# GLM-5.2 vs Muse Glimmer 30B

> Side-by-side benchmark comparison for GLM-5.2 and Muse Glimmer 30B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-2-vs-muse-glimmer-30b
- Last updated: September 24, 2026

- Shared sourced benchmarks: 4
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Pick GLM-5.2 if you want the stronger benchmark profile. Muse Glimmer 30B only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GLM-5.2 leads overall 62.52 to 41.73.
- The clearest category separation is in agentic, where the averages are 55.6 for GLM-5.2 and 27.6 for Muse Glimmer 30B.
- The biggest single benchmark swing is Terminal-Bench 2.1 in Coding, with scores of 81.0% and 51.7%.
- Muse Glimmer 30B is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5.2 also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5.2 | Muse Glimmer 30B |
|----------|----------|----------|
| Creator | Z.AI | Meta |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 131K |
| Overall Score | 62.52 | 41.73 |
| Benchmarks Covered | 25 | 14 |
| Pricing (input/output) | $1.40 / $4.40 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GLM-5.2 public-lane score: 55.6 (Supported · #26/105)
- Muse Glimmer 30B public-lane score: 27.6 (Estimated · #72/105)

| Benchmark | GLM-5.2 | Muse Glimmer 30B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 4.6% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 81.0% | Coming soon | Coming soon |
| MCP Atlas | 76.8% | 75.5% | GLM-5.2 |
| Toolathlon | 48.2% | Coming soon | Coming soon |
| ResearchClawBench | 20.7% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 67.8% | Coming soon | Coming soon |
| DeepSearchQA | Coming soon | 74.6% | Coming soon |
| skillsBench | Coming soon | 44.3% | Coming soon |
| OSWorld-Verified | Coming soon | 65.9% | Coming soon |

### Coding

- Winner: Directional only
- GLM-5.2 public-lane score: 57.2 (Supported · #22/135)
- Muse Glimmer 30B public-lane score: 36.3 (Estimated · #69/135)

| Benchmark | GLM-5.2 | Muse Glimmer 30B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 62.1% | 51.2% | GLM-5.2 |
| NL2Repo | 48.9% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 81.0% | 51.7% | GLM-5.2 |
| ProgramBench | 63.7% | Coming soon | Coming soon |
| cursorBench32 | 55.0% | Coming soon | Coming soon |
| OpenHarmony Bench | 58.4% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 69.5% | Coming soon | Coming soon |
| SWE-bench (Vals) | 82.8% | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 76% | Coming soon |
| SciCode | Coming soon | 43.6% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5.2 public-lane score: 75.9 (Unranked · 2 rankable rows)
- Muse Glimmer 30B public-lane score: 79.3 (Unranked · 2 rankable rows)

| Benchmark | GLM-5.2 | Muse Glimmer 30B | Winner |
|-----------|-----------|-----------|--------|
| CritPt | 20.9% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Not comparable
- GLM-5.2 public-lane score: Coming soon
- Muse Glimmer 30B public-lane score: 46.3 (#42/50)

| Benchmark | GLM-5.2 | Muse Glimmer 30B | Winner |
|-----------|-----------|-----------|--------|
| CharXiv | Coming soon | 78.8% | Coming soon |
| ScreenSpot Pro | Coming soon | 75.4% | Coming soon |
| OmniDocBench 1.5 | Coming soon | 75.8% | Coming soon |
| MMMU-Pro | Coming soon | 74% | Coming soon |

### Knowledge

- Winner: Directional only
- GLM-5.2 public-lane score: 57.2 (Supported · #40/158)
- Muse Glimmer 30B public-lane score: 43.9 (Estimated · #75/158)

| Benchmark | GLM-5.2 | Muse Glimmer 30B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 91.2% | Coming soon | Coming soon |
| GPQA-D | 91.2% | Coming soon | Coming soon |
| HLE | 54.7% | Coming soon | Coming soon |
| HLE w/o tools | 40.5% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 85.6% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.7% | Coming soon | Coming soon |

### Instruction Following

- Winner: Directional only
- GLM-5.2 public-lane score: 88.5 (#23/124)
- Muse Glimmer 30B public-lane score: 77.7 (#55/124)

| Benchmark | GLM-5.2 | Muse Glimmer 30B | Winner |
|-----------|-----------|-----------|--------|
| IFBench | Coming soon | 77% | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-5.2 public-lane score: 80.7 (Unranked · 4 rankable rows)
- Muse Glimmer 30B public-lane score: 75.4 (Unranked · 1 rankable row)

| Benchmark | GLM-5.2 | Muse Glimmer 30B | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 99.2% | 94.7% | GLM-5.2 |
| HMMT Nov 2025 | 94.4% | Coming soon | Coming soon |
| HMMT Feb 2026 | 92.5% | Coming soon | Coming soon |
| MMAnswerBench | 91.0% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GLM-5.2 or Muse Glimmer 30B?

GLM-5.2 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5.2 and Muse Glimmer 30B?

The widest category gap is in agentic, where the averages are 55.6 for GLM-5.2 and 27.6 for Muse Glimmer 30B.

### How many benchmarks does GLM-5.2 cover on BenchLM?

GLM-5.2 currently has 25 sourced benchmark scores on BenchLM.

### How many benchmarks does Muse Glimmer 30B cover on BenchLM?

Muse Glimmer 30B currently has 14 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.2 vs GLM-5.3](/compare/glm-5-2-vs-glm-5-3)
- [Muse Glimmer 30B vs GLM-5.3](/compare/glm-5-3-vs-muse-glimmer-30b)
- [GLM-5.2 vs GLM-5.3-Flash](/compare/glm-5-2-vs-glm-5-3-flash)
- [Muse Glimmer 30B vs GLM-5.3-Flash](/compare/glm-5-3-flash-vs-muse-glimmer-30b)

## Explore More

- [GLM-5.2 profile](/models/glm-5-2)
- [Muse Glimmer 30B profile](/models/muse-glimmer-30b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)