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Model comparison

Gemini 3.5 Flash-Lite vs GPT-5.6 Sol

Data verified

Head-to-head evidence from 19 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

N/A
No comparison
81.96/100
0 category wins2 category wins

Public leaderboard positions: Gemini 3.5 Flash-Lite unranked (Not scored); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.5 Flash-Lite and GPT-5.6 Sol share 19 comparable benchmark results. 2 of 8 categories are comparable. 2 results are unique to Gemini 3.5 Flash-Lite; 27 to GPT-5.6 Sol.

Updated July 21, 2026
Shared results
19
Gemini 3.5 Flash-Lite only
2
GPT-5.6 Sol only
27
Comparable categories
2 / 8

Treat this as a split decision. Gemini 3.5 Flash-Lite makes more sense if you want the cheaper token bill; GPT-5.6 Sol is the better fit if agentic is the priority.

Confidence note. This is a partial-evidence comparison with 19 shared benchmark results across 5 evidence categories; 2 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-5.6 Sol 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-5.6 Sol 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-5.6 Sol
CategoryGemini 3.5 Flash-LiteΔGPT-5.6 Sol
AgenticGemini 3.5 Flash-Lite63.4Margin→ 28.6GPT-5.6 Sol92.0
CodingGemini 3.5 Flash-Lite54.2Margin→ 10.4GPT-5.6 Sol64.6
ReasoningGemini 3.5 Flash-Lite72.2MarginNo overlapGPT-5.6 SolNot measured
KnowledgeGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-5.6 Sol94.6
MathGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-5.6 Sol87.5
MultimodalGemini 3.5 Flash-LiteNot measuredMarginNo overlapGPT-5.6 Sol83.0

Decisive benchmark drivers

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

More
A · Gemini 3.5 Flash-LiteB · GPT-5.6 Sol

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 54%B 91.9%
    Winner: GPT-5.6 SolΔ 37.9
    Terminal-Bench 2.0: Gemini 3.5 Flash-Lite scored 54%; GPT-5.6 Sol scored 91.9%. GPT-5.6 Sol wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 54.2%B 64.6%
    Winner: GPT-5.6 SolΔ 10.4
    SWE-bench Pro: Gemini 3.5 Flash-Lite scored 54.2%; GPT-5.6 Sol scored 64.6%. GPT-5.6 Sol 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-5.6 SolComparison
Input / output priceUSD per 1M tokensGemini 3.5 Flash-Lite$0.3 input / $2.5 outputGPT-5.6 Sol$5 input / $30 outputGemini 3.5 Flash-Lite has the lower combined listed price.
Generation speedtokens per secondGemini 3.5 Flash-LiteNot availableGPT-5.6 SolNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.5 Flash-LiteNot availableGPT-5.6 SolNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.5 Flash-Lite1MGPT-5.6 Sol1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.6 Sol wins
BenchmarkGemini 3.5 Flash-LiteGPT-5.6 SolResult
Terminal-Bench 2.0Source 54%91.9%GPT-5.6 Sol leads
OSWorld-VerifiedSource 74%—Not comparable
GDPval-AASource 11401736GPT-5.6 Sol leads
AA Agentic IndexSource 26.8%54.0%GPT-5.6 Sol leads
GDPval-AASource 32.0%61.8%GPT-5.6 Sol leads
AA BriefcaseSource 6341501GPT-5.6 Sol leads
AA Tau3 BankingSource 16.5%33.0%GPT-5.6 Sol leads
BrowseCompSource —92.2%Not comparable
OSWorld 2.0Source —62.6%Not comparable
CyberGymSource —84.5%Not comparable
ExploitGymSource —33.7%Not comparable
ToolathlonSource —58%Not comparable
τ²-bench resultsSource —85.1%Not comparable
AA ITBenchSource —56.2%Not comparable
AA AutomationBenchSource —51.2%Not comparable
AA Harvey LABSource —87.2%Not comparable
terminalBenchHardSource —65.9%Not comparable
aaTerminalBench21Source —88%Not comparable
CodingGPT-5.6 Sol wins
BenchmarkGemini 3.5 Flash-LiteGPT-5.6 SolResult
Terminal-Bench 2.0Source 54.0%91.9%GPT-5.6 Sol leads
SWE-bench ProSource 54.2%64.6%GPT-5.6 Sol leads
AA Coding IndexSource 49.3%77.4%GPT-5.6 Sol leads
AA-SciCodeSource 40.9%56.1%GPT-5.6 Sol leads
deepSweSource —72.7%Not comparable
FrontierCode 1.1 ExtendedSource —60.6%Not comparable
cursorBench32Source —67.2%Not comparable
VulcanBench v3Source —87.0%Not comparable
Reasoning
BenchmarkGemini 3.5 Flash-LiteGPT-5.6 SolResult
MRCRv2Source 72.2%—Not comparable
AA-LCRSource 62.0%73.7%GPT-5.6 Sol leads
CritPtSource 0.0%32.3%GPT-5.6 Sol leads
ARC-AGI-3Source —7.8%Not comparable
GeneBench-ProSource —28.7%Not comparable
Knowledge
BenchmarkGemini 3.5 Flash-LiteGPT-5.6 SolResult
Artificial Analysis Intelligence IndexSource 36.5%58.9%GPT-5.6 Sol leads
AA-GPQA DiamondSource 83.8%94.1%GPT-5.6 Sol leads
AA-HLESource 17.5%47.2%GPT-5.6 Sol leads
AA-Omniscience IndexSource 6.9%21.7%GPT-5.6 Sol leads
AA-Omniscience AccuracySource 30.3%58.5%GPT-5.6 Sol leads
AA-Omniscience Hallucination RateSource 33.5%88.8%Gemini 3.5 Flash-Lite leads
GPQASource —94.6%Not comparable
GPQA-DSource —94.6%Not comparable
HealthBench ProfessionalSource —60.5%Not comparable
HealthBench HardSource —33.1%Not comparable
Math
BenchmarkGemini 3.5 Flash-LiteGPT-5.6 SolResult
FrontierMath (legacy)Source —89%Not comparable
FrontierMath v2 (Tiers 1-3)Source —89.000%Not comparable
FrontierMath v2 (Tier 4)Source —83.000%Not comparable
Multimodal
BenchmarkGemini 3.5 Flash-LiteGPT-5.6 SolResult
AA-MMMU-ProSource 79.0%83.4%GPT-5.6 Sol leads
MMMU-ProSource —83%Not comparable
MMMU-Pro w/ PythonSource —84.6%Not comparable
Inst. Following
BenchmarkGemini 3.5 Flash-LiteGPT-5.6 SolResult
AA-IFBenchSource —72.7%Not comparable
Frequently Asked Questions (3)

Which is better, Gemini 3.5 Flash-Lite or GPT-5.6 Sol?

Gemini 3.5 Flash-Lite and GPT-5.6 Sol 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-5.6 Sol?

GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 54.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Gemini 3.5 Flash-Lite or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 63.4. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.

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