Model comparison

Devstral Small 2505 vs Trinity Large Thinking

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 34.3 on the Noometry Index. Devstral Small 2505 costs 2.6× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

Devstral Small 2505 Mistral AI

34.3

Rank #233 Reported

Trinity Large Thinking Arcee AI

38.6

Rank #185 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Devstral Small 2505 scores higher in 2 categories and Trinity Large Thinking in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Devstral Small 2505 leads 38.9 to 34.1.
  • The biggest single-benchmark swing is SciCode: 28.8% for Devstral Small 2505 and 36.1% for Trinity Large Thinking.
  • Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
  • Trinity Large Thinking accepts more context: 262K tokens versus 128K.

Side by side

Devstral Small 2505 and Trinity Large Thinking specifications
Devstral Small 2505Trinity Large Thinking
ProviderMistral AIArcee AI
Noometry Index34.338.6
Released2025-05-072026-04-01
WeightsOpenOpen
Context window128K262K
Max output128K80K
Input $ / M tokens$0.10$0.25
Output $ / M tokens$0.30$0.80
Results tracked424

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Category by category

Coding Devstral Small 2505 leads

Devstral Small 2505: 38.9 (#166), Trinity Large Thinking: 34.1 (#244)

Coding benchmarks
BenchmarkDevstral Small 2505Trinity Large Thinking
SciCode28.8%36.1%
SWE-bench Verified (bash only)56.4%—
LMArena WebDev—1238
LMArena Coding—1381

Reasoning Devstral Small 2505 leads

Devstral Small 2505: 19.7 (#252), Trinity Large Thinking: 16.9 (#298)

Reasoning benchmarks
BenchmarkDevstral Small 2505Trinity Large Thinking
CritPt0%0.9%
Kagi LLM Benchmark37.7%—
NYT Connections (extended)—16.5%
Thematic Generalization—41.6%
LMArena Hard Prompts—1350
Surface Evolver Bench—15.6%

Math Not comparable

Devstral Small 2505: —, Trinity Large Thinking: 37.6 (#149)

Math benchmarks
BenchmarkDevstral Small 2505Trinity Large Thinking
LMArena Math—1366

Knowledge Not comparable

Devstral Small 2505: —, Trinity Large Thinking: 40.9 (#113)

Knowledge benchmarks
BenchmarkDevstral Small 2505Trinity Large Thinking
Vectara Hallucination Rate—6.9%
LMArena Expert—1360

Multilingual Not comparable

Devstral Small 2505: —, Trinity Large Thinking: 46.2 (#160)

Multilingual benchmarks
BenchmarkDevstral Small 2505Trinity 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

Devstral Small 2505: —, Trinity Large Thinking: 70.5 (#162)

Instruction Following benchmarks
BenchmarkDevstral Small 2505Trinity Large Thinking
LMArena Instruction Following—1334

Long Context Not comparable

Devstral Small 2505: —, Trinity Large Thinking: 41.3 (#144)

Long Context benchmarks
BenchmarkDevstral Small 2505Trinity Large Thinking
LMArena Longer Query—1355

Writing & Preference Not comparable

Devstral Small 2505: —, Trinity Large Thinking: 53.8 (#158)

Writing & Preference benchmarks
BenchmarkDevstral Small 2505Trinity Large Thinking
LMArena Text—1340
LMArena Creative Writing—1320
LMArena Multi-Turn—1342

Frequently asked questions

Is Devstral Small 2505 better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 34.3 on the Noometry Index. Devstral Small 2505 costs 2.6× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.

Which is cheaper, Devstral Small 2505 or Trinity Large Thinking?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.

Is Devstral Small 2505 or Trinity Large Thinking better for coding?

Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Devstral Small 2505 and Trinity Large Thinking share?

2 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Trinity Large Thinking has 24.

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