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GPT-5.4 Nano vs Step 3.7 Flash

GPT-5.4 Nano

OpenAI

79#58
vs
Step 3.7 Flash

StepFun

40#188
Signal-by-Signal Comparison
SignalGPT-5.4 NanoDeltaStep 3.7 Flash
Capabilities
100
+17
83
Benchmarks
90
+90
0
Pricing
99
0
99
Context window size
80
+3
77
Recency
100
--
100
Output Capacity
85
-5
90
Overall Result
3 wins
of 6
2 wins
GPT-5.4 Nano wins 3 of 6 signals

Score History

Score History (18 data points)
GPT-5.4 NanoStep 3.7 Flash
GPT-5.4 Nano

78.8

current score

Leader

GPT-5.4 Nano

right now

Step 3.7 Flash

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

GPT-5.4 Nano

OpenAI

Per request$0.000825
Daily$2.75
Monthly$82.50
Annual$990.00

Step 3.7 Flash

StepFun

Best Value
Per request$0.000775
Daily$2.58
Monthly$77.50
Annual$930.00

Step 3.7 Flash saves you $5.00/month

That's $60.00/year compared to GPT-5.4 Nano at your current usage level of 100K calls/month.

6% cheaper
Choose Step 3.7 Flash for cost optimization

GPT-5.4 Nano pricing:
Input:$0.20/M tokens
Output:$1.25/M tokens
Step 3.7 Flash pricing:
Input:$0.20/M tokens
Output:$1.15/M tokens
Winner
GPT-5.4 Nano

OpenAI

79

Composite Score

Step 3.7 Flash

StepFun

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.4 NanoStep 3.7 FlashWinner
Overall Score
79
40
GPT-5.4 Nano
Rank#58#188
GPT-5.4 Nano
Quality Rank#58#188
GPT-5.4 Nano
Adoption Rank#58#188
GPT-5.4 Nano
Parameters------
Context Window400K256K
GPT-5.4 Nano
Pricing$0.20/$1.25/M$0.20/$1.15/M--
Signal Scores
Capabilities
100
83
GPT-5.4 Nano
Benchmarks
90
--
GPT-5.4 Nano
Pricing
99
99
Step 3.7 Flash
Context window size
80
77
GPT-5.4 Nano
Recency
100
100
GPT-5.4 Nano
Output Capacity
85
90
Step 3.7 Flash
Benchmark Head-to-Head(11 benchmarks)
GPT-5.4 Nano: 0Step 3.7: 0
GPT-5.4 Nano
Step 3.7
Normalized 0-100%
MMLU
94%-
MMLU-Pro
87%-
GPQA Diamond
88.5%-
MATH-500
95.5%-
HumanEval
97.5%-
SWE-bench Verified
80%-
IFEval
93.5%-
BBH
92%-
Arena Elo
1485-
LiveBench
79%-
HLE
39%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

GPT-5.4 NanoStrong Performer

Scores 79/100 (rank #58), placing it in the top 80% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Step 3.7 FlashEntry Level

Scores 40/100 (rank #188), placing it in the top 36% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.4 Nano has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.4 Nano when you need:

  • Processing long documents or large codebases (400K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Step 3.7 Flash when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5.4 NanoBest Value
Input cost$0.20/M tokens
Output cost$1.25/M tokens
Cost per quality point$0.018
Est. monthly (1M tokens/day)$21.75
Step 3.7 Flash
Input cost$0.20/M tokens
Output cost$1.15/M tokens
Cost per quality point$0.034
Est. monthly (1M tokens/day)$20.25

GPT-5.4 Nano offers 7% better value per quality point. At 1M tokens/day, you'd spend $20.25/month with Step 3.7 Flash vs $21.75/month with GPT-5.4 Nano - a $1.50 monthly difference.

Latency & Speed
GPT-5.4 NanoFaster
Speed score0/100
Step 3.7 Flash
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

GPT-5.4 Nano

Customer support chatbot

Suitable for user-facing chat with competitive response times. Step 3.7 Flash also offers lower per-token costs for high-volume support

GPT-5.4 Nano

Long document analysis

Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.4 Nano

Batch data extraction

Lower output pricing ($1.15/M) reduces costs when processing thousands of records daily

Step 3.7 Flash

Creative writing & content

Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.4 Nano

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GPT-5.4 Nano
Which Should You Choose?
Our recommendation:
GPT-5.4 Nano

GPT-5.4 Nano clearly outperforms Step 3.7 Flash with a significant 38.8-point lead. For most general use cases, GPT-5.4 Nano is the stronger choice. However, Step 3.7 Flash may still excel in niche scenarios.

GPT-5.4 Nano
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by StepFun

  • Choose for Cost - 7% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.4 NanoStep 3.7 Flash
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.4 Nano

OpenAI

$1.86
estimated monthly cost

Step 3.7 Flash

StepFun

Best Value
$1.74
estimated monthly cost

Step 3.7 Flash saves you $0.1200/month

That's 6% cheaper than GPT-5.4 Nano at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGPT-5.4 NanoStep 3.7 Flash
Context Window400K256K
Max Output Tokens128,000256,000
Open SourceNoYes
CreatedMar 17, 2026May 28, 2026
Last updated: 46m ago

相关对比

GPT-5.4 Nano vs Step 3.7 Flash (2026) | LM Market Cap