Noometry

Model comparison

GPT-3.5-turbo vs Step 3.7 Flash

Step 3.7 Flash is the stronger model overall, scoring 37.3 to 23.2 on the Noometry Index.

Last verified . 0 shared benchmarks.

GPT-3.5-turbo OpenAI

23.2

Rank #350 Confirmed

Step 3.7 Flash StepFun

37.3

Rank #207 Reported

Summary

  • The widest gap is in math, where Step 3.7 Flash leads 42.9 to 6.3.
  • Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.50 / $1.50 for GPT-3.5-turbo.
  • Step 3.7 Flash accepts more context: 256K tokens versus 16K.
  • Step 3.7 Flash has downloadable open weights; the other is API-only.

Side by side

GPT-3.5-turboStep 3.7 Flash
ProviderOpenAIStepFun
Noometry Index23.237.3
Released2023-03-012026-05-29
WeightsProprietaryOpen
Context window16K256K
Max output4K256K
Input $ / M tokens$0.50$0.18
Output $ / M tokens$1.50$1.11
Results tracked445

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Category by category

Coding Step 3.7 Flash leads

GPT-3.5-turbo: 23.9 (#331), Step 3.7 Flash: 40.0 (#150)

BenchmarkGPT-3.5-turboStep 3.7 Flash
SciCode—40%
WeirdML3.5%—
BigCodeBench Instruct39.1%—
LMArena Coding1136—
BigCodeBench Complete50.6%—
ALE-Bench—694.12
HumanEval+70.7%—
MBPP+69.7%—

Agentic & Tool Use Not comparable

GPT-3.5-turbo: —, Step 3.7 Flash: —

BenchmarkGPT-3.5-turboStep 3.7 Flash
METR Time Horizons21.5%—

Reasoning Step 3.7 Flash leads

GPT-3.5-turbo: 13.8 (#332), Step 3.7 Flash: 21.6 (#219)

BenchmarkGPT-3.5-turboStep 3.7 Flash
NYT Connections (extended)—39.7%
CritPt—2.3%
Chess Puzzles0%—
LMArena Hard Prompts1108—
Mystery Game Puzzles3%—
DTBench48.5%—
LMCA9.7%—
Adversarial NLI58.1%—
BIG-Bench Hard61.6%—
CommonsenseQA 2.057%—
Epoch Capabilities Index118.55—
ForecastBench50.4—
WinoGrande81.6%—

Math Step 3.7 Flash leads

GPT-3.5-turbo: 6.3 (#327), Step 3.7 Flash: 42.9 (#82)

BenchmarkGPT-3.5-turboStep 3.7 Flash
FrontierMath (Tiers 1-3)0%—
MathArena Final-Answer Competitions—68.5%
OTIS Mock AIME 2024-20252.2%—
LMArena Math1142—
MATH Level 515.9%—
GSM8K57.8%—

Knowledge Not comparable

GPT-3.5-turbo: 10.0 (#303), Step 3.7 Flash: —

BenchmarkGPT-3.5-turboStep 3.7 Flash
GPQA Diamond28%—
LMArena Expert1070—
ARC (AI2) Challenge87.4%—
BoolQ87%—
MMLU71.4%—
OpenBookQA86%—
TriviaQA85.8%—

Multilingual Not comparable

GPT-3.5-turbo: 31.5 (#258), Step 3.7 Flash: —

BenchmarkGPT-3.5-turboStep 3.7 Flash
LMArena Non-English1108—
LMArena Chinese1075—
LMArena French1118—
LMArena German1090—
LMArena Japanese1043—
LMArena Korean1019—
LMArena Russian1123—
LMArena Spanish1121—

Instruction Following Not comparable

GPT-3.5-turbo: 57.9 (#262), Step 3.7 Flash: —

BenchmarkGPT-3.5-turboStep 3.7 Flash
LMArena Instruction Following1119—

Long Context Not comparable

GPT-3.5-turbo: 34.0 (#254), Step 3.7 Flash: —

BenchmarkGPT-3.5-turboStep 3.7 Flash
LMArena Longer Query1121—

Writing & Preference Not comparable

GPT-3.5-turbo: 25.3 (#305), Step 3.7 Flash: —

BenchmarkGPT-3.5-turboStep 3.7 Flash
LMArena Text1125—
LMArena Creative Writing1092—
EQ-Bench Creative Writing451—
LMArena Multi-Turn1117—

Frequently asked questions

Is GPT-3.5-turbo better than Step 3.7 Flash?

Step 3.7 Flash is the stronger model overall, scoring 37.3 to 23.2 on the Noometry Index.

Which is cheaper, GPT-3.5-turbo 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-3.5-turbo lists at $0.50 and $1.50.

Is GPT-3.5-turbo or Step 3.7 Flash better for coding?

Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 23.9 in the Noometry coding category.

Which has the bigger context window?

Step 3.7 Flash does, with 256K tokens against 16K.

How many benchmarks do GPT-3.5-turbo and Step 3.7 Flash share?

0 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Step 3.7 Flash has 5.

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