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Model comparison

Claude Opus 4.6 (Adaptive) vs Inkling

Data verified

Head-to-head evidence from 10 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

63.89/100
Margin
8.1pts
winning →
Thinking Machines Lab
72/100
0 category wins0 category wins

Verified leaderboard positions: Claude Opus 4.6 (Adaptive) unranked; Inkling #17

BenchAlign evidence: Claude Opus 4.6 (Adaptive) estimated; Inkling not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 (Adaptive) and Inkling share 10 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to Claude Opus 4.6 (Adaptive); 22 to Inkling.

Updated July 16, 2026
Shared results
10
Claude Opus 4.6 (Adaptive) only
7
Inkling only
22
Comparable categories
0 / 8

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

Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 4 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.

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 Inkling
CategoryClaude Opus 4.6 (Adaptive)ΔInkling
AgenticClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapInkling69.4
CodingClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapInkling68.6
KnowledgeClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapInkling51.7
MathClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapInkling97.1
MultimodalClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapInkling76.5
Inst. FollowingClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapInkling79.8

Operational comparison

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

MetricClaude Opus 4.6 (Adaptive)InklingComparison
Input / output priceUSD per 1M tokensClaude Opus 4.6 (Adaptive)Not availableInkling$1.87 input / $4.68 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.6 (Adaptive)Not availableInklingNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.6 (Adaptive)Not availableInklingNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.6 (Adaptive)1MInkling1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.6 (Adaptive)InklingResult
APEX-Agents-AASource 33.0%Not comparable
τ²-bench resultsSource 92.1%Not comparable
Terminal-Bench 2.0Source 63.8%Not comparable
BrowseCompSource 77.1%Not comparable
MCP AtlasSource 74.1%Not comparable
Design Arena Agentic Web DevSource 1258Not comparable
AA Agentic IndexSource 32.3%Not comparable
GDPval-AASource 36.9%Not comparable
GDPval-AASource 1239Not comparable
AA BriefcaseSource 836Not comparable
AA Tau3 BankingSource 23.7%Not comparable
Coding
BenchmarkClaude Opus 4.6 (Adaptive)InklingResult
Vibe Code BenchSource 53.50%Not comparable
Terminal-Bench HardSource 46.2%Not comparable
AA-SciCodeSource 51.9%46.1%Claude Opus 4.6 (Adaptive) leads
SWE-bench VerifiedSource 77.6%Not comparable
SWE-bench ProSource 54.3%Not comparable
Terminal-Bench 2.0Source 63.8%Not comparable
AA Coding IndexSource 52.1%Not comparable
Reasoning
BenchmarkClaude Opus 4.6 (Adaptive)InklingResult
AA-LCRSource 70.7%63.3%Claude Opus 4.6 (Adaptive) leads
CritPtSource 12.6%5.4%Claude Opus 4.6 (Adaptive) leads
Knowledge
BenchmarkClaude Opus 4.6 (Adaptive)InklingResult
Artificial Analysis Intelligence IndexSource 43.7%40.7%Claude Opus 4.6 (Adaptive) leads
AA-GPQA DiamondSource 89.6%87.2%Claude Opus 4.6 (Adaptive) leads
AA-HLESource 36.7%29.7%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience IndexSource 13.5%2.1%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience AccuracySource 46.4%40.0%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience Hallucination RateSource 61.3%63.1%Claude Opus 4.6 (Adaptive) leads
GPQASource 87.9%Not comparable
GPQA-DSource 87.9%Not comparable
HLESource 46%Not comparable
HLE w/o toolsSource 30%Not comparable
Math
BenchmarkClaude Opus 4.6 (Adaptive)InklingResult
AIME26Source 97.1%Not comparable
Multilingual
BenchmarkClaude Opus 4.6 (Adaptive)InklingResult
AA Global-MMLU-LiteSource 92.2%Not comparable
Multimodal
BenchmarkClaude Opus 4.6 (Adaptive)InklingResult
AA-MMMU-ProSource 75.4%73.5%Claude Opus 4.6 (Adaptive) leads
Design Arena WebsiteSource 1330Not comparable
MMMU-ProSource 73.5%Not comparable
CharXivSource 82%Not comparable
CharXiv w/o toolsSource 78.1%Not comparable
Inst. Following
BenchmarkClaude Opus 4.6 (Adaptive)InklingResult
AA-IFBenchSource 53.1%Not comparable
IFBenchSource 79.8%Not comparable
Frequently Asked Questions (3)

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

Inkling: $1.87 input / $4.68 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 16, 2026

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