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Model comparison

GPT-5.4 mini vs Step 3.7 Flash

Data verified

Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

56.69/100
Margin
5.9pts
← winning
50.76/100
0 category wins1 category wins

BenchAlign evidence: GPT-5.4 mini estimated; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.4 mini and Step 3.7 Flash share 20 comparable benchmark results. 1 of 8 categories are comparable. 11 results are unique to GPT-5.4 mini; 10 to Step 3.7 Flash.

Updated July 16, 2026
Shared results
20
GPT-5.4 mini only
11
Step 3.7 Flash only
10
Comparable categories
1 / 8

Pick GPT-5.4 mini if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if agentic is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.4 mini is clearly ahead on the provisional aggregate, 64 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.20 input / $1.15 output per 1M tokens for Step 3.7 Flash. That is roughly 3.9x on output cost alone. GPT-5.4 mini gives you the larger context window at 400K, compared with 256K for Step 3.7 Flash.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GPT-5.4 mini and Step 3.7 Flash
CategoryGPT-5.4 miniΔStep 3.7 Flash
AgenticGPT-5.4 mini65.7Margin 0.7Step 3.7 Flash66.4
CodingGPT-5.4 miniNot measuredMarginNo overlapStep 3.7 Flash56.3
KnowledgeGPT-5.4 mini47.8MarginNo overlapStep 3.7 FlashNot measured
MathGPT-5.4 mini21.7MarginNo overlapStep 3.7 FlashNot measured
MultimodalGPT-5.4 mini76.6MarginNo overlapStep 3.7 FlashNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · GPT-5.4 miniB · Step 3.7 Flash
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 60%B 59.5%
    Winner: GPT-5.4 miniΔ 0.5
    Terminal-Bench 2.0: GPT-5.4 mini scored 60%; Step 3.7 Flash scored 59.5%. GPT-5.4 mini wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.4 miniStep 3.7 FlashComparison
Input / output priceUSD per 1M tokensGPT-5.4 mini$0.75 input / $4.5 outputStep 3.7 Flash$0.2 input / $1.15 outputStep 3.7 Flash has the lower combined listed price.
Generation speedtokens per secondGPT-5.4 mini201 tok/sStep 3.7 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4 mini3.85 sStep 3.7 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.4 mini400KStep 3.7 Flash256KGPT-5.4 mini lists the larger context window.

Benchmark Deep Dive

AgenticStep 3.7 Flash wins
BenchmarkGPT-5.4 miniStep 3.7 FlashResult
Terminal-Bench 2.0Source 60%59.5%GPT-5.4 mini leads
OSWorld-VerifiedSource 72.1%Not comparable
MCP AtlasSource 57.7%Not comparable
ToolathlonSource 42.9%49.5%Step 3.7 Flash leads
τ²-bench resultsSource 83.3%98.5%Step 3.7 Flash leads
AA Agentic IndexSource 30.2%21.5%GPT-5.4 mini leads
APEX-Agents-AASource 28.2%14.8%GPT-5.4 mini leads
GDPval-AASource 33.5%25.9%GPT-5.4 mini leads
GDPval-AASource 11711017GPT-5.4 mini leads
BrowseCompSource 75.8%Not comparable
DeepSearchQASource 92.8%Not comparable
Claw-EvalSource 67.1%Not comparable
HLE w/ toolsSource 47.2%Not comparable
Gert LabsSource 51.57%Not comparable
Coding
BenchmarkGPT-5.4 miniStep 3.7 FlashResult
Vibe Code BenchSource 47.97%Not comparable
AA Coding IndexSource 56.1%39.6%GPT-5.4 mini leads
Terminal-Bench HardSource 52.3%35.6%GPT-5.4 mini leads
AA-SciCodeSource 49.9%40.0%GPT-5.4 mini leads
FrontierCodeSource 27.0%Not comparable
SWE-bench ProSource 56.3%Not comparable
Terminal-Bench 2.0Source 59.5%Not comparable
Reasoning
BenchmarkGPT-5.4 miniStep 3.7 FlashResult
AA-LCRSource 69.3%63.7%GPT-5.4 mini leads
CritPtSource 10.0%2.3%GPT-5.4 mini leads
Knowledge
BenchmarkGPT-5.4 miniStep 3.7 FlashResult
GPQASource 88%Not comparable
HLESource 41.5%Not comparable
HLE w/o toolsSource 28.2%Not comparable
Artificial Analysis Intelligence IndexSource 40.0%30.3%GPT-5.4 mini leads
AA-GPQA DiamondSource 87.5%80.9%GPT-5.4 mini leads
AA-HLESource 26.6%19.9%GPT-5.4 mini leads
AA-Omniscience IndexSource -18.7%-37.5%GPT-5.4 mini leads
AA-Omniscience AccuracySource 37.5%25.4%GPT-5.4 mini leads
AA-Omniscience Hallucination RateSource 89.8%84.4%Step 3.7 Flash leads
Math
BenchmarkGPT-5.4 miniStep 3.7 FlashResult
FrontierMath v2 (Tiers 1-3)Source 28.280%Not comparable
FrontierMath v2 (Tier 4)Source 2.080%Not comparable
Multimodal
BenchmarkGPT-5.4 miniStep 3.7 FlashResult
MMMU-ProSource 76.6%Not comparable
MMMU-Pro w/ PythonSource 78%Not comparable
AA-MMMU-ProSource 73.3%75.3%Step 3.7 Flash leads
SimpleVQASource 79.2%Not comparable
V*Source 95.3%Not comparable
Design Arena WebsiteSource 1218Not comparable
Inst. Following
BenchmarkGPT-5.4 miniStep 3.7 FlashResult
AA-IFBenchSource 73.3%67.3%GPT-5.4 mini leads
Frequently Asked Questions (2)

Which is better, GPT-5.4 mini or Step 3.7 Flash?

GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 64 to 57. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 60% and 59.5%.

Which is better for agentic tasks, GPT-5.4 mini or Step 3.7 Flash?

Step 3.7 Flash has the edge for agentic tasks in this comparison, averaging 66.4 versus 65.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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Last updated: July 16, 2026

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