Model comparison
Claude Sonnet 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 Sonnet 5 #29 (Estimated); GPT-5.5 Pro #38 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and GPT-5.5 Pro share 4 comparable benchmark results. 2 of 8 categories are comparable. 32 results are unique to Claude Sonnet 5; 3 to GPT-5.5 Pro.
Updated July 23, 2026- Shared results
- 4
- Claude Sonnet 5 only
- 32
- GPT-5.5 Pro only
- 3
- Comparable categories
- 2 / 8
Pick Claude Sonnet 5 if you want the stronger benchmark profile. GPT-5.5 Pro only becomes the better choice if agentic is the priority.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 3 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Sonnet 5 has the cleaner BenchAlign overall profile here, landing at 65.32 versus 63.69. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Sonnet 5's sharpest advantage is in knowledge, where it averages 57.4 against 57.2. The single biggest benchmark swing on the page is BrowseComp, 84.7% to 90.1%. 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 $2.00 input / $10.00 output per 1M tokens for Claude Sonnet 5. That is roughly 18.0x on output cost alone.
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 Sonnet 5 | Δ | GPT-5.5 Pro |
|---|---|---|---|
| Agentic | Claude Sonnet 581.9 | Margin→ 8.2 | GPT-5.5 Pro90.1 |
| Knowledge | Claude Sonnet 557.4 | Margin← 0.2 | GPT-5.5 Pro57.2 |
| Coding | Claude Sonnet 576.7 | MarginNo overlap | GPT-5.5 ProNot measured |
| Math | Claude Sonnet 5Not measured | MarginNo overlap | GPT-5.5 Pro48.1 |
| Multimodal | Claude Sonnet 588.3 | MarginNo overlap | GPT-5.5 ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 84.7%B 90.1%Winner: GPT-5.5 ProΔ 5.4BrowseComp: Claude Sonnet 5 scored 84.7%; GPT-5.5 Pro scored 90.1%. GPT-5.5 Pro wins this benchmark. - Source ↗
HLE
KnowledgeA 57.4%B 57.2%Winner: Claude Sonnet 5Δ 0.2HLE: Claude Sonnet 5 scored 57.4%; GPT-5.5 Pro scored 57.2%. Claude Sonnet 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | GPT-5.5 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | GPT-5.5 Pro$30 input / $180 output | Claude Sonnet 5 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | GPT-5.5 ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | GPT-5.5 ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | GPT-5.5 Pro1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.5 Pro wins13 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-5.5 Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| BrowseCompSource | 84.7% | 90.1% | GPT-5.5 Pro leads |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | — | Not comparable |
| AA Agentic IndexSource | 46.7% | — | Not comparable |
| GDPval-AASource | 55.4% | — | Not comparable |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | — | Not comparable |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-5.5 Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | — | Not comparable |
| SWE-bench ProSource | 63.2% | — | Not comparable |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | — | Not comparable |
| AA-SciCodeSource | 53.6% | — | Not comparable |
Reasoning2 benchmarks
KnowledgeClaude Sonnet 5 wins8 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-5.5 Pro | Result |
|---|---|---|---|
| HLESource | 57.4% | 57.2% | Claude Sonnet 5 leads |
| HLE w/o toolsSource | 43.2% | 43.1% | Claude Sonnet 5 leads |
| Artificial Analysis Intelligence IndexSource | 53.4% | — | Not comparable |
| AA-GPQA DiamondSource | 91.1% | — | Not comparable |
| AA-HLESource | 39.6% | — | Not comparable |
| AA-Omniscience IndexSource | 15.3% | — | Not comparable |
| AA-Omniscience AccuracySource | 38.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 37.3% | — | Not comparable |
Math3 benchmarks
Frequently Asked Questions (3)
Which is better, Claude Sonnet 5 or GPT-5.5 Pro?
Claude Sonnet 5 is ahead on BenchLM's BenchAlign leaderboard, 65.32 to 63.69. The biggest single separator in this matchup is BrowseComp, where the scores are 84.7% and 90.1%.
Which is better for knowledge tasks, Claude Sonnet 5 or GPT-5.5 Pro?
Claude Sonnet 5 has the edge for knowledge tasks in this comparison, averaging 57.4 versus 57.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Sonnet 5 or GPT-5.5 Pro?
GPT-5.5 Pro has the edge for agentic tasks in this comparison, averaging 90.1 versus 81.9. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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