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Model comparison

Claude Opus 4.5 vs Gemini 3.6 Flash

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

64.22/100
No comparison
N/A
0 category wins1 category wins

Public leaderboard positions: Claude Opus 4.5 #34 (Supported); Gemini 3.6 Flash unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.5 and Gemini 3.6 Flash share 11 comparable benchmark results. 1 of 8 categories are comparable. 48 results are unique to Claude Opus 4.5; 8 to Gemini 3.6 Flash.

Updated July 21, 2026
Shared results
11
Claude Opus 4.5 only
48
Gemini 3.6 Flash only
8
Comparable categories
1 / 8

Treat this as a split decision. Claude Opus 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 11 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

Claude Opus 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 Opus 4.5 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.50 input / $7.50 output per 1M tokens for Gemini 3.6 Flash. That is roughly 3.3x on output cost alone. Gemini 3.6 Flash is the reasoning model in the pair, while Claude Opus 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 Opus 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 Opus 4.5 and Gemini 3.6 Flash
CategoryClaude Opus 4.5ΔGemini 3.6 Flash
AgenticClaude Opus 4.562.6Margin→ 20.4Gemini 3.6 Flash83.0
CodingClaude Opus 4.571.7MarginNo overlapGemini 3.6 FlashNot measured
ReasoningClaude Opus 4.564.4MarginNo overlapGemini 3.6 FlashNot measured
KnowledgeClaude Opus 4.558.1MarginNo overlapGemini 3.6 FlashNot measured
MathClaude Opus 4.557.5MarginNo overlapGemini 3.6 FlashNot measured
MultilingualClaude Opus 4.585.7MarginNo overlapGemini 3.6 FlashNot measured
MultimodalClaude Opus 4.569.9MarginNo overlapGemini 3.6 FlashNot measured
Inst. FollowingClaude Opus 4.569.5MarginNo overlapGemini 3.6 FlashNot measured

Decisive benchmark drivers

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

More
A · Claude Opus 4.5B · Gemini 3.6 Flash

  1. OSWorld-Verified

    Agentic
    Source ↗
    A 66.3%B 83%
    Winner: Gemini 3.6 FlashΔ 16.7
    OSWorld-Verified: Claude Opus 4.5 scored 66.3%; 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 Opus 4.5Gemini 3.6 FlashComparison
Input / output priceUSD per 1M tokensClaude Opus 4.5$5 input / $25 outputGemini 3.6 Flash$1.5 input / $7.5 outputGemini 3.6 Flash has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.546 tok/sGemini 3.6 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.51.01 sGemini 3.6 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.5200KGemini 3.6 Flash1MGemini 3.6 Flash lists the larger context window.

Benchmark Deep Dive

AgenticGemini 3.6 Flash wins
BenchmarkClaude Opus 4.5Gemini 3.6 FlashResult
Terminal-Bench 2.0Source 59.3%—Not comparable
OSWorld-VerifiedSource 66.3%83%Gemini 3.6 Flash leads
OSWorldSource 66.3%—Not comparable
Claw-EvalSource 59.6%—Not comparable
QwenClawBenchSource 52.3%—Not comparable
τ³-bench resultsSource 70.2%—Not comparable
VITA-BenchSource 23.3%—Not comparable
DeepPlanningSource 26.4%—Not comparable
ToolathlonSource 43.5%—Not comparable
MCP AtlasSource 42.3%—Not comparable
MCP-TasksSource 71.8%—Not comparable
WideResearchSource 76.4%—Not comparable
CyberGymSource 50.6%—Not comparable
τ²-bench resultsSource 86.3%—Not comparable
Gert LabsSource 64.23%—Not comparable
JobBenchSource 32.3%—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 Opus 4.5Gemini 3.6 FlashResult
SWE-bench VerifiedSource 80.9%—Not comparable
LiveCodeBench v6Source 84.8%—Not comparable
SWE-bench ProSource 57.1%—Not comparable
SWE MultilingualSource 77.5%—Not comparable
NL2RepoSource 43.2%—Not comparable
AA-SciCodeSource 47.0%52.7%Gemini 3.6 Flash leads
deepSweSource —49%Not comparable
AA Coding IndexSource —69.2%Not comparable
Reasoning
BenchmarkClaude Opus 4.5Gemini 3.6 FlashResult
LongBench v2Source 64.4%—Not comparable
AI-NeedleSource 74%—Not comparable
AA-LCRSource 65.3%69.7%Gemini 3.6 Flash leads
CritPtSource 0.3%10.6%Gemini 3.6 Flash leads
Knowledge
BenchmarkClaude Opus 4.5Gemini 3.6 FlashResult
GPQASource 87%—Not comparable
SuperGPQASource 70.6%—Not comparable
MMLU-ProSource 89.5%—Not comparable
MMLU-ReduxSource 96.6%—Not comparable
C-EvalSource 92.2%—Not comparable
HLESource 30.8%—Not comparable
Artificial Analysis Intelligence IndexSource 34.7%50.1%Gemini 3.6 Flash leads
AA-GPQA DiamondSource 81.0%92.8%Gemini 3.6 Flash leads
AA-HLESource 12.9%38.3%Gemini 3.6 Flash leads
AA-Omniscience IndexSource -3.9%23.5%Gemini 3.6 Flash leads
AA-Omniscience AccuracySource 40.7%50.2%Gemini 3.6 Flash leads
AA-Omniscience Hallucination RateSource 75.4%53.5%Gemini 3.6 Flash leads
AA MMLU-ProSource 88.9%—Not comparable
Math
BenchmarkClaude Opus 4.5Gemini 3.6 FlashResult
AIME26Source 95.1%—Not comparable
HMMT Feb 2025Source 92.9%—Not comparable
HMMT Nov 2025Source 93.3%—Not comparable
HMMT Feb 2026Source 85.3%—Not comparable
MMAnswerBenchSource 84.0%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 20.690%—Not comparable
FrontierMath v2 (Tier 4)Source 4.167%—Not comparable
Multilingual
BenchmarkClaude Opus 4.5Gemini 3.6 FlashResult
MMLU-ProXSource 85.7%—Not comparable
NOVA-63Source 56.7%—Not comparable
Multimodal
BenchmarkClaude Opus 4.5Gemini 3.6 FlashResult
MMMU-ProSource 70.6%—Not comparable
MathVisionSource 74.3%—Not comparable
CharXivSource 68.5%—Not comparable
VideoMMMUSource 84.4%—Not comparable
ScreenSpot ProSource 45.7%—Not comparable
V*Source 67.0%—Not comparable
AA-MMMU-ProSource 71.2%83.2%Gemini 3.6 Flash leads
Design Arena WebsiteSource 1277—Not comparable
Inst. Following
BenchmarkClaude Opus 4.5Gemini 3.6 FlashResult
IFEvalSource 90.9%—Not comparable
IFBenchSource 58%—Not comparable
AA-IFBenchSource 43.0%—Not comparable
Frequently Asked Questions (2)

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

Claude Opus 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 Opus 4.5 or Gemini 3.6 Flash?

Gemini 3.6 Flash has the edge for agentic tasks in this comparison, averaging 83 versus 62.6. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.

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