# GLM-5 vs GPT-5.5

> Side-by-side benchmark comparison for GLM-5 and GPT-5.5 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

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

- Shared sourced benchmarks: 12
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick GPT-5.5 if you want the stronger benchmark profile. GLM-5 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GPT-5.5 leads overall 73.27 to 62.16.
- The clearest category separation is in coding, where the averages are 49.1 for GLM-5 and 67.7 for GPT-5.5.
- The biggest single benchmark swing is MCP Atlas in Agentic, with scores of 31.1% and 75.3%.
- GLM-5 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.5 also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5 | GPT-5.5 |
|----------|----------|----------|
| Creator | Z.AI | OpenAI |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 200K | 1M |
| Overall Score | 62.16 | 73.27 |
| Benchmarks Covered | 36 | 38 |
| Pricing (input/output) | $1.00 / $3.20 | $5.00 / $30.00 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- GLM-5 public-lane score: 50 (Estimated · #65/151)
- GPT-5.5 public-lane score: 63.9 (Supported · #15/151)

| Benchmark | GLM-5 | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 56.2% | 82% | GPT-5.5 |
| 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% | 55.6% | GPT-5.5 |
| MCP Atlas | 31.1% | 75.3% | GPT-5.5 |
| MCP-Tasks | 60.8% | Coming soon | Coming soon |
| WideResearch | 69.8% | Coming soon | Coming soon |
| CyberGym | 43.2% | 81.8% | GPT-5.5 |
| Gert Labs | 50.99% | 72.93% | GPT-5.5 |
| BrowseComp | Coming soon | 84.4% | Coming soon |
| OSWorld-Verified | Coming soon | 78.7% | Coming soon |
| τ²-bench results | Coming soon | 98% | Coming soon |
| ResearchClawBench | Coming soon | 17.0% | Coming soon |
| OSWorld 2.0 | Coming soon | 13.0% | Coming soon |
| JobBench | Coming soon | 42.7% | Coming soon |
| ExploitGym | Coming soon | 13.4% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 76.4% | Coming soon |

### Coding

- Winner: GPT-5.5
- GLM-5 public-lane score: 49.1 (Supported · #80/183)
- GPT-5.5 public-lane score: 67.7 (Supported · #8/183)

| Benchmark | GLM-5 | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 77.8% | Coming soon | Coming soon |
| SWE-bench Verified* | 72.8% | Coming soon | Coming soon |
| SWE-bench Pro | 55.1% | 58.6% | GPT-5.5 |
| SWE Multilingual | 73.3% | Coming soon | Coming soon |
| SWE-Rebench | 62.8% | Coming soon | Coming soon |
| React Native Evals | 74.8% | 84.7% | GPT-5.5 |
| Terminal-Bench 2.0 | Coming soon | 82.0% | Coming soon |
| Vibe Code Bench | Coming soon | 69.85% | Coming soon |
| cursorBench31 | Coming soon | 59.2% | Coming soon |
| cursorBench32 | Coming soon | 58.4% | Coming soon |
| FrontierCode 1.1 Main | Coming soon | 43.0% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 85.3% | Coming soon |
| SWE-bench (Vals) | Coming soon | 82.6% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- GLM-5 public-lane score: Coming soon
- GPT-5.5 public-lane score: 71.3 (#19/48)

| Benchmark | GLM-5 | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | Coming soon | 81.2% | Coming soon |
| MMMU-Pro w/ Python | Coming soon | 83.2% | Coming soon |
| OfficeQA Pro | Coming soon | 54.1% | Coming soon |

### Reasoning

- Winner: Coming soon
- GLM-5 public-lane score: 51.6 (Unranked · 4 rankable rows)
- GPT-5.5 public-lane score: 63.5 (#15/22)

| Benchmark | GLM-5 | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.8% | Coming soon | Coming soon |
| AI-Needle | 63.3% | Coming soon | Coming soon |
| MRCR v2 64K-128K | Coming soon | 83.1% | Coming soon |
| MRCR v2 128K-256K | Coming soon | 87.5% | Coming soon |
| ARC-AGI-2 | Coming soon | 85% | Coming soon |
| ARC-AGI-3 | Coming soon | 0.4% | Coming soon |

### Knowledge

- Winner: Coming soon
- GLM-5 public-lane score: 54.9 (Estimated · #62/181)
- GPT-5.5 public-lane score: 73.3 (Supported · #7/181)

| Benchmark | GLM-5 | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | 93.6% | GPT-5.5 |
| GPQA-D | 86.0% | 93.6% | GPT-5.5 |
| 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 | 50.4% | 52.2% | GPT-5.5 |
| HLE w/o tools | Coming soon | 41.4% | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 93.2% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 88.1% | Coming soon |

### Instruction Following

- Winner: Coming soon
- GLM-5 public-lane score: 88.3 (#31/120)
- GPT-5.5 public-lane score: 92.9 (#7/120)

| Benchmark | GLM-5 | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | Coming soon | Coming soon |

### Multilingual

- Winner: Coming soon
- GLM-5 public-lane score: 48.7 (#6/12)
- GPT-5.5 public-lane score: Coming soon

| Benchmark | GLM-5 | GPT-5.5 | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | 83.1% | Coming soon | Coming soon |
| NOVA-63 | 55.1% | Coming soon | Coming soon |

### Mathematics

- Winner: Coming soon
- GLM-5 public-lane score: 56.9 (#7/7)
- GPT-5.5 public-lane score: 69.6 (Unranked · 3 rankable rows)

| Benchmark | GLM-5 | GPT-5.5 | 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 |
| FrontierMath v2 (Tiers 1-3) | 16.434% | 51.700% | GPT-5.5 |
| FrontierMath v2 (Tier 4) | 2.100% | 35.400% | GPT-5.5 |
| FrontierMath (legacy) | Coming soon | 51.7% | Coming soon |

## FAQ

### Which is better overall, GLM-5 or GPT-5.5?

GPT-5.5 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5 and GPT-5.5?

The widest category gap is in coding, where the averages are 49.1 for GLM-5 and 67.7 for GPT-5.5.

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

GLM-5 currently has 36 sourced benchmark scores on BenchLM.

### How many benchmarks does GPT-5.5 cover on BenchLM?

GPT-5.5 currently has 38 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [GPT-5.5 vs GLM-5.3](/compare/glm-5-3-vs-gpt-5-5)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [GPT-5.5 vs GLM-5.2](/compare/glm-5-2-vs-gpt-5-5)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [GPT-5.5 profile](/models/gpt-5-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)