# GLM-5.3 vs GPT-5.4 nano

> Side-by-side benchmark comparison for GLM-5.3 and GPT-5.4 nano across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-3-vs-gpt-5-4-nano
- Last updated: September 28, 2026

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

## Quick Verdict

Pick GLM-5.3 if you want the stronger benchmark profile. GPT-5.4 nano only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GLM-5.3 leads overall 65.44 to 50.8.
- The clearest category separation is in reasoning, where the averages are 77.1 for GLM-5.3 and 37 for GPT-5.4 nano.
- The biggest single benchmark swing is Terminal-Bench 2.1 (Vals) in Agentic, with scores of 71.5% and 41.6%.
- GLM-5.3 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5.3 also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5.3 | GPT-5.4 nano |
|----------|----------|----------|
| Creator | Z.AI | OpenAI |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 400K |
| Overall Score | 65.44 | 50.8 |
| Benchmarks Covered | 24 | 20 |
| Pricing (input/output) | $0.00 / $0.00 | $0.20 / $1.25 |

## Category Breakdown

### Agentic

- Winner: GLM-5.3
- GLM-5.3 public-lane score: 67.4 (Supported · #9/117)
- GPT-5.4 nano public-lane score: 31.8 (Supported · #75/117)

| Benchmark | GLM-5.3 | GPT-5.4 nano | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 88.2% | Coming soon | Coming soon |
| terminalBench3 | 28.3% | Coming soon | Coming soon |
| CyberGym | 84.5% | Coming soon | Coming soon |
| ExploitGym | 15.0% | Coming soon | Coming soon |
| Toolathlon-Verified | 73.0% | Coming soon | Coming soon |
| AutomationBench | 48.2% | Coming soon | Coming soon |
| Agents' Last Exam | 28.5% | Coming soon | Coming soon |
| HLE w/ tools | 62.5% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 71.5% | 41.6% | GLM-5.3 |
| Terminal-Bench 2.0 | Coming soon | 46.3% | Coming soon |
| OSWorld-Verified | Coming soon | 39% | Coming soon |
| MCP Atlas | Coming soon | 56.1% | Coming soon |
| Toolathlon | Coming soon | 35.5% | Coming soon |
| τ²-bench results | Coming soon | 92.5% | Coming soon |

### Coding

- Winner: GLM-5.3
- GLM-5.3 public-lane score: 56.8 (Supported · #24/142)
- GPT-5.4 nano public-lane score: 31.2 (Supported · #90/142)

| Benchmark | GLM-5.3 | GPT-5.4 nano | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 88.2% | Coming soon | Coming soon |
| terminalBench3 | 28.3% | Coming soon | Coming soon |
| DeepSWE | 66.9% | Coming soon | Coming soon |
| NL2Repo | 58% | Coming soon | Coming soon |
| ProgramBench | 19.0% | Coming soon | Coming soon |
| FrontierSWE | 78.1% | Coming soon | Coming soon |
| sweMarathon | 42.5% | Coming soon | Coming soon |
| PostTrain Bench | 39.8% | Coming soon | Coming soon |
| VulcanBench v3 | 78.3% | Coming soon | Coming soon |
| OpenHarmony Bench | 60.8% | Coming soon | Coming soon |
| FrontierSWE v2 | 30.2% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 80.5% | 84.0% | GPT-5.4 nano |
| SWE-bench (Vals) | 95.4% | 69.8% | GLM-5.3 |
| Vibe Code Bench | Coming soon | 26.10% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5.3 public-lane score: 77.1 (#11/27)
- GPT-5.4 nano public-lane score: 37 (Unranked · 4 rankable rows)

| Benchmark | GLM-5.3 | GPT-5.4 nano | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-1 | Coming soon | 51.50% | Coming soon |
| ARC-AGI-2 | Coming soon | 5.7% | Coming soon |

### Multimodal & Grounded

- Winner: Not comparable
- GLM-5.3 public-lane score: Coming soon
- GPT-5.4 nano public-lane score: 24.9 (#47/50)

| Benchmark | GLM-5.3 | GPT-5.4 nano | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | Coming soon | 66.1% | Coming soon |
| MMMU-Pro w/ Python | Coming soon | 69.5% | Coming soon |

### Knowledge

- Winner: GLM-5.3
- GLM-5.3 public-lane score: 61.9 (Supported · #35/168)
- GPT-5.4 nano public-lane score: 37.8 (Supported · #104/168)

| Benchmark | GLM-5.3 | GPT-5.4 nano | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 88.1% | 77.5% | GLM-5.3 |
| MMLU-Pro (Vals) | 86.8% | 77.2% | GLM-5.3 |
| GPQA | Coming soon | 82.8% | Coming soon |
| HLE | Coming soon | 37.7% | Coming soon |
| HLE w/o tools | Coming soon | 24.3% | Coming soon |

### Instruction Following

- Winner: Not comparable
- GLM-5.3 public-lane score: Coming soon
- GPT-5.4 nano public-lane score: 91.9 (#9/124)

### Mathematics

- Winner: Not comparable
- GLM-5.3 public-lane score: Coming soon
- GPT-5.4 nano public-lane score: 43.8 (Unranked · 2 rankable rows)

| Benchmark | GLM-5.3 | GPT-5.4 nano | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | Coming soon | 25.860% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 6.250% | Coming soon |

## FAQ

### Which is better overall, GLM-5.3 or GPT-5.4 nano?

GLM-5.3 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5.3 and GPT-5.4 nano?

The widest category gap is in reasoning, where the averages are 77.1 for GLM-5.3 and 37 for GPT-5.4 nano.

### How many benchmarks does GLM-5.3 cover on BenchLM?

GLM-5.3 currently has 24 sourced benchmark scores on BenchLM.

### How many benchmarks does GPT-5.4 nano cover on BenchLM?

GPT-5.4 nano currently has 20 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.3 vs GLM-5.2](/compare/glm-5-2-vs-glm-5-3)
- [GPT-5.4 nano vs GLM-5.2](/compare/glm-5-2-vs-gpt-5-4-nano)
- [GLM-5.3 vs GLM-5.3-Flash](/compare/glm-5-3-vs-glm-5-3-flash)
- [GPT-5.4 nano vs GLM-5.3-Flash](/compare/glm-5-3-flash-vs-gpt-5-4-nano)

## Explore More

- [GLM-5.3 profile](/models/glm-5-3)
- [GPT-5.4 nano profile](/models/gpt-5-4-nano)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)