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Model comparison

GPT-4.1 mini vs GPT-5.2

Data verified

Head-to-head evidence from 15 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

44.19/100
Margin
14.2pts
winning →
OpenAI
58.43/100
0 category wins3 category wins

Public leaderboard positions: GPT-4.1 mini #152 (Estimated); GPT-5.2 #64 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 mini and GPT-5.2 share 15 comparable benchmark results. 3 of 8 categories are comparable. 7 results are unique to GPT-4.1 mini; 13 to GPT-5.2.

Updated July 22, 2026
Shared results
15
GPT-4.1 mini only
7
GPT-5.2 only
13
Comparable categories
3 / 8

Pick GPT-5.2 if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 7 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.2 is clearly ahead on the BenchAlign aggregate, 58.43 to 44.19. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.2's sharpest advantage is in coding, where it averages 70.6 against 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 23.6% to 80%.

GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 8.8x on output cost alone. GPT-5.2 is the reasoning model in the pair, while GPT-4.1 mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 mini gives you the larger context window at 1M, compared with 400K for GPT-5.2.

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-4.1 mini and GPT-5.2
CategoryGPT-4.1 miniΔGPT-5.2
CodingGPT-4.1 mini23.6Margin 47.0GPT-5.270.6
MathGPT-4.1 mini4.5Margin 30.7GPT-5.235.2
KnowledgeGPT-4.1 mini64.2Margin 28.2GPT-5.292.4
AgenticGPT-4.1 miniNot measuredMarginNo overlapGPT-5.255.7
ReasoningGPT-4.1 miniNot measuredMarginNo overlapGPT-5.252.9
MultimodalGPT-4.1 miniNot measuredMarginNo overlapGPT-5.280.4
Inst. FollowingGPT-4.1 mini88.5MarginNo overlapGPT-5.2Not measured

Decisive benchmark drivers

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

More
A · GPT-4.1 miniB · GPT-5.2
  1. SWE-bench Verified

    Coding
    Source ↗
    A 23.6%B 80%
    Winner: GPT-5.2Δ 56.4
    SWE-bench Verified: GPT-4.1 mini scored 23.6%; GPT-5.2 scored 80%. GPT-5.2 wins this benchmark.
  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 4.483%B 40.700%
    Winner: GPT-5.2Δ 36.2
    FrontierMath v2 (Tiers 1-3): GPT-4.1 mini scored 4.483%; GPT-5.2 scored 40.700%. GPT-5.2 wins this benchmark.
  3. GPQA

    Knowledge
    Source ↗
    A 64.2%B 92.4%
    Winner: GPT-5.2Δ 28.2
    GPQA: GPT-4.1 mini scored 64.2%; GPT-5.2 scored 92.4%. GPT-5.2 wins this benchmark.

Operational comparison

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

MetricGPT-4.1 miniGPT-5.2Comparison
Input / output priceUSD per 1M tokensGPT-4.1 mini$0.4 input / $1.6 outputGPT-5.2$1.75 input / $14 outputGPT-4.1 mini has the lower combined listed price.
Generation speedtokens per secondGPT-4.1 mini80 tok/sGPT-5.273 tok/sGPT-4.1 mini has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-4.1 mini0.76 sGPT-5.2130.34 sGPT-4.1 mini reaches the first token sooner.
Context windowmaximum listed tokensGPT-4.1 mini1MGPT-5.2400KGPT-4.1 mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1 miniGPT-5.2Result
AA Agentic IndexSource 1.7%Not comparable
τ²-bench resultsSource 52.9%84.8%GPT-5.2 leads
GDPval-AASource 0.1%Not comparable
GDPval-AASource 503Not comparable
BrowseCompSource 65.8%Not comparable
OSWorld-VerifiedSource 47.3%Not comparable
Gert LabsSource 46.54%Not comparable
JobBenchSource 34.3%Not comparable
CodingGPT-5.2 wins
BenchmarkGPT-4.1 miniGPT-5.2Result
SWE-bench VerifiedSource 23.6%80%GPT-5.2 leads
AA Coding IndexSource 20.2%Not comparable
AA-SciCodeSource 40.4%52.1%GPT-5.2 leads
SWE-bench ProSource 55.6%Not comparable
Vibe Code BenchSource 53.50%Not comparable
Reasoning
BenchmarkGPT-4.1 miniGPT-5.2Result
AA-LCRSource 42.3%72.7%GPT-5.2 leads
CritPtSource 0.0%11.6%GPT-5.2 leads
ARC-AGI-2Source 52.9%Not comparable
KnowledgeGPT-5.2 wins
BenchmarkGPT-4.1 miniGPT-5.2Result
MMLUSource 87.5%Not comparable
GPQASource 64.2%92.4%GPT-5.2 leads
Artificial Analysis Intelligence IndexSource 14.8%42.2%GPT-5.2 leads
AA-GPQA DiamondSource 66.4%90.3%GPT-5.2 leads
AA-HLESource 4.6%35.4%GPT-5.2 leads
AA-Omniscience IndexSource -50.1%-1.0%GPT-5.2 leads
AA-Omniscience AccuracySource 17.5%43.8%GPT-5.2 leads
AA-Omniscience Hallucination RateSource 82.0%79.7%GPT-5.2 leads
MathGPT-5.2 wins
BenchmarkGPT-4.1 miniGPT-5.2Result
FrontierMath v2 (Tiers 1-3)Source 4.483%40.700%GPT-5.2 leads
AA AIME 2025Source 99.0%Not comparable
FrontierMath v2 (Tier 4)Source 18.800%Not comparable
Multimodal
BenchmarkGPT-4.1 miniGPT-5.2Result
AA-MMMU-ProSource 58.7%Not comparable
Design Arena WebsiteSource 10271224GPT-5.2 leads
MMMU-ProSource 79.5%Not comparable
MathVisionSource 83.0%Not comparable
CharXivSource 82.1%Not comparable
V*Source 75.9%Not comparable
Inst. Following
BenchmarkGPT-4.1 miniGPT-5.2Result
IFEvalSource 88.5%Not comparable
AA-IFBenchSource 38.3%75.4%GPT-5.2 leads
Frequently Asked Questions (4)

Which is better, GPT-4.1 mini or GPT-5.2?

GPT-5.2 is ahead on BenchLM's BenchAlign leaderboard, 58.43 to 44.19. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 23.6% and 80%.

Which is better for knowledge tasks, GPT-4.1 mini or GPT-5.2?

GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 64.2. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-4.1 mini or GPT-5.2?

GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

Which is better for math, GPT-4.1 mini or GPT-5.2?

GPT-5.2 has the edge for math in this comparison, averaging 35.2 versus 4.5. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.

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Last updated: July 22, 2026

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