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Model comparison

Claude Sonnet 4.5 Thinking vs GPT-4o

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.

No comparison
OpenAI
41.49/100
0 category wins0 category wins

Public leaderboard positions: Claude Sonnet 4.5 Thinking unranked (Not scored); GPT-4o #165 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Sonnet 4.5 Thinking and GPT-4o share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to Claude Sonnet 4.5 Thinking; 12 to GPT-4o.

Updated July 23, 2026
Shared results
1
Claude Sonnet 4.5 Thinking only
1
GPT-4o only
12
Comparable categories
0 / 8

Benchmark data for Claude Sonnet 4.5 Thinking and GPT-4o 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.

Claude Sonnet 4.5 Thinking has the larger context window at 200K, compared with 128K for GPT-4o.

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 4.5 Thinking and GPT-4o
CategoryClaude Sonnet 4.5 ThinkingΔGPT-4o
MathClaude Sonnet 4.5 ThinkingNot measuredMarginNo overlapGPT-4o0.3

Operational comparison

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

MetricClaude Sonnet 4.5 ThinkingGPT-4oComparison
Input / output priceUSD per 1M tokensClaude Sonnet 4.5 ThinkingNot availableGPT-4o$2.5 input / $10 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Sonnet 4.5 ThinkingNot availableGPT-4o131 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Sonnet 4.5 ThinkingNot availableGPT-4o0.81 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Sonnet 4.5 Thinking200KGPT-4o128KClaude Sonnet 4.5 Thinking lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Sonnet 4.5 ThinkingGPT-4oResult
τ²-bench resultsSource 25.1%Not comparable
Coding
BenchmarkClaude Sonnet 4.5 ThinkingGPT-4oResult
Vibe Code BenchSource 22.62%Not comparable
AA-SciCodeSource 33.3%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.5 ThinkingGPT-4oResult
AA-LCRSource 0.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkClaude Sonnet 4.5 ThinkingGPT-4oResult
Artificial Analysis Intelligence IndexSource 11.2%Not comparable
AA-GPQA DiamondSource 54.3%Not comparable
AA-HLESource 3.3%Not comparable
AA-Omniscience IndexSource -10.7%Not comparable
AA-Omniscience AccuracySource 19.7%Not comparable
AA-Omniscience Hallucination RateSource 37.9%Not comparable
Math
BenchmarkClaude Sonnet 4.5 ThinkingGPT-4oResult
FrontierMath v2 (Tiers 1-3)Source 0.345%Not comparable
Multimodal
BenchmarkClaude Sonnet 4.5 ThinkingGPT-4oResult
Design Arena WebsiteSource 1219861Claude Sonnet 4.5 Thinking leads
Inst. Following
BenchmarkClaude Sonnet 4.5 ThinkingGPT-4oResult
AA-IFBenchSource 34.3%Not comparable
Frequently Asked Questions (3)

Can I compare Claude Sonnet 4.5 Thinking and GPT-4o 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 4.5 Thinking and GPT-4o today?

GPT-4o: $2.50 input / $10.00 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

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