Model comparison
Claude Sonnet 5 vs GPT-5.5
Head-to-head evidence from 30 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 5 #29 (Estimated); GPT-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and GPT-5.5 share 30 comparable benchmark results. 4 of 8 categories are comparable. 6 results are unique to Claude Sonnet 5; 27 to GPT-5.5.
Updated July 23, 2026- Shared results
- 30
- Claude Sonnet 5 only
- 6
- GPT-5.5 only
- 27
- Comparable categories
- 4 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. Claude Sonnet 5 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 30 shared benchmark results across 5 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 65.32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in knowledge, where it averages 57.8 against 57.4. The single biggest benchmark swing on the page is HLE, 57.4% to 52.2%. Claude Sonnet 5 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $2.00 input / $10.00 output per 1M tokens for Claude Sonnet 5. That is roughly 3.0x 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 |
|---|---|---|---|
| Coding | Claude Sonnet 576.7 | Margin← 18.1 | GPT-5.558.6 |
| Multimodal | Claude Sonnet 588.3 | Margin← 17.9 | GPT-5.570.4 |
| Knowledge | Claude Sonnet 557.4 | Margin→ 0.4 | GPT-5.557.8 |
| Agentic | Claude Sonnet 581.9 | Margin← 0.3 | GPT-5.581.6 |
| Reasoning | Claude Sonnet 5Not measured | MarginNo overlap | GPT-5.585.0 |
| Math | Claude Sonnet 5Not measured | MarginNo overlap | GPT-5.547.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 57.4%B 52.2%Winner: Claude Sonnet 5Δ 5.2HLE: Claude Sonnet 5 scored 57.4%; GPT-5.5 scored 52.2%. Claude Sonnet 5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 63.2%B 58.6%Winner: Claude Sonnet 5Δ 4.6SWE-bench Pro: Claude Sonnet 5 scored 63.2%; GPT-5.5 scored 58.6%. Claude Sonnet 5 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 81.2%B 78.7%Winner: Claude Sonnet 5Δ 2.5OSWorld-Verified: Claude Sonnet 5 scored 81.2%; GPT-5.5 scored 78.7%. Claude Sonnet 5 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 80.4%B 82%Winner: GPT-5.5Δ 1.6Terminal-Bench 2.0: Claude Sonnet 5 scored 80.4%; GPT-5.5 scored 82%. GPT-5.5 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.7%B 84.4%Winner: Claude Sonnet 5Δ 0.3BrowseComp: Claude Sonnet 5 scored 84.7%; GPT-5.5 scored 84.4%. 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 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | GPT-5.5$5 input / $30 output | Claude Sonnet 5 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | GPT-5.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | GPT-5.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | GPT-5.51M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticClaude Sonnet 5 wins25 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-5.5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | 82% | GPT-5.5 leads |
| BrowseCompSource | 84.7% | 84.4% | Claude Sonnet 5 leads |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | 78.7% | Claude Sonnet 5 leads |
| GDPval-AASource | 1607 | 1490 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | 44.9% | Claude Sonnet 5 leads |
| GDPval-AASource | 55.4% | 49.5% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | 1154 | Claude Sonnet 5 leads |
| AA AutomationBenchSource | 39.2% | 42.1% | GPT-5.5 leads |
| AA EnterpriseOps-GymSource | 44.7% | 46.6% | GPT-5.5 leads |
| AA Harvey LABSource | 90.1% | 86.3% | Claude Sonnet 5 leads |
| AA Tau3 BankingSource | 28.2% | 31.3% | GPT-5.5 leads |
| aaTerminalBench21Source | 80.5% | 84.3% | GPT-5.5 leads |
| CyberGymSource | — | 81.8% | Not comparable |
| MCP AtlasSource | — | 75.3% | Not comparable |
| ToolathlonSource | — | 55.6% | Not comparable |
| τ²-bench resultsSource | — | 93.9% | Not comparable |
| APEX-Agents-AASource | — | 37.7% | Not comparable |
| Gert LabsSource | — | 72.93% | Not comparable |
| ResearchClawBenchSource | — | 17.0% | Not comparable |
| OSWorld 2.0Source | — | 13.0% | Not comparable |
| JobBenchSource | — | 42.7% | Not comparable |
| ExploitGymSource | — | 13.4% | Not comparable |
| AA ITBenchSource | — | 45.8% | Not comparable |
| terminalBenchHardSource | — | 60.6% | Not comparable |
CodingClaude Sonnet 5 wins12 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-5.5 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | — | Not comparable |
| SWE-bench ProSource | 63.2% | 58.6% | Claude Sonnet 5 leads |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | 82.0% | GPT-5.5 leads |
| FrontierCode 1.1 MainSource | 42.7% | 43.0% | GPT-5.5 leads |
| cursorBench32Source | 61.5% | 58.4% | Claude Sonnet 5 leads |
| AA Coding IndexSource | 71.5% | 74.9% | GPT-5.5 leads |
| AA-SciCodeSource | 53.6% | 56.1% | GPT-5.5 leads |
| Vibe Code BenchSource | — | 69.85% | Not comparable |
| React Native EvalsSource | — | 84.7% | Not comparable |
| cursorBench31Source | — | 59.2% | Not comparable |
Reasoning5 benchmarks
KnowledgeGPT-5.5 wins10 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-5.5 | Result |
|---|---|---|---|
| HLESource | 57.4% | 52.2% | Claude Sonnet 5 leads |
| HLE w/o toolsSource | 43.2% | 41.4% | Claude Sonnet 5 leads |
| Artificial Analysis Intelligence IndexSource | 53.4% | 54.8% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 91.1% | 93.5% | GPT-5.5 leads |
| AA-HLESource | 39.6% | 44.3% | GPT-5.5 leads |
| AA-Omniscience IndexSource | 15.3% | 20.1% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 38.3% | 56.9% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 85.5% | Claude Sonnet 5 leads |
| GPQASource | — | 93.6% | Not comparable |
| GPQA-DSource | — | 93.6% | Not comparable |
Math3 benchmarks
MultimodalClaude Sonnet 5 wins7 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-5.5 | Result |
|---|---|---|---|
| CharXivSource | 88.3% | — | Not comparable |
| CharXiv w/o toolsSource | 77% | — | Not comparable |
| AA-MMMU-ProSource | 77.3% | 79.9% | GPT-5.5 leads |
| Design Arena WebsiteSource | 1314 | 1282 | Claude Sonnet 5 leads |
| MMMU-ProSource | — | 81.2% | Not comparable |
| MMMU-Pro w/ PythonSource | — | 83.2% | Not comparable |
| OfficeQA ProSource | — | 54.1% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-5.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.9% | Not comparable |
Frequently Asked Questions (5)
Which is better, Claude Sonnet 5 or GPT-5.5?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 65.32. The biggest single separator in this matchup is HLE, where the scores are 57.4% and 52.2%.
Which is better for knowledge tasks, Claude Sonnet 5 or GPT-5.5?
GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 57.8 versus 57.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Sonnet 5 or GPT-5.5?
Claude Sonnet 5 has the edge for coding in this comparison, averaging 76.7 versus 58.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Sonnet 5 or GPT-5.5?
Claude Sonnet 5 has the edge for agentic tasks in this comparison, averaging 81.9 versus 81.6. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Sonnet 5 or GPT-5.5?
Claude Sonnet 5 has the edge for multimodal and grounded tasks in this comparison, averaging 88.3 versus 70.4. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.