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Model comparison

Claude 3.5 Sonnet vs Gemini 3.5 Flash-Lite

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
47.74/100
No comparison
0 category wins1 category wins

Public leaderboard positions: Claude 3.5 Sonnet #132 (Estimated); Gemini 3.5 Flash-Lite unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 3.5 Sonnet and Gemini 3.5 Flash-Lite share 0 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Claude 3.5 Sonnet; 21 to Gemini 3.5 Flash-Lite.

Updated July 21, 2026
Shared results
0
Claude 3.5 Sonnet only
4
Gemini 3.5 Flash-Lite only
21
Comparable categories
1 / 8

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

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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

Claude 3.5 Sonnet and Gemini 3.5 Flash-Lite 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.

Claude 3.5 Sonnet is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.30 input / $2.50 output per 1M tokens for Gemini 3.5 Flash-Lite. That is roughly 6.0x on output cost alone. Gemini 3.5 Flash-Lite is the reasoning model in the pair, while Claude 3.5 Sonnet 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. Gemini 3.5 Flash-Lite gives you the larger context window at 1M, compared with 200K for Claude 3.5 Sonnet.

Operational comparison

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

MetricClaude 3.5 SonnetGemini 3.5 Flash-LiteComparison
Input / output priceUSD per 1M tokensClaude 3.5 Sonnet$3 input / $15 outputGemini 3.5 Flash-Lite$0.3 input / $2.5 outputGemini 3.5 Flash-Lite has the lower combined listed price.
Generation speedtokens per secondClaude 3.5 SonnetNot availableGemini 3.5 Flash-LiteNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 3.5 SonnetNot availableGemini 3.5 Flash-LiteNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 3.5 Sonnet200KGemini 3.5 Flash-Lite1MGemini 3.5 Flash-Lite lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 3.5 SonnetGemini 3.5 Flash-LiteResult
Terminal-Bench 2.0Source 54%Not comparable
OSWorld-VerifiedSource 74%Not comparable
GDPval-AASource 1140Not comparable
AA Agentic IndexSource 26.8%Not comparable
GDPval-AASource 32.0%Not comparable
AA BriefcaseSource 634Not comparable
AA Tau3 BankingSource 16.5%Not comparable
CodingGemini 3.5 Flash-Lite wins
BenchmarkClaude 3.5 SonnetGemini 3.5 Flash-LiteResult
SWE-bench VerifiedSource 49%Not comparable
Terminal-Bench 2.0Source 54.0%Not comparable
SWE-bench ProSource 54.2%Not comparable
AA Coding IndexSource 49.3%Not comparable
AA-SciCodeSource 40.9%Not comparable
Reasoning
BenchmarkClaude 3.5 SonnetGemini 3.5 Flash-LiteResult
MRCRv2Source 72.2%Not comparable
AA-LCRSource 62.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkClaude 3.5 SonnetGemini 3.5 Flash-LiteResult
GPQASource 59.4%Not comparable
Artificial Analysis Intelligence IndexSource 36.5%Not comparable
AA-GPQA DiamondSource 83.8%Not comparable
AA-HLESource 17.5%Not comparable
AA-Omniscience IndexSource 6.9%Not comparable
AA-Omniscience AccuracySource 30.3%Not comparable
AA-Omniscience Hallucination RateSource 33.5%Not comparable
Math
BenchmarkClaude 3.5 SonnetGemini 3.5 Flash-LiteResult
FrontierMath v2 (Tiers 1-3)Source 2.069%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkClaude 3.5 SonnetGemini 3.5 Flash-LiteResult
AA-MMMU-ProSource 79.0%Not comparable
Frequently Asked Questions (2)

Which is better, Claude 3.5 Sonnet or Gemini 3.5 Flash-Lite?

Claude 3.5 Sonnet and Gemini 3.5 Flash-Lite 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, Claude 3.5 Sonnet or Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite has the edge for coding in this comparison, averaging 54.2 versus 49. Claude 3.5 Sonnet stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 21, 2026

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