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Model comparison

Claude Sonnet 4.5 vs Gemini 3.6 Flash

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.61/100
No comparison
N/A
0 category wins1 category wins

Public leaderboard positions: Claude Sonnet 4.5 #96 (Estimated); Gemini 3.6 Flash unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Sonnet 4.5 and Gemini 3.6 Flash share 1 comparable benchmark result. 1 of 8 categories are comparable. 11 results are unique to Claude Sonnet 4.5; 18 to Gemini 3.6 Flash.

Updated July 21, 2026
Shared results
1
Claude Sonnet 4.5 only
11
Gemini 3.6 Flash only
18
Comparable categories
1 / 8

Treat this as a split decision. Claude Sonnet 4.5 makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; Gemini 3.6 Flash is the better fit if agentic is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 Sonnet 4.5 and Gemini 3.6 Flash 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 Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.50 input / $7.50 output per 1M tokens for Gemini 3.6 Flash. That is roughly 2.0x on output cost alone. Gemini 3.6 Flash is the reasoning model in the pair, while Claude Sonnet 4.5 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 3.6 Flash gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.5.

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 Claude Sonnet 4.5 and Gemini 3.6 Flash
CategoryClaude Sonnet 4.5ΔGemini 3.6 Flash
AgenticClaude Sonnet 4.555.4Margin 27.6Gemini 3.6 Flash83.0
CodingClaude Sonnet 4.577.2MarginNo overlapGemini 3.6 FlashNot measured
ReasoningClaude Sonnet 4.513.6MarginNo overlapGemini 3.6 FlashNot measured
KnowledgeClaude Sonnet 4.583.4MarginNo overlapGemini 3.6 FlashNot measured
MathClaude Sonnet 4.511.2MarginNo overlapGemini 3.6 FlashNot measured

Decisive benchmark drivers

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

More
A · Claude Sonnet 4.5B · Gemini 3.6 Flash
  1. OSWorld-Verified

    Agentic
    Source ↗
    A 61.4%B 83%
    Winner: Gemini 3.6 FlashΔ 21.6
    OSWorld-Verified: Claude Sonnet 4.5 scored 61.4%; Gemini 3.6 Flash scored 83%. Gemini 3.6 Flash wins this benchmark.

Operational comparison

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

MetricClaude Sonnet 4.5Gemini 3.6 FlashComparison
Input / output priceUSD per 1M tokensClaude Sonnet 4.5$3 input / $15 outputGemini 3.6 Flash$1.5 input / $7.5 outputGemini 3.6 Flash has the lower combined listed price.
Generation speedtokens per secondClaude Sonnet 4.5Not availableGemini 3.6 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Sonnet 4.5Not availableGemini 3.6 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Sonnet 4.5200KGemini 3.6 Flash1MGemini 3.6 Flash lists the larger context window.

Benchmark Deep Dive

AgenticGemini 3.6 Flash wins
BenchmarkClaude Sonnet 4.5Gemini 3.6 FlashResult
Terminal-Bench 2.0Source 50%Not comparable
OSWorld-VerifiedSource 61.4%83%Gemini 3.6 Flash leads
VITA-BenchSource 17.0%Not comparable
Gert LabsSource 48.51%Not comparable
JobBenchSource 27.7%Not comparable
GDPval-AASource 1421Not comparable
AA Agentic IndexSource 38.7%Not comparable
GDPval-AASource 46.1%Not comparable
AA BriefcaseSource 961Not comparable
AA Tau3 BankingSource 24.5%Not comparable
aaTerminalBench21Source 77.5%Not comparable
Coding
BenchmarkClaude Sonnet 4.5Gemini 3.6 FlashResult
SWE-bench VerifiedSource 77.2%Not comparable
deepSweSource 49%Not comparable
AA Coding IndexSource 69.2%Not comparable
AA-SciCodeSource 52.7%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.5Gemini 3.6 FlashResult
ARC-AGI-2Source 13.6%Not comparable
AA-LCRSource 69.7%Not comparable
CritPtSource 10.6%Not comparable
Knowledge
BenchmarkClaude Sonnet 4.5Gemini 3.6 FlashResult
GPQASource 83.4%Not comparable
Artificial Analysis Intelligence IndexSource 50.1%Not comparable
AA-GPQA DiamondSource 92.8%Not comparable
AA-HLESource 38.3%Not comparable
AA-Omniscience IndexSource 23.5%Not comparable
AA-Omniscience AccuracySource 50.2%Not comparable
AA-Omniscience Hallucination RateSource 53.5%Not comparable
Math
BenchmarkClaude Sonnet 4.5Gemini 3.6 FlashResult
AIME 2025Source 87%Not comparable
FrontierMath v2 (Tiers 1-3)Source 13.495%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multimodal
BenchmarkClaude Sonnet 4.5Gemini 3.6 FlashResult
Design Arena WebsiteSource 1219Not comparable
AA-MMMU-ProSource 83.2%Not comparable
Frequently Asked Questions (2)

Which is better, Claude Sonnet 4.5 or Gemini 3.6 Flash?

Claude Sonnet 4.5 and Gemini 3.6 Flash 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 agentic tasks, Claude Sonnet 4.5 or Gemini 3.6 Flash?

Gemini 3.6 Flash has the edge for agentic tasks in this comparison, averaging 83 versus 55.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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