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Model comparison

Claude 4.1 Opus Thinking vs Claude Opus 4.6

Data verified

Head-to-head evidence from 9 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

36.55/100
Margin
32.0pts
winning →
68.59/100
0 category wins0 category wins

Public leaderboard positions: Claude 4.1 Opus Thinking #184 (Supported); Claude Opus 4.6 #16 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 4.1 Opus Thinking and Claude Opus 4.6 share 9 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude 4.1 Opus Thinking; 37 to Claude Opus 4.6.

Updated July 20, 2026
Shared results
9
Claude 4.1 Opus Thinking only
0
Claude Opus 4.6 only
37
Comparable categories
0 / 8

Benchmark data for Claude 4.1 Opus Thinking and Claude Opus 4.6 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Claude Opus 4.6 has the larger context window at 1M, compared with 200K for Claude 4.1 Opus Thinking.

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 Thinking and Claude Opus 4.6
CategoryClaude 4.1 Opus ThinkingΔClaude Opus 4.6
AgenticClaude 4.1 Opus ThinkingNot measuredMarginNo overlapClaude Opus 4.673.0
CodingClaude 4.1 Opus ThinkingNot measuredMarginNo overlapClaude Opus 4.668.1
KnowledgeClaude 4.1 Opus ThinkingNot measuredMarginNo overlapClaude Opus 4.669.1
MathClaude 4.1 Opus ThinkingNot measuredMarginNo overlapClaude Opus 4.636.3
MultimodalClaude 4.1 Opus ThinkingNot measuredMarginNo overlapClaude Opus 4.677.3

Operational comparison

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

MetricClaude 4.1 Opus ThinkingClaude Opus 4.6Comparison
Input / output priceUSD per 1M tokensClaude 4.1 Opus ThinkingNot availableClaude Opus 4.6$5 input / $25 outputA complete price comparison is not available.
Generation speedtokens per secondClaude 4.1 Opus Thinking29 tok/sClaude Opus 4.640 tok/sClaude Opus 4.6 has the higher measured throughput.
First-answer latencyseconds to first tokenClaude 4.1 Opus Thinking15.00 sClaude Opus 4.61.78 sClaude Opus 4.6 reaches the first token sooner.
Context windowmaximum listed tokensClaude 4.1 Opus Thinking200KClaude Opus 4.61MClaude Opus 4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 4.1 Opus ThinkingClaude Opus 4.6Result
τ²-bench resultsSource 71.4%84.8%Claude Opus 4.6 leads
Terminal-Bench 2.0Source 65.4%Not comparable
BrowseCompSource 83.7%Not comparable
OSWorld-VerifiedSource 72.7%Not comparable
Claw-EvalSource 70.4%Not comparable
DeepSearchQASource 73.7%Not comparable
CyberGymSource 66.6%Not comparable
Gert LabsSource 61.85%Not comparable
ResearchClawBenchSource 19.9%Not comparable
JobBenchSource 36.7%Not comparable
Coding
BenchmarkClaude 4.1 Opus ThinkingClaude Opus 4.6Result
AA-SciCodeSource 40.9%45.7%Claude Opus 4.6 leads
SWE-bench VerifiedSource 80.8%Not comparable
SWE-bench Verified*Source 75.6%Not comparable
LiveCodeBench ProSource 70.7%Not comparable
SWE-bench ProSource 53.4%Not comparable
SWE-RebenchSource 65.3%Not comparable
React Native EvalsSource 84.1%Not comparable
Vibe Code BenchSource 57.57%Not comparable
FrontierCode 1.1 MainSource 26.9%Not comparable
Reasoning
BenchmarkClaude 4.1 Opus ThinkingClaude Opus 4.6Result
AA-LCRSource 66.3%58.3%Claude 4.1 Opus Thinking leads
CritPtSource 0.0%2.8%Claude Opus 4.6 leads
Knowledge
BenchmarkClaude 4.1 Opus ThinkingClaude Opus 4.6Result
Artificial Analysis Intelligence IndexSource 33.7%37.8%Claude Opus 4.6 leads
AA-GPQA DiamondSource 80.9%84.0%Claude Opus 4.6 leads
AA-HLESource 11.9%18.6%Claude Opus 4.6 leads
GPQASource 91.3%Not comparable
GPQA-DSource 89.2%Not comparable
SuperGPQASource 95%Not comparable
MMLU-ProSource 82%Not comparable
MMLU-Pro (Arcee)Source 89.1%Not comparable
HLESource 53%Not comparable
HLE w/o toolsSource 40%Not comparable
HealthBench HardSource 14.8%Not comparable
MedXpertQA (Text)Source 52.1%Not comparable
AA-Omniscience IndexSource 3.5%Not comparable
AA-Omniscience AccuracySource 45.2%Not comparable
AA-Omniscience Hallucination RateSource 76.0%Not comparable
Math
BenchmarkClaude 4.1 Opus ThinkingClaude Opus 4.6Result
AIME25 (Arcee)Source 99.8%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 22.900%Not comparable
Multimodal
BenchmarkClaude 4.1 Opus ThinkingClaude Opus 4.6Result
AA-MMMU-ProSource 67.9%72.5%Claude Opus 4.6 leads
MMMU-ProSource 77.3%Not comparable
ERQASource 51.6%Not comparable
ScreenSpot ProSource 83.1%Not comparable
MedXpertQA (MM)Source 64.8%Not comparable
Design Arena WebsiteSource 1328Not comparable
Inst. Following
BenchmarkClaude 4.1 Opus ThinkingClaude Opus 4.6Result
AA-IFBenchSource 55.4%44.6%Claude 4.1 Opus Thinking leads
Frequently Asked Questions (3)

Can I compare Claude 4.1 Opus Thinking and Claude Opus 4.6 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Claude 4.1 Opus Thinking and Claude Opus 4.6 today?

Claude 4.1 Opus Thinking: Pricing unavailable Claude Opus 4.6: $5.00 input / $25.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 20, 2026

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