# GLM-5.3-Flash vs Laguna M.1

> Side-by-side benchmark comparison for GLM-5.3-Flash and Laguna M.1 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-3-flash-vs-laguna-m-1
- Last updated: October 10, 2026

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

## Quick Verdict

GLM-5.3-Flash leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GLM-5.3-Flash has the higher overall point estimate 57.36 to 38. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in coding, where the averages are 49.3 for GLM-5.3-Flash and 26.3 for Laguna M.1.
- The biggest single benchmark swing is GPQA Diamond (Vals) in Knowledge, with scores of 86.4% and 27.0%.
- Laguna M.1 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5.3-Flash also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5.3-Flash | Laguna M.1 |
|----------|----------|----------|
| Creator | Z.AI | Poolside |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 256K |
| Overall Score | 57.36 | null |
| Benchmarks Covered | 21 | 10 |
| Pricing (input/output) | $0.00 / $0.00 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: 55.7 (Supported · #34/123)
- Laguna M.1 public-lane score: Coming soon

| Benchmark | GLM-5.3-Flash | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | Coming soon | Coming soon |
| Toolathlon-Verified | 78.4% | Coming soon | Coming soon |
| AutomationBench | 48.8% | Coming soon | Coming soon |
| Agents' Last Exam | 26.3% | Coming soon | Coming soon |
| HLE w/ tools | 55.3% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 62.9% | 34.1% | GLM-5.3-Flash |
| Terminal-Bench 2.0 | Coming soon | 45.8% | Coming soon |

### Coding

- Winner: GLM-5.3-Flash
- GLM-5.3-Flash public-lane score: 49.3 (Supported · #42/146)
- Laguna M.1 public-lane score: 26.3 (Supported · #100/146)

| Benchmark | GLM-5.3-Flash | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | Coming soon | Coming soon |
| DeepSWE | 63.4% | Coming soon | Coming soon |
| NL2Repo | 56.3% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 80.5% | 68.1% | GLM-5.3-Flash |
| SWE-bench (Vals) | 92.0% | 57.6% | GLM-5.3-Flash |
| OpenHarmony Bench | 57.3% | Coming soon | Coming soon |
| FrontierSWE v2 | 18.1% | Coming soon | Coming soon |
| Bug Hunt Bench | 17.7 fixes | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 74.6% | Coming soon |
| SWE Multilingual | Coming soon | 63.1% | Coming soon |
| SWE-bench Pro | Coming soon | 49.2% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 45.8% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: 81.1 (#11/28)
- Laguna M.1 public-lane score: Coming soon

### Multimodal & Grounded

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: 84 (#14/54)
- Laguna M.1 public-lane score: Coming soon

| Benchmark | GLM-5.3-Flash | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 62.4% | Coming soon | Coming soon |
| CharXiv | 89.4% | Coming soon | Coming soon |
| Chartography (tools) | 78.0% | Coming soon | Coming soon |
| BabyVision | 53.4% | Coming soon | Coming soon |
| MMVU | 80.5% | Coming soon | Coming soon |

### Knowledge

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: 60.5 (Supported · #43/177)
- Laguna M.1 public-lane score: Coming soon

| Benchmark | GLM-5.3-Flash | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 86.4% | 27.0% | GLM-5.3-Flash |
| MMLU-Pro (Vals) | 86.1% | 68.8% | GLM-5.3-Flash |

## FAQ

### Which is better overall, GLM-5.3-Flash or Laguna M.1?

GLM-5.3-Flash has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GLM-5.3-Flash and Laguna M.1?

The widest category gap is in coding, where the averages are 49.3 for GLM-5.3-Flash and 26.3 for Laguna M.1.

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

GLM-5.3-Flash currently has 21 sourced benchmark scores on BenchLM.

### How many benchmarks does Laguna M.1 cover on BenchLM?

Laguna M.1 currently has 10 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.3-Flash vs GLM-5.3](/compare/glm-5-3-vs-glm-5-3-flash)
- [Laguna M.1 vs GLM-5.3](/compare/glm-5-3-vs-laguna-m-1)
- [GLM-5.3-Flash vs GLM-5.2](/compare/glm-5-2-vs-glm-5-3-flash)
- [Laguna M.1 vs GLM-5.2](/compare/glm-5-2-vs-laguna-m-1)

## Explore More

- [GLM-5.3-Flash profile](/models/glm-5-3-flash)
- [Laguna M.1 profile](/models/laguna-m-1)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)