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Model comparison

Claude Sonnet 4.6 vs o1-preview

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

65.07/100
Margin
16.0pts
← winning
49.11/100
0 category wins0 category wins

Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); o1-preview #123 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Sonnet 4.6 and o1-preview share 1 comparable benchmark result. 0 of 8 categories are comparable. 32 results are unique to Claude Sonnet 4.6; 1 to o1-preview.

Updated July 20, 2026
Shared results
1
Claude Sonnet 4.6 only
32
o1-preview only
1
Comparable categories
0 / 8

Benchmark data for Claude Sonnet 4.6 and o1-preview is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.

o1-preview is priced at $15.00 input / $60.00 output per 1M tokens, versus $3.00 input / $15.00 output per 1M tokens 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 Sonnet 4.6 and o1-preview
CategoryClaude Sonnet 4.6Δo1-preview
AgenticClaude Sonnet 4.665.2MarginNo overlapo1-previewNot measured
CodingClaude Sonnet 4.669.1MarginNo overlapo1-previewNot measured
KnowledgeClaude Sonnet 4.666.0MarginNo overlapo1-previewNot measured
MathClaude Sonnet 4.626.4MarginNo overlapo1-previewNot measured
MultimodalClaude Sonnet 4.677.4MarginNo overlapo1-previewNot measured

Operational comparison

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

MetricClaude Sonnet 4.6o1-previewComparison
Input / output priceUSD per 1M tokensClaude Sonnet 4.6$3 input / $15 outputo1-preview$15 input / $60 outputClaude Sonnet 4.6 has the lower combined listed price.
Generation speedtokens per secondClaude Sonnet 4.644 tok/so1-previewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Sonnet 4.61.48 so1-previewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Sonnet 4.6200Ko1-preview200KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Sonnet 4.6o1-previewResult
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
τ²-bench resultsSource 79.5%Not comparable
Gert LabsSource 62.92%Not comparable
OSWorld 2.0Source 8.3%Not comparable
JobBenchSource 36.9%Not comparable
Coding
BenchmarkClaude Sonnet 4.6o1-previewResult
SWE-bench VerifiedSource 79.6%Not comparable
SWE-RebenchSource 60.7%Not comparable
React Native EvalsSource 80.6%Not comparable
Vibe Code BenchSource 51.48%Not comparable
cursorBench31Source 48.8%Not comparable
AA-SciCodeSource 46.9%Not comparable
FrontierCode 1.1 MainSource 24.3%Not comparable
AA Coding IndexSource 34.0%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.6o1-previewResult
AA-LCRSource 57.7%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
BenchmarkClaude Sonnet 4.6o1-previewResult
GPQASource 89.9%Not comparable
SuperGPQASource 95%Not comparable
MMLU-ProSource 79.2%Not comparable
HLESource 49%Not comparable
Artificial Analysis Intelligence IndexSource 35.9%17.0%Claude Sonnet 4.6 leads
AA-GPQA DiamondSource 79.9%Not comparable
AA-HLESource 13.2%Not comparable
AA-Omniscience IndexSource -2.9%Not comparable
AA-Omniscience AccuracySource 38.0%Not comparable
AA-Omniscience Hallucination RateSource 65.9%Not comparable
Math
BenchmarkClaude Sonnet 4.6o1-previewResult
FrontierMath v2 (Tiers 1-3)Source 32.400%Not comparable
FrontierMath v2 (Tier 4)Source 8.300%Not comparable
Multimodal
BenchmarkClaude Sonnet 4.6o1-previewResult
CharXivSource 77.4%Not comparable
AA-MMMU-ProSource 70.6%Not comparable
Design Arena WebsiteSource 1317Not comparable
Inst. Following
BenchmarkClaude Sonnet 4.6o1-previewResult
AA-IFBenchSource 41.2%Not comparable
Frequently Asked Questions (3)

Can I compare Claude Sonnet 4.6 and o1-preview 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 Sonnet 4.6 and o1-preview today?

Claude Sonnet 4.6: $3.00 input / $15.00 output per 1M tokens o1-preview: $15.00 input / $60.00 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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