# Claude Opus 4.7 (Adaptive) vs GPT-5.3 Codex

> Side-by-side benchmark comparison for Claude Opus 4.7 (Adaptive) and GPT-5.3 Codex across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/claude-opus-4-7-adaptive-vs-gpt-5-3-codex
- Last updated: September 29, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. GPT-5.3 Codex 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 61.81.
- The clearest category separation is in multimodal & grounded, where the averages are 50.1 for Claude Opus 4.7 (Adaptive) and 76.7 for GPT-5.3 Codex.
- The biggest single benchmark swing is OSWorld-Verified in Agentic, with scores of 78% and 64.7%.
- GPT-5.3 Codex 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-5.3 Codex |
|----------|----------|----------|
| Creator | Anthropic | OpenAI |
| Type | Proprietary | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 400K |
| Overall Score | 68.46 | 61.81 |
| Benchmarks Covered | 21 | 10 |
| Pricing (input/output) | $5.00 / $25.00 | $1.75 / $14.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- Claude Opus 4.7 (Adaptive) public-lane score: 59.1 (Supported · #22/117)
- GPT-5.3 Codex public-lane score: 54.1 (Estimated · #34/117)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.3 Codex | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 69.4% | 77.3% | GPT-5.3 Codex |
| BrowseComp | 79.3% | Coming soon | Coming soon |
| MCP Atlas | 77.3% | Coming soon | Coming soon |
| OSWorld-Verified | 78% | 64.7% | Claude Opus 4.7 (Adaptive) |
| CyberGym | 73.1% | Coming soon | Coming soon |
| OSWorld 2.0 | 18.2% | Coming soon | Coming soon |
| JobBench | 45.9% | 33.7% | Claude Opus 4.7 (Adaptive) |
| Gert Labs | Coming soon | 57.47% | Coming soon |

### Coding

- Winner: Directional only
- Claude Opus 4.7 (Adaptive) public-lane score: 57.9 (Estimated · #24/143)
- GPT-5.3 Codex public-lane score: 55.5 (Supported · #29/143)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.3 Codex | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 87.6% | 85% | Claude Opus 4.7 (Adaptive) |
| SWE-bench Pro | 64.3% | 56.8% | Claude Opus 4.7 (Adaptive) |
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| SWE-Rebench | Coming soon | 58.2% | Coming soon |
| Vibe Code Bench | Coming soon | 61.77% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 87.3% | Coming soon |
| SWE-bench (Vals) | Coming soon | 78.0% | Coming soon |

### Reasoning

- Winner: Not comparable
- Claude Opus 4.7 (Adaptive) public-lane score: 53.6 (Unranked · 3 rankable rows)
- GPT-5.3 Codex public-lane score: 79.6 (Unranked · 2 rankable rows)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.3 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 |

### Multimodal & Grounded

- Winner: Not comparable
- Claude Opus 4.7 (Adaptive) public-lane score: 50.1 (#39/50)
- GPT-5.3 Codex public-lane score: 76.7 (Unranked · 1 rankable row)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.3 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 |

### Knowledge

- Winner: Directional only
- Claude Opus 4.7 (Adaptive) public-lane score: 63.9 (Estimated · #29/169)
- GPT-5.3 Codex public-lane score: 63.8 (Estimated · #31/169)

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.3 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: Not comparable
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- GPT-5.3 Codex public-lane score: 91.2 (#14/124)

### Mathematics

- Winner: Not comparable
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- GPT-5.3 Codex public-lane score: Coming soon

| Benchmark | Claude Opus 4.7 (Adaptive) | GPT-5.3 Codex | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 43.8% | Coming soon | Coming soon |

## FAQ

### Which is better overall, Claude Opus 4.7 (Adaptive) or GPT-5.3 Codex?

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-5.3 Codex?

The widest category gap is in multimodal & grounded, where the averages are 50.1 for Claude Opus 4.7 (Adaptive) and 76.7 for GPT-5.3 Codex.

### 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-5.3 Codex cover on BenchLM?

GPT-5.3 Codex currently has 10 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-5.3 Codex vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-gpt-5-3-codex)
- [Claude Opus 4.7 (Adaptive) vs GPT-5.3-Codex-Spark](/compare/claude-opus-4-7-adaptive-vs-gpt-5-3-codex-spark)
- [GPT-5.3 Codex vs GPT-5.3-Codex-Spark](/compare/gpt-5-3-codex-vs-gpt-5-3-codex-spark)

## Explore More

- [Claude Opus 4.7 (Adaptive) profile](/models/claude-opus-4-7-adaptive)
- [GPT-5.3 Codex profile](/models/gpt-5-3-codex)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)