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Model comparison

Claude 4.1 Opus vs Claude Opus 4.5

Data verified

Head-to-head evidence from 4 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

45.88/100
Margin
18.3pts
winning →
64.22/100
1 category wins0 category wins

Public leaderboard positions: Claude 4.1 Opus #142 (Supported); Claude Opus 4.5 #34 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 4.1 Opus and Claude Opus 4.5 share 4 comparable benchmark results. 1 of 8 categories are comparable. 0 results are unique to Claude 4.1 Opus; 55 to Claude Opus 4.5.

Updated July 22, 2026
Shared results
4
Claude 4.1 Opus only
0
Claude Opus 4.5 only
55
Comparable categories
1 / 8

Pick Claude Opus 4.5 if you want the stronger benchmark profile. Claude 4.1 Opus only becomes the better choice if coding is the priority.

Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 4 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 is clearly ahead on the BenchAlign aggregate, 64.22 to 45.88. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude 4.1 Opus is also the more expensive model on tokens at $15.00 input / $75.00 output per 1M tokens, versus $5.00 input / $25.00 output per 1M tokens for Claude Opus 4.5. That is roughly 3.0x 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 Claude 4.1 Opus and Claude Opus 4.5
CategoryClaude 4.1 OpusΔClaude Opus 4.5
CodingClaude 4.1 Opus74.5Margin 2.8Claude Opus 4.571.7
AgenticClaude 4.1 OpusNot measuredMarginNo overlapClaude Opus 4.562.6
ReasoningClaude 4.1 OpusNot measuredMarginNo overlapClaude Opus 4.564.4
KnowledgeClaude 4.1 OpusNot measuredMarginNo overlapClaude Opus 4.558.1
MathClaude 4.1 OpusNot measuredMarginNo overlapClaude Opus 4.557.5
MultilingualClaude 4.1 OpusNot measuredMarginNo overlapClaude Opus 4.585.7
MultimodalClaude 4.1 OpusNot measuredMarginNo overlapClaude Opus 4.569.9
Inst. FollowingClaude 4.1 OpusNot measuredMarginNo overlapClaude Opus 4.569.5

Decisive benchmark drivers

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

More
A · Claude 4.1 OpusB · Claude Opus 4.5
  1. SWE-bench Verified

    Coding
    Source ↗
    A 74.5%B 80.9%
    Winner: Claude Opus 4.5Δ 6.4
    SWE-bench Verified: Claude 4.1 Opus scored 74.5%; Claude Opus 4.5 scored 80.9%. Claude Opus 4.5 wins this benchmark.

Operational comparison

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

MetricClaude 4.1 OpusClaude Opus 4.5Comparison
Input / output priceUSD per 1M tokensClaude 4.1 Opus$15 input / $75 outputClaude Opus 4.5$5 input / $25 outputClaude Opus 4.5 has the lower combined listed price.
Generation speedtokens per secondClaude 4.1 Opus29 tok/sClaude Opus 4.546 tok/sClaude Opus 4.5 has the higher measured throughput.
First-answer latencyseconds to first tokenClaude 4.1 Opus1.66 sClaude Opus 4.51.01 sClaude Opus 4.5 reaches the first token sooner.
Context windowmaximum listed tokensClaude 4.1 Opus200KClaude Opus 4.5200KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude 4.1 OpusClaude Opus 4.5Result
JobBenchSource 21.9%32.3%Claude Opus 4.5 leads
Terminal-Bench 2.0Source 59.3%Not comparable
OSWorld-VerifiedSource 66.3%Not comparable
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
CodingClaude 4.1 Opus wins
BenchmarkClaude 4.1 OpusClaude Opus 4.5Result
SWE-bench VerifiedSource 74.5%80.9%Claude Opus 4.5 leads
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%Not comparable
Reasoning
BenchmarkClaude 4.1 OpusClaude Opus 4.5Result
LongBench v2Source 64.4%Not comparable
AI-NeedleSource 74%Not comparable
AA-LCRSource 65.3%Not comparable
CritPtSource 0.3%Not comparable
Knowledge
BenchmarkClaude 4.1 OpusClaude Opus 4.5Result
Artificial Analysis Intelligence IndexSource 28.2%34.7%Claude Opus 4.5 leads
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
AA-GPQA DiamondSource 81.0%Not comparable
AA-HLESource 12.9%Not comparable
AA-Omniscience IndexSource -3.9%Not comparable
AA-Omniscience AccuracySource 40.7%Not comparable
AA-Omniscience Hallucination RateSource 75.4%Not comparable
AA MMLU-ProSource 88.9%Not comparable
Math
BenchmarkClaude 4.1 OpusClaude Opus 4.5Result
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 4.1 OpusClaude Opus 4.5Result
MMLU-ProXSource 85.7%Not comparable
NOVA-63Source 56.7%Not comparable
Multimodal
BenchmarkClaude 4.1 OpusClaude Opus 4.5Result
Design Arena WebsiteSource 12071277Claude Opus 4.5 leads
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%Not comparable
Inst. Following
BenchmarkClaude 4.1 OpusClaude Opus 4.5Result
IFEvalSource 90.9%Not comparable
IFBenchSource 58%Not comparable
AA-IFBenchSource 43.0%Not comparable
Frequently Asked Questions (2)

Which is better, Claude 4.1 Opus or Claude Opus 4.5?

Claude Opus 4.5 is ahead on BenchLM's BenchAlign leaderboard, 64.22 to 45.88. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 74.5% and 80.9%.

Which is better for coding, Claude 4.1 Opus or Claude Opus 4.5?

Claude 4.1 Opus has the edge for coding in this comparison, averaging 74.5 versus 71.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

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Last updated: July 22, 2026

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