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Model comparison

Gemini 3.5 Flash-Lite vs GPT-5.5

Data verified

Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

N/A
No comparison
GPT-5.5
OpenAI
73.51/100
0 category wins3 category wins

Public leaderboard positions: Gemini 3.5 Flash-Lite unranked (Not scored); GPT-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.5 Flash-Lite and GPT-5.5 share 20 comparable benchmark results. 3 of 8 categories are comparable. 1 result is unique to Gemini 3.5 Flash-Lite; 37 to GPT-5.5.

Updated July 21, 2026
Shared results
20
Gemini 3.5 Flash-Lite only
1
GPT-5.5 only
37
Comparable categories
3 / 8

Treat this as a split decision. Gemini 3.5 Flash-Lite makes more sense if you want the cheaper token bill; GPT-5.5 is the better fit if agentic is the priority.

Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 5 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

Gemini 3.5 Flash-Lite and GPT-5.5 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.

GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.30 input / $2.50 output per 1M tokens for Gemini 3.5 Flash-Lite. That is roughly 12.0x on output cost alone.

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-5.5
CategoryGemini 3.5 Flash-LiteΔGPT-5.5
AgenticGemini 3.5 Flash-Lite63.4Margin→ 18.2GPT-5.581.6
ReasoningGemini 3.5 Flash-Lite72.2Margin→ 12.8GPT-5.585.0
CodingGemini 3.5 Flash-Lite54.2Margin→ 4.4GPT-5.558.6
KnowledgeGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-5.557.8
MathGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-5.547.6
MultimodalGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-5.570.4

Decisive benchmark drivers

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

More
A · Gemini 3.5 Flash-LiteB · GPT-5.5

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 54%B 82%
    Winner: GPT-5.5Δ 28
    Terminal-Bench 2.0: Gemini 3.5 Flash-Lite scored 54%; GPT-5.5 scored 82%. GPT-5.5 wins this benchmark.

  2. OSWorld-Verified

    Agentic
    Source ↗
    A 74%B 78.7%
    Winner: GPT-5.5Δ 4.7
    OSWorld-Verified: Gemini 3.5 Flash-Lite scored 74%; GPT-5.5 scored 78.7%. GPT-5.5 wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 54.2%B 58.6%
    Winner: GPT-5.5Δ 4.4
    SWE-bench Pro: Gemini 3.5 Flash-Lite scored 54.2%; GPT-5.5 scored 58.6%. GPT-5.5 wins this benchmark.

Operational comparison

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

MetricGemini 3.5 Flash-LiteGPT-5.5Comparison
Input / output priceUSD per 1M tokensGemini 3.5 Flash-Lite$0.3 input / $2.5 outputGPT-5.5$5 input / $30 outputGemini 3.5 Flash-Lite has the lower combined listed price.
Generation speedtokens per secondGemini 3.5 Flash-LiteNot availableGPT-5.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.5 Flash-LiteNot availableGPT-5.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.5 Flash-Lite1MGPT-5.51MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.5 wins
BenchmarkGemini 3.5 Flash-LiteGPT-5.5Result
Terminal-Bench 2.0Source 54%82%GPT-5.5 leads
OSWorld-VerifiedSource 74%78.7%GPT-5.5 leads
GDPval-AASource 11401490GPT-5.5 leads
AA Agentic IndexSource 26.8%44.9%GPT-5.5 leads
GDPval-AASource 32.0%49.5%GPT-5.5 leads
AA BriefcaseSource 6341154GPT-5.5 leads
AA Tau3 BankingSource 16.5%31.3%GPT-5.5 leads
CyberGymSource —81.8%Not comparable
BrowseCompSource —84.4%Not comparable
MCP AtlasSource —75.3%Not comparable
ToolathlonSource —55.6%Not comparable
τ²-bench resultsSource —93.9%Not comparable
APEX-Agents-AASource —37.7%Not comparable
Gert LabsSource —72.93%Not comparable
ResearchClawBenchSource —17.0%Not comparable
OSWorld 2.0Source —13.0%Not comparable
JobBenchSource —42.7%Not comparable
ExploitGymSource —13.4%Not comparable
AA AutomationBenchSource —42.1%Not comparable
AA EnterpriseOps-GymSource —46.6%Not comparable
AA Harvey LABSource —86.3%Not comparable
AA ITBenchSource —45.8%Not comparable
terminalBenchHardSource —60.6%Not comparable
aaTerminalBench21Source —84.3%Not comparable
CodingGPT-5.5 wins
BenchmarkGemini 3.5 Flash-LiteGPT-5.5Result
Terminal-Bench 2.0Source 54.0%82.0%GPT-5.5 leads
SWE-bench ProSource 54.2%58.6%GPT-5.5 leads
AA Coding IndexSource 49.3%74.9%GPT-5.5 leads
AA-SciCodeSource 40.9%56.1%GPT-5.5 leads
Vibe Code BenchSource —69.85%Not comparable
React Native EvalsSource —84.7%Not comparable
cursorBench31Source —59.2%Not comparable
cursorBench32Source —58.4%Not comparable
FrontierCode 1.1 MainSource —43.0%Not comparable
ReasoningGPT-5.5 wins
BenchmarkGemini 3.5 Flash-LiteGPT-5.5Result
MRCRv2Source 72.2%—Not comparable
AA-LCRSource 62.0%74.3%GPT-5.5 leads
CritPtSource 0.0%27.1%GPT-5.5 leads
MRCR v2 64K-128KSource —83.1%Not comparable
MRCR v2 128K-256KSource —87.5%Not comparable
ARC-AGI-2Source —85%Not comparable
Knowledge
BenchmarkGemini 3.5 Flash-LiteGPT-5.5Result
Artificial Analysis Intelligence IndexSource 36.5%54.8%GPT-5.5 leads
AA-GPQA DiamondSource 83.8%93.5%GPT-5.5 leads
AA-HLESource 17.5%44.3%GPT-5.5 leads
AA-Omniscience IndexSource 6.9%20.1%GPT-5.5 leads
AA-Omniscience AccuracySource 30.3%56.9%GPT-5.5 leads
AA-Omniscience Hallucination RateSource 33.5%85.5%Gemini 3.5 Flash-Lite leads
GPQASource —93.6%Not comparable
GPQA-DSource —93.6%Not comparable
HLESource —52.2%Not comparable
HLE w/o toolsSource —41.4%Not comparable
Math
BenchmarkGemini 3.5 Flash-LiteGPT-5.5Result
FrontierMath (legacy)Source —51.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source —51.700%Not comparable
FrontierMath v2 (Tier 4)Source —35.400%Not comparable
Multimodal
BenchmarkGemini 3.5 Flash-LiteGPT-5.5Result
AA-MMMU-ProSource 79.0%79.9%GPT-5.5 leads
MMMU-ProSource —81.2%Not comparable
MMMU-Pro w/ PythonSource —83.2%Not comparable
OfficeQA ProSource —54.1%Not comparable
Design Arena WebsiteSource —1282Not comparable
Inst. Following
BenchmarkGemini 3.5 Flash-LiteGPT-5.5Result
AA-IFBenchSource —75.9%Not comparable
Frequently Asked Questions (4)

Which is better, Gemini 3.5 Flash-Lite or GPT-5.5?

Gemini 3.5 Flash-Lite and GPT-5.5 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-5.5?

GPT-5.5 has the edge for coding in this comparison, averaging 58.6 versus 54.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for reasoning, Gemini 3.5 Flash-Lite or GPT-5.5?

GPT-5.5 has the edge for reasoning in this comparison, averaging 85 versus 72.2. Inside this category, CritPt is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Gemini 3.5 Flash-Lite or GPT-5.5?

GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.6 versus 63.4. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.

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