noometry Index.

Last verified October 11, 2026. 2 shared benchmarks.

Mistral Medium 3.1

Mistral AI

31.9

Rank #266 Reported

Trinity Large Thinking

Arcee AI

38.6

Rank #185 Confirmed

Summary

They share 2 benchmarks with published results for both. Mistral Medium 3.1 scores higher in 1 category and Trinity Large Thinking in 1 category; 2 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Trinity Large Thinking leads 16.9 to 10.6.
The biggest single-benchmark swing is Thematic Generalization: 20.3% for Mistral Medium 3.1 and 41.6% for Trinity Large Thinking.
Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
Trinity Large Thinking accepts more context: 262K tokens versus 131K.
Trinity Large Thinking has downloadable open weights; the other is API-only.

Side by side

Mistral Medium 3.1 and Trinity Large Thinking specifications
	Mistral Medium 3.1	Trinity Large Thinking
Provider	Mistral AI	Arcee AI
Noometry Index	31.9	38.6
Released	—	2026-04-01
Weights	Proprietary	Open
Context window	131K	262K
Max output	105K	80K
Input $ / M tokens	$0.40	$0.25
Output $ / M tokens	$2	$0.80
Results tracked	3	24

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

Mistral Medium 3.1: —, Trinity Large Thinking: 34.1 (#244)

Coding benchmarks
Benchmark	Mistral Medium 3.1	Trinity Large Thinking
LMArena WebDev	—	1238
SciCode	—	36.1%
LMArena Coding	—	1381

Reasoning Trinity Large Thinking leads

Mistral Medium 3.1: 10.6 (#341), Trinity Large Thinking: 16.9 (#298)

Reasoning benchmarks
Benchmark	Mistral Medium 3.1	Trinity Large Thinking
NYT Connections (extended)	6.5%	16.5%
Thematic Generalization	20.3%	41.6%
CritPt	—	0.9%
LMArena Hard Prompts	—	1350
Surface Evolver Bench	—	15.6%

Math Not comparable

Mistral Medium 3.1: —, Trinity Large Thinking: 37.6 (#149)

Math benchmarks
Benchmark	Mistral Medium 3.1	Trinity Large Thinking
LMArena Math	—	1366

Knowledge Not comparable

Mistral Medium 3.1: —, Trinity Large Thinking: 40.9 (#113)

Knowledge benchmarks
Benchmark	Mistral Medium 3.1	Trinity Large Thinking
Vectara Hallucination Rate	—	6.9%
LMArena Expert	—	1360

Multilingual Not comparable

Mistral Medium 3.1: —, Trinity Large Thinking: 46.2 (#160)

Multilingual benchmarks
Benchmark	Mistral Medium 3.1	Trinity Large Thinking
LMArena Non-English	—	1325
LMArena Chinese	—	1373
LMArena French	—	1374
LMArena German	—	1356
LMArena Japanese	—	1311
LMArena Korean	—	1306
LMArena Russian	—	1337
LMArena Spanish	—	1357

Instruction Following Not comparable

Mistral Medium 3.1: —, Trinity Large Thinking: 70.5 (#162)

Instruction Following benchmarks
Benchmark	Mistral Medium 3.1	Trinity Large Thinking
LMArena Instruction Following	—	1334

Long Context Not comparable

Mistral Medium 3.1: —, Trinity Large Thinking: 41.3 (#144)

Long Context benchmarks
Benchmark	Mistral Medium 3.1	Trinity Large Thinking
LMArena Longer Query	—	1355

Writing & Preference Mistral Medium 3.1 leads

Mistral Medium 3.1: 55.5 (#145), Trinity Large Thinking: 53.8 (#158)

Writing & Preference benchmarks
Benchmark	Mistral Medium 3.1	Trinity Large Thinking
LMArena Text	—	1340
LMArena Creative Writing	—	1320
EQ-Bench Creative Writing	1476	—
LMArena Multi-Turn	—	1342

Frequently asked questions

Is Mistral Medium 3.1 better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 31.9 on the Noometry Index.

Which is cheaper, Mistral Medium 3.1 or Trinity Large Thinking?

Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 131K.

How many benchmarks do Mistral Medium 3.1 and Trinity Large Thinking share?

2 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Trinity Large Thinking has 24.