Model comparison

Mistral Medium 3.5 vs Trinity Large Thinking

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 38.1 on the Noometry Index. Trinity Large Thinking costs 7.7× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

Last verified October 10, 2026. 18 shared benchmarks.

Mistral Medium 3.5

Mistral AI

39.6

Rank #151 Confirmed

Trinity Large Thinking

Arcee AI

38.1

Rank #180 Confirmed

Summary

They share 18 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 7 categories and Trinity Large Thinking in 1 category; 7 gaps are clear of the uncertainty.
The widest gap is in multilingual, where Mistral Medium 3.5 leads 52.1 to 46.4.
Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.

Side by side

Mistral Medium 3.5 and Trinity Large Thinking specifications
	Mistral Medium 3.5	Trinity Large Thinking
Provider	Mistral AI	Arcee AI
Noometry Index	39.6	38.1
Released	—	2026-04-01
Weights	Open	Open
Context window	262K	262K
Max output	210K	80K
Input $ / M tokens	$1.50	$0.25
Output $ / M tokens	$7.50	$0.80
Results tracked	22	24

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Category by category

Coding Mistral Medium 3.5 leads

Mistral Medium 3.5: 35.7 (#208), Trinity Large Thinking: 33.8 (#238)

Coding benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
LMArena WebDev	1263	1238
LMArena Coding	1461	1381
SciCode	—	36.1%

Reasoning Too close to call

Mistral Medium 3.5: 16.6 (#290), Trinity Large Thinking: 16.3 (#298)

Reasoning benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
NYT Connections (extended)	12.9%	16.5%
LMArena Hard Prompts	1436	1350
Kagi LLM Benchmark	41.4%	—
CritPt	—	0.9%
Thematic Generalization	—	41.6%
Surface Evolver Bench	—	15.6%
Epoch Capabilities Index	141.42	—

Math Mistral Medium 3.5 leads

Mistral Medium 3.5: 36.4 (#113), Trinity Large Thinking: 34.9 (#149)

Math benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
LMArena Math	1432	1366

Knowledge Trinity Large Thinking leads

Mistral Medium 3.5: 39.3 (#123), Trinity Large Thinking: 40.3 (#107)

Knowledge benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
LMArena Expert	1431	1359
Vectara Hallucination Rate	—	6.9%

Multimodal Not comparable

Mistral Medium 3.5: 37.6 (#64), Trinity Large Thinking: —

Multimodal benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
LMArena Vision	1222	—

Multilingual Mistral Medium 3.5 leads

Mistral Medium 3.5: 52.1 (#93), Trinity Large Thinking: 46.4 (#155)

Multilingual benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
LMArena Non-English	1405	1325
LMArena Chinese	1443	1372
LMArena French	1448	1374
LMArena German	1453	1356
LMArena Korean	1387	1304
LMArena Russian	1396	1338
LMArena Spanish	1406	1356
LMArena Japanese	—	1312

Instruction Following Mistral Medium 3.5 leads

Mistral Medium 3.5: 74.7 (#87), Trinity Large Thinking: 70.7 (#157)

Instruction Following benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
LMArena Instruction Following	1414	1334

Long Context Mistral Medium 3.5 leads

Mistral Medium 3.5: 43.2 (#101), Trinity Large Thinking: 41.2 (#139)

Long Context benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
LMArena Longer Query	1414	1355

Writing & Preference Mistral Medium 3.5 leads

Mistral Medium 3.5: 58.6 (#113), Trinity Large Thinking: 54.0 (#152)

Writing & Preference benchmarks
Benchmark	Mistral Medium 3.5	Trinity Large Thinking
LMArena Text	1421	1340
LMArena Creative Writing	1372	1321
LMArena Multi-Turn	1423	1342
EQ-Bench 4	993	—

Frequently asked questions

Is Mistral Medium 3.5 better than Trinity Large Thinking?

Which is cheaper, Mistral Medium 3.5 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 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Trinity Large Thinking better for coding?

Mistral Medium 3.5 scores higher on coding benchmarks: 35.7 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do Mistral Medium 3.5 and Trinity Large Thinking share?

18 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Trinity Large Thinking has 24.