Model comparison
Claude Opus 4.5 vs GPT-5.5 Pro
Head-to-head evidence from 4 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.5 #34 (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 4.5 and GPT-5.5 Pro share 4 comparable benchmark results. 3 of 8 categories are comparable. 55 results are unique to Claude Opus 4.5; 3 to GPT-5.5 Pro.
Updated July 23, 2026- Shared results
- 4
- Claude Opus 4.5 only
- 55
- GPT-5.5 Pro only
- 3
- Comparable categories
- 3 / 8
Pick Claude Opus 4.5 if you want the stronger benchmark profile. GPT-5.5 Pro only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 3 evidence categories; 3 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 4.5 has the cleaner BenchAlign overall profile here, landing at 64.22 versus 63.69. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Opus 4.5's sharpest advantage is in mathematics, where it averages 57.5 against 48.1. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 4.167% to 39.600%. GPT-5.5 Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
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 4.5. That is roughly 7.2x on output cost alone. GPT-5.5 Pro is the reasoning model in the pair, while Claude Opus 4.5 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. GPT-5.5 Pro gives you the larger context window at 1M, compared with 200K for Claude Opus 4.5.
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 | Claude Opus 4.5 | Δ | GPT-5.5 Pro |
|---|---|---|---|
| Agentic | Claude Opus 4.562.6 | Margin→ 27.5 | GPT-5.5 Pro90.1 |
| Math | Claude Opus 4.557.5 | Margin← 9.4 | GPT-5.5 Pro48.1 |
| Knowledge | Claude Opus 4.558.1 | Margin← 0.9 | GPT-5.5 Pro57.2 |
| Coding | Claude Opus 4.571.7 | MarginNo overlap | GPT-5.5 ProNot measured |
| Reasoning | Claude Opus 4.564.4 | MarginNo overlap | GPT-5.5 ProNot measured |
| Multilingual | Claude Opus 4.585.7 | MarginNo overlap | GPT-5.5 ProNot measured |
| Multimodal | Claude Opus 4.569.9 | MarginNo overlap | GPT-5.5 ProNot measured |
| Inst. Following | Claude Opus 4.569.5 | MarginNo overlap | GPT-5.5 ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tier 4)
MathA 4.167%B 39.600%Winner: GPT-5.5 ProΔ 35.4FrontierMath v2 (Tier 4): Claude Opus 4.5 scored 4.167%; GPT-5.5 Pro scored 39.600%. GPT-5.5 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 20.690%B 51.000%Winner: GPT-5.5 ProΔ 30.3FrontierMath v2 (Tiers 1-3): Claude Opus 4.5 scored 20.690%; GPT-5.5 Pro scored 51.000%. GPT-5.5 Pro wins this benchmark. - Source ↗
HLE
KnowledgeA 30.8%B 57.2%Winner: GPT-5.5 ProΔ 26.4HLE: Claude Opus 4.5 scored 30.8%; GPT-5.5 Pro scored 57.2%. GPT-5.5 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 | GPT-5.5 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5$5 input / $25 output | GPT-5.5 Pro$30 input / $180 output | Claude Opus 4.5 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.546 tok/s | GPT-5.5 ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.51.01 s | GPT-5.5 ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.5200K | GPT-5.5 Pro1M | GPT-5.5 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.5 Pro wins17 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.5 Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.3% | — | Not comparable |
| OSWorld-VerifiedSource | 66.3% | — | Not comparable |
| OSWorldSource | 66.3% | — | Not comparable |
| Claw-EvalSource | 59.6% | — | Not comparable |
| QwenClawBenchSource | 52.3% | — | Not comparable |
| τ³-bench resultsSource | 70.2% | — | Not comparable |
| VITA-BenchSource | 23.3% | — | Not comparable |
| DeepPlanningSource | 26.4% | — | Not comparable |
| ToolathlonSource | 43.5% | — | Not comparable |
| MCP AtlasSource | 42.3% | — | Not comparable |
| MCP-TasksSource | 71.8% | — | Not comparable |
| WideResearchSource | 76.4% | — | Not comparable |
| CyberGymSource | 50.6% | — | Not comparable |
| τ²-bench resultsSource | 86.3% | — | Not comparable |
| Gert LabsSource | 64.23% | — | Not comparable |
| JobBenchSource | 32.3% | — | Not comparable |
| BrowseCompSource | — | 90.1% | Not comparable |
Coding6 benchmarks
Reasoning4 benchmarks
KnowledgeClaude Opus 4.5 wins14 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.5 Pro | Result |
|---|---|---|---|
| GPQASource | 87% | — | Not comparable |
| SuperGPQASource | 70.6% | — | Not comparable |
| MMLU-ProSource | 89.5% | — | Not comparable |
| MMLU-ReduxSource | 96.6% | — | Not comparable |
| C-EvalSource | 92.2% | — | Not comparable |
| HLESource | 30.8% | 57.2% | GPT-5.5 Pro leads |
| Artificial Analysis Intelligence IndexSource | 34.7% | — | Not comparable |
| AA-GPQA DiamondSource | 81.0% | — | Not comparable |
| AA-HLESource | 12.9% | — | Not comparable |
| AA-Omniscience IndexSource | -3.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 40.7% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 75.4% | — | Not comparable |
| AA MMLU-ProSource | 88.9% | — | Not comparable |
| HLE w/o toolsSource | — | 43.1% | Not comparable |
MathClaude Opus 4.5 wins8 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.5 Pro | Result |
|---|---|---|---|
| AIME26Source | 95.1% | — | Not comparable |
| HMMT Feb 2025Source | 92.9% | — | Not comparable |
| HMMT Nov 2025Source | 93.3% | — | Not comparable |
| HMMT Feb 2026Source | 85.3% | — | Not comparable |
| MMAnswerBenchSource | 84.0% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 20.690% | 51.000% | GPT-5.5 Pro leads |
| FrontierMath v2 (Tier 4)Source | 4.167% | 39.600% | GPT-5.5 Pro leads |
| FrontierMath (legacy)Source | — | 52.4% | Not comparable |
Multilingual2 benchmarks
Multimodal8 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.5 Pro | Result |
|---|---|---|---|
| MMMU-ProSource | 70.6% | — | Not comparable |
| MathVisionSource | 74.3% | — | Not comparable |
| CharXivSource | 68.5% | — | Not comparable |
| VideoMMMUSource | 84.4% | — | Not comparable |
| ScreenSpot ProSource | 45.7% | — | Not comparable |
| V*Source | 67.0% | — | Not comparable |
| AA-MMMU-ProSource | 71.2% | — | Not comparable |
| Design Arena WebsiteSource | 1277 | — | Not comparable |
Frequently Asked Questions (4)
Which is better, Claude Opus 4.5 or GPT-5.5 Pro?
Claude Opus 4.5 is ahead on BenchLM's BenchAlign leaderboard, 64.22 to 63.69. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 4.167% and 39.600%.
Which is better for knowledge tasks, Claude Opus 4.5 or GPT-5.5 Pro?
Claude Opus 4.5 has the edge for knowledge tasks in this comparison, averaging 58.1 versus 57.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for math, Claude Opus 4.5 or GPT-5.5 Pro?
Claude Opus 4.5 has the edge for math in this comparison, averaging 57.5 versus 48.1. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Opus 4.5 or GPT-5.5 Pro?
GPT-5.5 Pro has the edge for agentic tasks in this comparison, averaging 90.1 versus 62.6. Claude Opus 4.5 stays close enough that the answer can still flip depending on your workload.
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