# Claude 3.5 Sonnet vs GPT-5.5

> Side-by-side benchmark comparison for Claude 3.5 Sonnet and GPT-5.5 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/claude-3-5-sonnet-vs-gpt-5-5
- Last updated: September 4, 2026

- Shared sourced benchmarks: 3
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: Claude 3.5 Sonnet and GPT-5.5 share only 3 sourced benchmark rows.

## Summary

- Only 3 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Claude 3.5 Sonnet has the lower published output-token price.
- GPT-5.5 has the larger published context window at 1M.

## Model Snapshot

| Property | Claude 3.5 Sonnet | GPT-5.5 |
|----------|----------|----------|
| Creator | Anthropic | OpenAI |
| Type | Proprietary | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 200K | 1M |
| Independent public score (not head-to-head) | 31.93 | 73.27 |
| Benchmarks Covered | 4 | 38 |
| Pricing (input/output) | $3.00 / $15.00 | $5.00 / $30.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Claude 3.5 Sonnet public-lane score: Coming soon
- GPT-5.5 public-lane score: 63.9 (Supported · #15/151)

| Benchmark | Claude 3.5 Sonnet | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | Coming soon | 82% | Coming soon |
| CyberGym | Coming soon | 81.8% | Coming soon |
| BrowseComp | Coming soon | 84.4% | Coming soon |
| OSWorld-Verified | Coming soon | 78.7% | Coming soon |
| MCP Atlas | Coming soon | 75.3% | Coming soon |
| Toolathlon | Coming soon | 55.6% | Coming soon |
| τ²-bench results | Coming soon | 98% | Coming soon |
| Gert Labs | Coming soon | 72.93% | Coming soon |
| ResearchClawBench | Coming soon | 17.0% | Coming soon |
| OSWorld 2.0 | Coming soon | 13.0% | Coming soon |
| JobBench | Coming soon | 42.7% | Coming soon |
| ExploitGym | Coming soon | 13.4% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 76.4% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Claude 3.5 Sonnet public-lane score: Coming soon
- GPT-5.5 public-lane score: 67.7 (Supported · #8/183)

| Benchmark | Claude 3.5 Sonnet | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 49% | Coming soon | Coming soon |
| SWE-bench Pro | Coming soon | 58.6% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 82.0% | Coming soon |
| Vibe Code Bench | Coming soon | 69.85% | Coming soon |
| React Native Evals | Coming soon | 84.7% | Coming soon |
| cursorBench31 | Coming soon | 59.2% | Coming soon |
| cursorBench32 | Coming soon | 58.4% | Coming soon |
| FrontierCode 1.1 Main | Coming soon | 43.0% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 85.3% | Coming soon |
| SWE-bench (Vals) | Coming soon | 82.6% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Claude 3.5 Sonnet public-lane score: Coming soon
- GPT-5.5 public-lane score: 71.3 (#19/48)

| Benchmark | Claude 3.5 Sonnet | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | Coming soon | 81.2% | Coming soon |
| MMMU-Pro w/ Python | Coming soon | 83.2% | Coming soon |
| OfficeQA Pro | Coming soon | 54.1% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Claude 3.5 Sonnet public-lane score: Coming soon
- GPT-5.5 public-lane score: 63.5 (#15/22)

| Benchmark | Claude 3.5 Sonnet | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| MRCR v2 64K-128K | Coming soon | 83.1% | Coming soon |
| MRCR v2 128K-256K | Coming soon | 87.5% | Coming soon |
| ARC-AGI-2 | Coming soon | 85% | Coming soon |
| ARC-AGI-3 | Coming soon | 0.4% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Claude 3.5 Sonnet public-lane score: Coming soon
- GPT-5.5 public-lane score: 73.3 (Supported · #7/181)

| Benchmark | Claude 3.5 Sonnet | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 59.4% | 93.6% | GPT-5.5 |
| GPQA-D | Coming soon | 93.6% | Coming soon |
| HLE | Coming soon | 52.2% | Coming soon |
| HLE w/o tools | Coming soon | 41.4% | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 93.2% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 88.1% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Claude 3.5 Sonnet public-lane score: Coming soon
- GPT-5.5 public-lane score: 92.9 (#7/120)

### Mathematics

- Winner: Insufficient shared evidence
- Claude 3.5 Sonnet public-lane score: 25.7 (Unranked · 2 rankable rows)
- GPT-5.5 public-lane score: 69.6 (Unranked · 3 rankable rows)

| Benchmark | Claude 3.5 Sonnet | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 2.069% | 51.700% | GPT-5.5 |
| FrontierMath v2 (Tier 4) | 0.000% | 35.400% | GPT-5.5 |
| FrontierMath (legacy) | Coming soon | 51.7% | Coming soon |

## FAQ

### Is there enough evidence to pick between Claude 3.5 Sonnet and GPT-5.5?

Not yet. The models share only 3 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [Claude 3.5 Sonnet vs GPT-5.5 Pro](/compare/claude-3-5-sonnet-vs-gpt-5-5-pro)
- [GPT-5.5 vs GPT-5.5 Pro](/compare/gpt-5-5-vs-gpt-5-5-pro)
- [Claude 3.5 Sonnet vs Claude Fable 5.1](/compare/claude-3-5-sonnet-vs-claude-fable-5-1)
- [GPT-5.5 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-gpt-5-5)

## Explore More

- [Claude 3.5 Sonnet profile](/models/claude-3-5-sonnet)
- [GPT-5.5 profile](/models/gpt-5-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
