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Model comparison

Gemini 3.5 Flash-Lite vs GPT-4.1 mini

Data verified

Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
44.19/100
1 category wins0 category wins

Public leaderboard positions: Gemini 3.5 Flash-Lite unranked (Not scored); GPT-4.1 mini #152 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.5 Flash-Lite and GPT-4.1 mini share 14 comparable benchmark results. 1 of 8 categories are comparable. 7 results are unique to Gemini 3.5 Flash-Lite; 8 to GPT-4.1 mini.

Updated July 21, 2026
Shared results
14
Gemini 3.5 Flash-Lite only
7
GPT-4.1 mini only
8
Comparable categories
1 / 8

Treat this as a split decision. Gemini 3.5 Flash-Lite makes more sense if coding is the priority or you want the stronger reasoning-first profile; GPT-4.1 mini is the better fit if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 5 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

Gemini 3.5 Flash-Lite and GPT-4.1 mini finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Gemini 3.5 Flash-Lite is also the more expensive model on tokens at $0.30 input / $2.50 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. Gemini 3.5 Flash-Lite 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.

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 Gemini 3.5 Flash-Lite and GPT-4.1 mini
CategoryGemini 3.5 Flash-LiteΔGPT-4.1 mini
CodingGemini 3.5 Flash-Lite54.2Margin 30.6GPT-4.1 mini23.6
AgenticGemini 3.5 Flash-Lite63.4MarginNo overlapGPT-4.1 miniNot measured
ReasoningGemini 3.5 Flash-Lite72.2MarginNo overlapGPT-4.1 miniNot measured
KnowledgeGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-4.1 mini64.2
MathGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-4.1 mini4.5
Inst. FollowingGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-4.1 mini88.5

Operational comparison

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

MetricGemini 3.5 Flash-LiteGPT-4.1 miniComparison
Input / output priceUSD per 1M tokensGemini 3.5 Flash-Lite$0.3 input / $2.5 outputGPT-4.1 mini$0.4 input / $1.6 outputGPT-4.1 mini has the lower combined listed price.
Generation speedtokens per secondGemini 3.5 Flash-LiteNot availableGPT-4.1 mini80 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.5 Flash-LiteNot availableGPT-4.1 mini0.76 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.5 Flash-Lite1MGPT-4.1 mini1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3.5 Flash-LiteGPT-4.1 miniResult
Terminal-Bench 2.0Source 54%Not comparable
OSWorld-VerifiedSource 74%Not comparable
GDPval-AASource 1140503Gemini 3.5 Flash-Lite leads
AA Agentic IndexSource 26.8%1.7%Gemini 3.5 Flash-Lite leads
GDPval-AASource 32.0%0.1%Gemini 3.5 Flash-Lite leads
AA BriefcaseSource 634Not comparable
AA Tau3 BankingSource 16.5%Not comparable
τ²-bench resultsSource 52.9%Not comparable
CodingGemini 3.5 Flash-Lite wins
BenchmarkGemini 3.5 Flash-LiteGPT-4.1 miniResult
Terminal-Bench 2.0Source 54.0%Not comparable
SWE-bench ProSource 54.2%Not comparable
AA Coding IndexSource 49.3%20.2%Gemini 3.5 Flash-Lite leads
AA-SciCodeSource 40.9%40.4%Gemini 3.5 Flash-Lite leads
SWE-bench VerifiedSource 23.6%Not comparable
Reasoning
BenchmarkGemini 3.5 Flash-LiteGPT-4.1 miniResult
MRCRv2Source 72.2%Not comparable
AA-LCRSource 62.0%42.3%Gemini 3.5 Flash-Lite leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGemini 3.5 Flash-LiteGPT-4.1 miniResult
Artificial Analysis Intelligence IndexSource 36.5%14.8%Gemini 3.5 Flash-Lite leads
AA-GPQA DiamondSource 83.8%66.4%Gemini 3.5 Flash-Lite leads
AA-HLESource 17.5%4.6%Gemini 3.5 Flash-Lite leads
AA-Omniscience IndexSource 6.9%-50.1%Gemini 3.5 Flash-Lite leads
AA-Omniscience AccuracySource 30.3%17.5%Gemini 3.5 Flash-Lite leads
AA-Omniscience Hallucination RateSource 33.5%82.0%Gemini 3.5 Flash-Lite leads
MMLUSource 87.5%Not comparable
GPQASource 64.2%Not comparable
Math
BenchmarkGemini 3.5 Flash-LiteGPT-4.1 miniResult
FrontierMath v2 (Tiers 1-3)Source 4.483%Not comparable
Multimodal
BenchmarkGemini 3.5 Flash-LiteGPT-4.1 miniResult
AA-MMMU-ProSource 79.0%58.7%Gemini 3.5 Flash-Lite leads
Design Arena WebsiteSource 1027Not comparable
Inst. Following
BenchmarkGemini 3.5 Flash-LiteGPT-4.1 miniResult
IFEvalSource 88.5%Not comparable
AA-IFBenchSource 38.3%Not comparable
Frequently Asked Questions (2)

Which is better, Gemini 3.5 Flash-Lite or GPT-4.1 mini?

Gemini 3.5 Flash-Lite and GPT-4.1 mini are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for coding, Gemini 3.5 Flash-Lite or GPT-4.1 mini?

Gemini 3.5 Flash-Lite has the edge for coding in this comparison, averaging 54.2 versus 23.6. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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