Noometry

Model comparison

GPT-5.4 nano vs Step 3.7 Flash

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 36.5 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-5.4 nano OpenAI

41.9

Rank #111 Confirmed

Step 3.7 Flash StepFun

36.5

Rank #207 Reported

Summary

  • They share 3 benchmarks with published results for both. GPT-5.4 nano scores higher in 2 categories and Step 3.7 Flash in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GPT-5.4 nano leads 43.1 to 39.4.
  • The biggest single-benchmark swing is CritPt: 9.3% for GPT-5.4 nano and 2.3% for Step 3.7 Flash.
  • Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.20 / $1.25 for GPT-5.4 nano.
  • GPT-5.4 nano accepts more context: 400K tokens versus 256K.
  • Step 3.7 Flash has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 nanoStep 3.7 Flash
ProviderOpenAIStepFun
Noometry Index41.936.5
Released2026-03-172026-05-29
WeightsProprietaryOpen
Context window400K256K
Max output128K256K
Input $ / M tokens$0.20$0.18
Output $ / M tokens$1.25$1.11
Results tracked405

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Category by category

Coding GPT-5.4 nano leads

GPT-5.4 nano: 43.1 (#82), Step 3.7 Flash: 39.4 (#147)

BenchmarkGPT-5.4 nanoStep 3.7 Flash
SciCode46.9%40%
ALE-Bench1,005694.12
WeirdML49.2%—
LMArena Coding1404—

Reasoning GPT-5.4 nano leads

GPT-5.4 nano: 23.8 (#159), Step 3.7 Flash: 20.9 (#211)

BenchmarkGPT-5.4 nanoStep 3.7 Flash
CritPt9.3%2.3%
ARC-AGI-25.7%—
Kagi LLM Benchmark39.7%—
NYT Connections (extended)—39.7%
ARC-AGI-151.5%—
Chess Puzzles30%—
LMArena Hard Prompts1380—
Mystery Game Puzzles9%—
DTBench80.3%—
LMCA36.9%—
Epoch Capabilities Index145.78—
ForecastBench57.3—

Math Too close to call

GPT-5.4 nano: 40.7 (#76), Step 3.7 Flash: 40.9 (#74)

BenchmarkGPT-5.4 nanoStep 3.7 Flash
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 412.2%—
MathArena Final-Answer Competitions—68.5%
OTIS Mock AIME 2024-202587.8%—
ProofBench5%—
LMArena Math1406—
FrontierMath (Feb 2025 set)25.9%—
FrontierMath Tier 4 (v1)6.3%—

Knowledge Not comparable

GPT-5.4 nano: 41.8 (#94), Step 3.7 Flash: —

BenchmarkGPT-5.4 nanoStep 3.7 Flash
GPQA Diamond78.5%—
SimpleQA Verified11.7%—
Vectara Hallucination Rate3.1%—
LMArena Expert1397—

Multimodal Not comparable

GPT-5.4 nano: 36.0 (#73), Step 3.7 Flash: —

BenchmarkGPT-5.4 nanoStep 3.7 Flash
LMArena Vision1196—

Multilingual Not comparable

GPT-5.4 nano: 48.8 (#136), Step 3.7 Flash: —

BenchmarkGPT-5.4 nanoStep 3.7 Flash
LMArena Non-English1359—
LMArena Chinese1391—
LMArena French1396—
LMArena German1368—
LMArena Japanese1342—
LMArena Korean1321—
LMArena Russian1363—
LMArena Spanish1368—

Instruction Following Not comparable

GPT-5.4 nano: 72.1 (#139), Step 3.7 Flash: —

BenchmarkGPT-5.4 nanoStep 3.7 Flash
LMArena Instruction Following1362—

Long Context Not comparable

GPT-5.4 nano: 41.6 (#131), Step 3.7 Flash: —

BenchmarkGPT-5.4 nanoStep 3.7 Flash
LMArena Longer Query1365—

Writing & Preference Not comparable

GPT-5.4 nano: 55.9 (#137), Step 3.7 Flash: —

BenchmarkGPT-5.4 nanoStep 3.7 Flash
LMArena Text1372—
LMArena Creative Writing1313—
LMArena Multi-Turn1382—

Frequently asked questions

Is GPT-5.4 nano better than Step 3.7 Flash?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 36.5 on the Noometry Index.

Which is cheaper, GPT-5.4 nano 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-5.4 nano lists at $0.20 and $1.25.

Is GPT-5.4 nano or Step 3.7 Flash better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.1 versus 39.4 in the Noometry coding category.

Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 256K.

How many benchmarks do GPT-5.4 nano and Step 3.7 Flash share?

3 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Step 3.7 Flash has 5.

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