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Model comparison

Claude Opus 4.7 vs GPT-5.5 Pro

Data verified

Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

71.94/100
Margin
8.3pts
← winning
63.69/100
0 category wins1 category wins

Public leaderboard positions: Claude Opus 4.7 #12 (Supported); GPT-5.5 Pro #38 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.7 and GPT-5.5 Pro share 3 comparable benchmark results. 1 of 8 categories are comparable. 18 results are unique to Claude Opus 4.7; 4 to GPT-5.5 Pro.

Updated July 22, 2026
Shared results
3
Claude Opus 4.7 only
18
GPT-5.5 Pro only
4
Comparable categories
1 / 8

Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-5.5 Pro only becomes the better choice if mathematics is the priority or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude Opus 4.7 is clearly ahead on the BenchAlign aggregate, 71.94 to 63.69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.5 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $5.00 input / $25.00 output per 1M tokens for Claude Opus 4.7. That is roughly 7.2x on output cost alone. GPT-5.5 Pro is the reasoning model in the pair, while Claude Opus 4.7 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.

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 4.7 and GPT-5.5 Pro
CategoryClaude Opus 4.7ΔGPT-5.5 Pro
MathClaude Opus 4.738.6Margin 9.5GPT-5.5 Pro48.1
AgenticClaude Opus 4.7Not measuredMarginNo overlapGPT-5.5 Pro90.1
KnowledgeClaude Opus 4.7Not measuredMarginNo overlapGPT-5.5 Pro57.2

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Opus 4.7B · GPT-5.5 Pro
  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 22.917%B 39.600%
    Winner: GPT-5.5 ProΔ 16.7
    FrontierMath v2 (Tier 4): Claude Opus 4.7 scored 22.917%; GPT-5.5 Pro scored 39.600%. GPT-5.5 Pro wins this benchmark.
  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 43.793%B 51.000%
    Winner: GPT-5.5 ProΔ 7.2
    FrontierMath v2 (Tiers 1-3): Claude Opus 4.7 scored 43.793%; GPT-5.5 Pro scored 51.000%. GPT-5.5 Pro wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.7GPT-5.5 ProComparison
Input / output priceUSD per 1M tokensClaude Opus 4.7$5 input / $25 outputGPT-5.5 Pro$30 input / $180 outputClaude Opus 4.7 has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.7Not availableGPT-5.5 ProNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.7Not availableGPT-5.5 ProNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.71MGPT-5.5 Pro1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.7GPT-5.5 ProResult
τ²-bench resultsSource 74%Not comparable
Gert LabsSource 65.59%Not comparable
ResearchClawBenchSource 20.7%Not comparable
OSWorld 2.0Source 13.9%Not comparable
BrowseCompSource 90.1%Not comparable
Coding
BenchmarkClaude Opus 4.7GPT-5.5 ProResult
Vibe Code BenchSource 71.00%Not comparable
React Native EvalsSource 82.8%Not comparable
AA-SciCodeSource 50.1%Not comparable
FrontierCode 1.1 MainSource 38.5%Not comparable
Reasoning
BenchmarkClaude Opus 4.7GPT-5.5 ProResult
AA-LCRSource 67.0%Not comparable
CritPtSource 5.1%30.6%GPT-5.5 Pro leads
Knowledge
BenchmarkClaude Opus 4.7GPT-5.5 ProResult
Artificial Analysis Intelligence IndexSource 42.7%Not comparable
AA-GPQA DiamondSource 88.5%Not comparable
AA-HLESource 31.2%Not comparable
AA-Omniscience IndexSource 14.2%Not comparable
AA-Omniscience AccuracySource 43.5%Not comparable
AA-Omniscience Hallucination RateSource 51.9%Not comparable
HLESource 57.2%Not comparable
HLE w/o toolsSource 43.1%Not comparable
MathGPT-5.5 Pro wins
BenchmarkClaude Opus 4.7GPT-5.5 ProResult
FrontierMath v2 (Tiers 1-3)Source 43.793%51.000%GPT-5.5 Pro leads
FrontierMath v2 (Tier 4)Source 22.917%39.600%GPT-5.5 Pro leads
FrontierMath (legacy)Source 52.4%Not comparable
Multimodal
BenchmarkClaude Opus 4.7GPT-5.5 ProResult
AA-MMMU-ProSource 76.4%Not comparable
Design Arena WebsiteSource 1325Not comparable
Inst. Following
BenchmarkClaude Opus 4.7GPT-5.5 ProResult
AA-IFBenchSource 43.6%Not comparable
Frequently Asked Questions (2)

Which is better, Claude Opus 4.7 or GPT-5.5 Pro?

Claude Opus 4.7 is ahead on BenchLM's BenchAlign leaderboard, 71.94 to 63.69. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 22.917% and 39.600%.

Which is better for math, Claude Opus 4.7 or GPT-5.5 Pro?

GPT-5.5 Pro has the edge for math in this comparison, averaging 48.1 versus 38.6. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

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Last updated: July 22, 2026

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