Model comparison

GPT-4.1 mini vs Step 3.7 Flash

Step 3.7 Flash is the stronger model overall, scoring 37.3 to 33.6 on the Noometry Index.

Last verified . 2 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Step 3.7 Flash StepFun

37.3

Rank #207 Reported

Summary

  • They share 2 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and Step 3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Step 3.7 Flash leads 42.9 to 24.1.
  • Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 256K.
  • Step 3.7 Flash has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 mini and Step 3.7 Flash specifications
GPT-4.1 miniStep 3.7 Flash
ProviderOpenAIStepFun
Noometry Index33.637.3
Released2025-04-142026-05-29
WeightsProprietaryOpen
Context window1.05M256K
Max output33K256K
Input $ / M tokens$0.40$0.18
Output $ / M tokens$1.60$1.11
Results tracked475

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Category by category

Coding Step 3.7 Flash leads

GPT-4.1 mini: 30.6 (#293), Step 3.7 Flash: 40.0 (#150)

Coding benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
SciCode40.4%40%
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
LMArena Coding1367—
CadEval16%—
ALE-Bench—694.12

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Step 3.7 Flash: —

Agentic & Tool Use benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
Berkeley Function Calling Leaderboard50.5%—

Reasoning Step 3.7 Flash leads

GPT-4.1 mini: 10.8 (#340), Step 3.7 Flash: 21.6 (#219)

Reasoning benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
CritPt0%2.3%
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
NYT Connections (extended)—39.7%
ARC-AGI-13.5%—
Chess Puzzles7%—
LMArena Hard Prompts1349—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Step 3.7 Flash leads

GPT-4.1 mini: 24.1 (#270), Step 3.7 Flash: 42.9 (#82)

Math benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
FrontierMath (Tiers 1-3)6.7%—
MathArena Final-Answer Competitions—68.5%
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
LMArena Math1343—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Not comparable

GPT-4.1 mini: 34.7 (#194), Step 3.7 Flash: —

Knowledge benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Step 3.7 Flash: —

Multimodal benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
LMArena Vision1181—

Multilingual Not comparable

GPT-4.1 mini: 45.7 (#166), Step 3.7 Flash: —

Multilingual benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
LMArena Non-English1318—
LMArena Chinese1329—
LMArena French1358—
LMArena German1351—
LMArena Japanese1290—
LMArena Korean1298—
LMArena Russian1324—
LMArena Spanish1319—

Instruction Following Not comparable

GPT-4.1 mini: 73.7 (#118), Step 3.7 Flash: —

Instruction Following benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
IFEval90.4%—
LMArena Instruction Following1333—

Long Context Not comparable

GPT-4.1 mini: 31.8 (#275), Step 3.7 Flash: —

Long Context benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
Fiction.LiveBench44.4%—
LMArena Longer Query1344—

Writing & Preference Not comparable

GPT-4.1 mini: 48.6 (#199), Step 3.7 Flash: —

Writing & Preference benchmarks
BenchmarkGPT-4.1 miniStep 3.7 Flash
LMArena Text1340—
LMArena Creative Writing1300—
EQ-Bench Creative Writing1147—
WildBench83.8%—
LMArena Multi-Turn1354—

Frequently asked questions

Is GPT-4.1 mini better than Step 3.7 Flash?

Step 3.7 Flash is the stronger model overall, scoring 37.3 to 33.6 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or Step 3.7 Flash?

Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Is GPT-4.1 mini or Step 3.7 Flash better for coding?

Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 256K.

How many benchmarks do GPT-4.1 mini and Step 3.7 Flash share?

2 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Step 3.7 Flash has 5.

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