Model comparison

Step 3.7 Flash vs Trinity Large Thinking

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.3 on the Noometry Index.

Last verified . 3 shared benchmarks.

Step 3.7 Flash StepFun

37.3

Rank #207 Reported

Trinity Large Thinking Arcee AI

38.6

Rank #185 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Step 3.7 Flash scores higher in 3 categories and Trinity Large Thinking in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Step 3.7 Flash leads 40.0 to 34.1.
  • The biggest single-benchmark swing is NYT Connections (extended): 39.7% for Step 3.7 Flash and 16.5% for Trinity Large Thinking.
  • Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.18 / $1.11 for Step 3.7 Flash.
  • Trinity Large Thinking accepts more context: 262K tokens versus 256K.

Side by side

Step 3.7 Flash and Trinity Large Thinking specifications
Step 3.7 FlashTrinity Large Thinking
ProviderStepFunArcee AI
Noometry Index37.338.6
Released2026-05-292026-04-01
WeightsOpenOpen
Context window256K262K
Max output256K80K
Input $ / M tokens$0.18$0.25
Output $ / M tokens$1.11$0.80
Results tracked524

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Category by category

Coding Step 3.7 Flash leads

Step 3.7 Flash: 40.0 (#150), Trinity Large Thinking: 34.1 (#244)

Coding benchmarks
BenchmarkStep 3.7 FlashTrinity Large Thinking
SciCode40%36.1%
LMArena WebDev—1238
LMArena Coding—1381
ALE-Bench694.12—

Reasoning Step 3.7 Flash leads

Step 3.7 Flash: 21.6 (#219), Trinity Large Thinking: 16.9 (#298)

Reasoning benchmarks
BenchmarkStep 3.7 FlashTrinity Large Thinking
NYT Connections (extended)39.7%16.5%
CritPt2.3%0.9%
Thematic Generalization—41.6%
LMArena Hard Prompts—1350
Surface Evolver Bench—15.6%

Math Step 3.7 Flash leads

Step 3.7 Flash: 42.9 (#82), Trinity Large Thinking: 37.6 (#149)

Math benchmarks
BenchmarkStep 3.7 FlashTrinity Large Thinking
MathArena Final-Answer Competitions68.5%—
LMArena Math—1366

Knowledge Not comparable

Step 3.7 Flash: —, Trinity Large Thinking: 40.9 (#113)

Knowledge benchmarks
BenchmarkStep 3.7 FlashTrinity Large Thinking
Vectara Hallucination Rate—6.9%
LMArena Expert—1360

Multilingual Not comparable

Step 3.7 Flash: —, Trinity Large Thinking: 46.2 (#160)

Multilingual benchmarks
BenchmarkStep 3.7 FlashTrinity 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

Step 3.7 Flash: —, Trinity Large Thinking: 70.5 (#162)

Instruction Following benchmarks
BenchmarkStep 3.7 FlashTrinity Large Thinking
LMArena Instruction Following—1334

Long Context Not comparable

Step 3.7 Flash: —, Trinity Large Thinking: 41.3 (#144)

Long Context benchmarks
BenchmarkStep 3.7 FlashTrinity Large Thinking
LMArena Longer Query—1355

Writing & Preference Not comparable

Step 3.7 Flash: —, Trinity Large Thinking: 53.8 (#158)

Writing & Preference benchmarks
BenchmarkStep 3.7 FlashTrinity Large Thinking
LMArena Text—1340
LMArena Creative Writing—1320
LMArena Multi-Turn—1342

Frequently asked questions

Is Step 3.7 Flash better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.3 on the Noometry Index.

Which is cheaper, Step 3.7 Flash 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; Step 3.7 Flash lists at $0.18 and $1.11.

Is Step 3.7 Flash or Trinity Large Thinking better for coding?

Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 256K.

How many benchmarks do Step 3.7 Flash and Trinity Large Thinking share?

3 benchmarks have published results for both models. Step 3.7 Flash has 5 scored results on Noometry and Trinity Large Thinking has 24.

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