# Claude Opus 4.7 (Adaptive) vs GPT-5.2-Codex

> Side-by-side benchmark comparison for Claude Opus 4.7 (Adaptive) and GPT-5.2-Codex 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-codex
- Last updated: September 4, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: Claude Opus 4.7 (Adaptive) and GPT-5.2-Codex share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- GPT-5.2-Codex has the lower published output-token price.
- Claude Opus 4.7 (Adaptive) has the larger published context window at 1M.

## Model Snapshot

| Property | Claude Opus 4.7 (Adaptive) | GPT-5.2-Codex |
|----------|----------|----------|
| Creator | Anthropic | OpenAI |
| Type | Proprietary | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 400K |
| Independent public score (not head-to-head) | 69.94 | 56.38 |
| Benchmarks Covered | 21 | 3 |
| Pricing (input/output) | $5.00 / $25.00 | $1.75 / $14.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 61 (Supported · #21/151)
- GPT-5.2-Codex public-lane score: 52.4 (Estimated · #46/151)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2-Codex | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| BrowseComp | 79.3% | Coming soon | Coming soon |
| MCP Atlas | 77.3% | Coming soon | Coming soon |
| OSWorld-Verified | 78% | Coming soon | Coming soon |
| CyberGym | 73.1% | Coming soon | Coming soon |
| OSWorld 2.0 | 18.2% | Coming soon | Coming soon |
| JobBench | 45.9% | 26.0% | Claude Opus 4.7 (Adaptive) |
| Gert Labs | Coming soon | 51.79% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 59.6 (Estimated · #27/183)
- GPT-5.2-Codex public-lane score: 52.5 (Supported · #54/183)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2-Codex | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 87.6% | Coming soon | Coming soon |
| SWE-bench Pro | 64.3% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| Vibe Code Bench | Coming soon | 37.91% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 50.3 (#36/48)
- GPT-5.2-Codex public-lane score: 72.4 (Unranked · 1 rankable row)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2-Codex | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 43.6% | Coming soon | Coming soon |
| CharXiv | 91% | Coming soon | Coming soon |
| CharXiv w/o tools | 82.1% | Coming soon | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 49.7 (Unranked · 3 rankable rows)
- GPT-5.2-Codex public-lane score: 78 (Unranked · 2 rankable rows)

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

### Knowledge

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 61.9 (Estimated · #31/181)
- GPT-5.2-Codex public-lane score: 57.8 (Estimated · #46/181)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2-Codex | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 94.2% | Coming soon | Coming soon |
| 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: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- GPT-5.2-Codex public-lane score: 93.5 (#3/120)

### Mathematics

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- GPT-5.2-Codex public-lane score: Coming soon

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.2-Codex | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 43.8% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between Claude Opus 4.7 (Adaptive) and GPT-5.2-Codex?

Not yet. The models share only 1 sourced benchmark row, 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 Opus 4.7 (Adaptive) vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-claude-opus-4-7-adaptive)
- [GPT-5.2-Codex vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-gpt-5-2-codex)
- [Claude Opus 4.7 (Adaptive) vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-claude-opus-4-7-adaptive)
- [GPT-5.2-Codex vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-gpt-5-2-codex)

## Explore More

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