# Claude Opus 4.7 (Adaptive) vs GPT-5.2

> Side-by-side benchmark comparison for Claude Opus 4.7 (Adaptive) and GPT-5.2 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/claude-opus-4-7-adaptive-vs-gpt-5-2
- Last updated: September 29, 2026

- Shared sourced benchmarks: 8
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. GPT-5.2 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Claude Opus 4.7 (Adaptive) leads overall 68.46 to 61.18.
- The clearest category separation is in coding, where the averages are 57.9 for Claude Opus 4.7 (Adaptive) and 39.7 for GPT-5.2.
- The biggest single benchmark swing is OSWorld-Verified in Agentic, with scores of 78% and 47.3%.
- GPT-5.2 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Claude Opus 4.7 (Adaptive) also has the larger context window at 1M.

## Model Snapshot

| Property | Claude Opus 4.7 (Adaptive) | GPT-5.2 |
|----------|----------|----------|
| Creator | Anthropic | OpenAI |
| Type | Proprietary | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 400K |
| Overall Score | 68.46 | 61.18 |
| Benchmarks Covered | 21 | 15 |
| Pricing (input/output) | $5.00 / $25.00 | $1.75 / $14.00 |

## Category Breakdown

### Agentic

- Winner: Claude Opus 4.7 (Adaptive)
- Claude Opus 4.7 (Adaptive) public-lane score: 59.1 (Supported · #22/117)
- GPT-5.2 public-lane score: 42.7 (Supported · #53/117)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| BrowseComp | 79.3% | 65.8% | Claude Opus 4.7 (Adaptive) |
| MCP Atlas | 77.3% | Coming soon | Coming soon |
| OSWorld-Verified | 78% | 47.3% | Claude Opus 4.7 (Adaptive) |
| CyberGym | 73.1% | Coming soon | Coming soon |
| OSWorld 2.0 | 18.2% | Coming soon | Coming soon |
| JobBench | 45.9% | 34.3% | Claude Opus 4.7 (Adaptive) |
| Gert Labs | Coming soon | 46.54% | Coming soon |

### Coding

- Winner: Directional only
- Claude Opus 4.7 (Adaptive) public-lane score: 57.9 (Estimated · #24/143)
- GPT-5.2 public-lane score: 39.7 (Supported · #62/143)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 87.6% | 80% | Claude Opus 4.7 (Adaptive) |
| SWE-bench Pro | 64.3% | 55.6% | Claude Opus 4.7 (Adaptive) |
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| Vibe Code Bench | Coming soon | 53.50% | Coming soon |

### Reasoning

- Winner: Not comparable
- Claude Opus 4.7 (Adaptive) public-lane score: 53.6 (Unranked · 3 rankable rows)
- GPT-5.2 public-lane score: 60.7 (Unranked · 3 rankable rows)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| MRCR v2 128K-256K | 59.2% | Coming soon | Coming soon |
| ARC-AGI-2 | 75.8% | 52.9% | Claude Opus 4.7 (Adaptive) |
| ARC-AGI-3 | 0.2% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Directional only
- Claude Opus 4.7 (Adaptive) public-lane score: 50.1 (#39/50)
- GPT-5.2 public-lane score: 67.3 (#23/50)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 43.6% | Coming soon | Coming soon |
| CharXiv | 91% | 82.1% | Claude Opus 4.7 (Adaptive) |
| CharXiv w/o tools | 82.1% | Coming soon | Coming soon |
| MMMU-Pro | Coming soon | 79.5% | Coming soon |
| MathVision | Coming soon | 83.0% | Coming soon |
| V* | Coming soon | 75.9% | Coming soon |

### Knowledge

- Winner: Directional only
- Claude Opus 4.7 (Adaptive) public-lane score: 63.9 (Estimated · #29/169)
- GPT-5.2 public-lane score: 57.6 (Supported · #44/169)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 94.2% | 92.4% | Claude Opus 4.7 (Adaptive) |
| GPQA-D | 94.2% | Coming soon | Coming soon |
| HLE | 54.7% | Coming soon | Coming soon |
| HLE w/o tools | 46.9% | Coming soon | Coming soon |

### Instruction Following

- Winner: Not comparable
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- GPT-5.2 public-lane score: 91.2 (#15/124)

### Mathematics

- Winner: Not comparable
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- GPT-5.2 public-lane score: 57.4 (Unranked · 2 rankable rows)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 43.8% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 40.700% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 18.800% | Coming soon |

## FAQ

### Which is better overall, Claude Opus 4.7 (Adaptive) or GPT-5.2?

Claude Opus 4.7 (Adaptive) is ahead overall on BenchLM right now.

### Where is the biggest gap between Claude Opus 4.7 (Adaptive) and GPT-5.2?

The widest category gap is in coding, where the averages are 57.9 for Claude Opus 4.7 (Adaptive) and 39.7 for GPT-5.2.

### How many benchmarks does Claude Opus 4.7 (Adaptive) cover on BenchLM?

Claude Opus 4.7 (Adaptive) currently has 21 sourced benchmark scores on BenchLM.

### How many benchmarks does GPT-5.2 cover on BenchLM?

GPT-5.2 currently has 15 sourced benchmark scores on BenchLM.

## Related Comparisons

- [Claude Opus 4.7 (Adaptive) vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-claude-opus-4-7-adaptive)
- [GPT-5.2 vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-gpt-5-2)
- [Claude Opus 4.7 (Adaptive) vs GPT-5.2 Pro](/compare/claude-opus-4-7-adaptive-vs-gpt-5-2-pro)
- [GPT-5.2 vs GPT-5.2 Pro](/compare/gpt-5-2-vs-gpt-5-2-pro)

## Explore More

- [Claude Opus 4.7 (Adaptive) profile](/models/claude-opus-4-7-adaptive)
- [GPT-5.2 profile](/models/gpt-5-2)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)