Skip to main content

Model comparison

Claude Opus 4.6 (Adaptive) vs Claude Sonnet 4.6

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

64.18/100
Margin
0.9pts
winning →
65.07/100
0 category wins0 category wins

Public leaderboard positions: Claude Opus 4.6 (Adaptive) #35 (Estimated); Claude Sonnet 4.6 #32 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 (Adaptive) and Claude Sonnet 4.6 share 14 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Opus 4.6 (Adaptive); 19 to Claude Sonnet 4.6.

Updated July 23, 2026
Shared results
14
Claude Opus 4.6 (Adaptive) only
2
Claude Sonnet 4.6 only
19
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.6 (Adaptive) and Claude Sonnet 4.6 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 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 (Adaptive) has the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.

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 4.6 (Adaptive) and Claude Sonnet 4.6
CategoryClaude Opus 4.6 (Adaptive)ΔClaude Sonnet 4.6
AgenticClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapClaude Sonnet 4.665.2
CodingClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapClaude Sonnet 4.669.1
KnowledgeClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapClaude Sonnet 4.666.0
MathClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapClaude Sonnet 4.626.4
MultimodalClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapClaude Sonnet 4.677.4

Operational comparison

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

MetricClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.6 (Adaptive)Not availableClaude Sonnet 4.6$3 input / $15 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.6 (Adaptive)Not availableClaude Sonnet 4.644 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.6 (Adaptive)Not availableClaude Sonnet 4.61.48 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.6 (Adaptive)1MClaude Sonnet 4.6200KClaude Opus 4.6 (Adaptive) lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Result
APEX-Agents-AASource 33.0%Not comparable
τ²-bench resultsSource 92.1%79.5%Claude Opus 4.6 (Adaptive) leads
Terminal-Bench 2.0Source 59.1%Not comparable
OSWorld-VerifiedSource 72.1%Not comparable
Claw-EvalSource 67.8%Not comparable
CyberGymSource 65.2%Not comparable
Gert LabsSource 62.92%Not comparable
OSWorld 2.0Source 8.3%Not comparable
JobBenchSource 36.9%Not comparable
Coding
BenchmarkClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Result
Vibe Code BenchSource 53.50%51.48%Claude Opus 4.6 (Adaptive) leads
AA-SciCodeSource 51.9%46.9%Claude Opus 4.6 (Adaptive) leads
SWE-bench VerifiedSource 79.6%Not comparable
SWE-RebenchSource 60.7%Not comparable
React Native EvalsSource 80.6%Not comparable
cursorBench31Source 48.8%Not comparable
FrontierCode 1.1 MainSource 24.3%Not comparable
Reasoning
BenchmarkClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Result
AA-LCRSource 70.7%57.7%Claude Opus 4.6 (Adaptive) leads
CritPtSource 12.6%0.9%Claude Opus 4.6 (Adaptive) leads
Knowledge
BenchmarkClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Result
Artificial Analysis Intelligence IndexSource 43.7%35.9%Claude Opus 4.6 (Adaptive) leads
AA-GPQA DiamondSource 89.6%79.9%Claude Opus 4.6 (Adaptive) leads
AA-HLESource 36.7%13.2%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience IndexSource 13.5%-2.9%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience AccuracySource 46.4%38.0%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience Hallucination RateSource 61.3%65.9%Claude Opus 4.6 (Adaptive) leads
GPQASource 89.9%Not comparable
SuperGPQASource 95%Not comparable
MMLU-ProSource 79.2%Not comparable
HLESource 49%Not comparable
Math
BenchmarkClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Result
FrontierMath v2 (Tiers 1-3)Source 32.400%Not comparable
FrontierMath v2 (Tier 4)Source 8.300%Not comparable
Multilingual
BenchmarkClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Result
AA Global-MMLU-LiteSource 92.2%Not comparable
Multimodal
BenchmarkClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Result
AA-MMMU-ProSource 75.4%70.6%Claude Opus 4.6 (Adaptive) leads
Design Arena WebsiteSource 13251314Claude Opus 4.6 (Adaptive) leads
CharXivSource 77.4%Not comparable
Inst. Following
BenchmarkClaude Opus 4.6 (Adaptive)Claude Sonnet 4.6Result
AA-IFBenchSource 53.1%41.2%Claude Opus 4.6 (Adaptive) leads
Frequently Asked Questions (3)

Can I compare Claude Opus 4.6 (Adaptive) and Claude Sonnet 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 Opus 4.6 (Adaptive) and Claude Sonnet 4.6 today?

Claude Sonnet 4.6: $3.00 input / $15.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.