# GLM-5 vs GPT-OSS 120B

> Side-by-side benchmark comparison for GLM-5 and GPT-OSS 120B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-vs-gpt-oss-120b
- Last updated: October 17, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Pick GLM-5 if you want the stronger benchmark profile. GPT-OSS 120B only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GLM-5 leads overall 54.84 to 37.32.
- The clearest category separation is in agentic, where the averages are 41.5 for GLM-5 and 19.5 for GPT-OSS 120B.
- The biggest single benchmark swing is Gert Labs in Agentic, with scores of 50.99% and 29.61%.
- GPT-OSS 120B is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5 also has the larger context window at 200K.

## Model Snapshot

| Property | GLM-5 | GPT-OSS 120B |
|----------|----------|----------|
| Creator | Z.AI | OpenAI |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 200K | 128K |
| Overall Score | 54.84 | 37.32 |
| Benchmarks Covered | 38 | 8 |
| Pricing (input/output) | $1.00 / $3.20 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GLM-5 public-lane score: 41.5 (Estimated · #63/128)
- GPT-OSS 120B public-lane score: 19.5 (Estimated · #110/128)

| Benchmark | GLM-5 | GPT-OSS 120B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 56.2% | Coming soon | Coming soon |
| BrowseComp | 62% | Coming soon | Coming soon |
| HLE w/ tools | 50.4% | Coming soon | Coming soon |
| Claw-Eval | 57.7% | Coming soon | Coming soon |
| QwenClawBench | 54.1% | Coming soon | Coming soon |
| τ³-bench results | 65.6% | Coming soon | Coming soon |
| DeepPlanning | 14.6% | Coming soon | Coming soon |
| Toolathlon | 38% | Coming soon | Coming soon |
| MCP Atlas | 31.1% | Coming soon | Coming soon |
| MCP-Tasks | 60.8% | Coming soon | Coming soon |
| WideResearch | 69.8% | Coming soon | Coming soon |
| CyberGym | 43.2% | Coming soon | Coming soon |
| Gert Labs | 50.99% | 29.61% | GLM-5 |

### Coding

- Winner: Directional only
- GLM-5 public-lane score: 38 (Estimated · #70/150)
- GPT-OSS 120B public-lane score: 23 (Estimated · #111/150)

| Benchmark | GLM-5 | GPT-OSS 120B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 77.8% | 62.4% | GLM-5 |
| SWE-bench Verified* | 72.8% | Coming soon | Coming soon |
| SWE-bench Pro | 55.1% | Coming soon | Coming soon |
| SWE Multilingual | 73.3% | Coming soon | Coming soon |
| NL2Repo | 35.9% | Coming soon | Coming soon |
| SWE-Rebench | 62.8% | Coming soon | Coming soon |
| React Native Evals | 74.8% | 71.6% | GLM-5 |
| Terminal-Bench 2.0 | 56.2% | Coming soon | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5 public-lane score: 70.9 (Unranked · 4 rankable rows)
- GPT-OSS 120B public-lane score: 61.6 (Unranked · 2 rankable rows)

| Benchmark | GLM-5 | GPT-OSS 120B | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.8% | Coming soon | Coming soon |
| AI-Needle | 63.3% | Coming soon | Coming soon |

### Knowledge

- Winner: Directional only
- GLM-5 public-lane score: 50.4 (Estimated · #79/184)
- GPT-OSS 120B public-lane score: 38.6 (Supported · #122/184)

| Benchmark | GLM-5 | GPT-OSS 120B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | 80.1% | GLM-5 |
| GPQA-D | 86.0% | Coming soon | Coming soon |
| SuperGPQA | 66.8% | Coming soon | Coming soon |
| MMLU-Pro | 85.7% | Coming soon | Coming soon |
| MMLU-Pro (Arcee) | 85.8% | Coming soon | Coming soon |
| HLE | 30.5% | 14.9% | GLM-5 |
| MMLU | Coming soon | 90% | Coming soon |

### Multilingual

- Winner: Not comparable
- GLM-5 public-lane score: 89.5 (#6/17)
- GPT-OSS 120B public-lane score: Coming soon

| Benchmark | GLM-5 | GPT-OSS 120B | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | 83.1% | Coming soon | Coming soon |
| NOVA-63 | 55.1% | Coming soon | Coming soon |

### Instruction Following

- Winner: Directional only
- GLM-5 public-lane score: 88.6 (#35/148)
- GPT-OSS 120B public-lane score: 84.3 (#50/148)

| Benchmark | GLM-5 | GPT-OSS 120B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | Coming soon | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-5 public-lane score: 83 (Unranked · 6 rankable rows)
- GPT-OSS 120B public-lane score: Coming soon

| Benchmark | GLM-5 | GPT-OSS 120B | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 95.8% | Coming soon | Coming soon |
| AIME25 (Arcee) | 93.3% | Coming soon | Coming soon |
| HMMT Feb 2025 | 97.5% | Coming soon | Coming soon |
| HMMT Nov 2025 | 96.9% | Coming soon | Coming soon |
| HMMT Feb 2026 | 86.4% | Coming soon | Coming soon |
| MMAnswerBench | 82.5% | Coming soon | Coming soon |
| AIME 2024 | Coming soon | 95.8% | Coming soon |
| AIME 2025 | Coming soon | 92.5% | Coming soon |

## FAQ

### Which is better overall, GLM-5 or GPT-OSS 120B?

GLM-5 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5 and GPT-OSS 120B?

The widest category gap is in agentic, where the averages are 41.5 for GLM-5 and 19.5 for GPT-OSS 120B.

### How many benchmarks does GLM-5 cover on BenchLM?

GLM-5 currently has 38 sourced benchmark scores on BenchLM.

### How many benchmarks does GPT-OSS 120B cover on BenchLM?

GPT-OSS 120B currently has 8 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [GPT-OSS 120B vs GLM-5.3](/compare/glm-5-3-vs-gpt-oss-120b)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [GPT-OSS 120B vs GLM-5.2](/compare/glm-5-2-vs-gpt-oss-120b)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [GPT-OSS 120B profile](/models/gpt-oss-120b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)