# GLM-4.7 vs GPT-5.3 Codex

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

- Canonical page: https://benchlm.ai/compare/glm-4-7-vs-gpt-5-3-codex
- Last updated: October 17, 2026

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

## Quick Verdict

Pick GPT-5.3 Codex if you want the stronger benchmark profile. GLM-4.7 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GPT-5.3 Codex leads overall 60.48 to 48.85.
- The clearest category separation is in agentic, where the averages are 31.6 for GLM-4.7 and 55.5 for GPT-5.3 Codex.
- The biggest single benchmark swing is Terminal-Bench 2.0 in Agentic, with scores of 41% and 77.3%.
- GLM-4.7 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.3 Codex also has the larger context window at 400K.

## Model Snapshot

| Property | GLM-4.7 | GPT-5.3 Codex |
|----------|----------|----------|
| Creator | Z.AI | OpenAI |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 200K | 400K |
| Overall Score | 48.85 | 60.48 |
| Benchmarks Covered | 17 | 11 |
| Pricing (input/output) | $0.00 / $0.00 | $1.75 / $14.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GLM-4.7 public-lane score: 31.6 (Estimated · #91/128)
- GPT-5.3 Codex public-lane score: 55.5 (Estimated · #41/128)

| Benchmark | GLM-4.7 | GPT-5.3 Codex | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 41% | 77.3% | GPT-5.3 Codex |
| BrowseComp | 52% | Coming soon | Coming soon |
| VITA-Bench | 15.5% | Coming soon | Coming soon |
| Gert Labs | 39.95% | 57.47% | GPT-5.3 Codex |
| OSWorld-Verified | Coming soon | 64.7% | Coming soon |
| JobBench | Coming soon | 33.7% | Coming soon |

### Coding

- Winner: GPT-5.3 Codex
- GLM-4.7 public-lane score: 37.2 (Supported · #72/150)
- GPT-5.3 Codex public-lane score: 53.5 (Supported · #35/150)

| Benchmark | GLM-4.7 | GPT-5.3 Codex | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 73.8% | 85% | GPT-5.3 Codex |
| LiveCodeBench v6 | 84.9% | Coming soon | Coming soon |
| SWE-Rebench | 58.7% | 58.2% | GLM-4.7 |
| Terminal-Bench 2.0 | 41.0% | 77.3% | GPT-5.3 Codex |
| LiveCodeBench (Vals) | 82.2% | 87.3% | GPT-5.3 Codex |
| SWE-bench (Vals) | 69.4% | 78.0% | GPT-5.3 Codex |
| SWE-bench Pro | Coming soon | 56.8% | Coming soon |
| Vibe Code Bench | Coming soon | 61.77% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-4.7 public-lane score: 74.6 (Unranked · 2 rankable rows)
- GPT-5.3 Codex public-lane score: 83.1 (Unranked · 2 rankable rows)

### Multimodal & Grounded

- Winner: Not comparable
- GLM-4.7 public-lane score: Coming soon
- GPT-5.3 Codex public-lane score: 80.1 (Unranked · 1 rankable row)

### Knowledge

- Winner: Directional only
- GLM-4.7 public-lane score: 44.1 (Supported · #100/184)
- GPT-5.3 Codex public-lane score: 65.4 (Estimated · #33/184)

| Benchmark | GLM-4.7 | GPT-5.3 Codex | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 85.7% | Coming soon | Coming soon |
| MMLU-Pro | 84.3% | Coming soon | Coming soon |
| HLE | 24.8% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 80.1% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 82.7% | Coming soon | Coming soon |

### Instruction Following

- Winner: Directional only
- GLM-4.7 public-lane score: 82.8 (#54/148)
- GPT-5.3 Codex public-lane score: 92.6 (#18/148)

### Mathematics

- Winner: Not comparable
- GLM-4.7 public-lane score: Coming soon
- GPT-5.3 Codex public-lane score: Coming soon

| Benchmark | GLM-4.7 | GPT-5.3 Codex | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 95.7% | Coming soon | Coming soon |
| HMMT Feb 2025 | 97.1% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GLM-4.7 or GPT-5.3 Codex?

GPT-5.3 Codex is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-4.7 and GPT-5.3 Codex?

The widest category gap is in agentic, where the averages are 31.6 for GLM-4.7 and 55.5 for GPT-5.3 Codex.

### How many benchmarks does GLM-4.7 cover on BenchLM?

GLM-4.7 currently has 17 sourced benchmark scores on BenchLM.

### How many benchmarks does GPT-5.3 Codex cover on BenchLM?

GPT-5.3 Codex currently has 11 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-4.7 vs GPT-5.3-Codex-Spark](/compare/glm-4-7-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)
- [GLM-4.7 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-glm-4-7)
- [GPT-5.3 Codex vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-gpt-5-3-codex)

## Explore More

- [GLM-4.7 profile](/models/glm-4-7)
- [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)