# GLM-5 vs Laguna M.1

> Side-by-side benchmark comparison for GLM-5 and Laguna M.1 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

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

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

## Quick Verdict

Pick GLM-5 if you want the stronger benchmark profile. Laguna M.1 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 61.45 to 3.93.
- The clearest category separation is in knowledge, where the averages are 54.1 for GLM-5 and 18.6 for Laguna M.1.
- The biggest single benchmark swing is Terminal-Bench 2.0 in Agentic, with scores of 56.2% and 45.8%.
- Laguna M.1 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Laguna M.1 also has the larger context window at 256K.

## Model Snapshot

| Property | GLM-5 | Laguna M.1 |
|----------|----------|----------|
| Creator | Z.AI | Poolside |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 200K | 256K |
| Overall Score | 61.45 | 3.93 |
| Benchmarks Covered | 36 | 10 |
| Pricing (input/output) | $1.00 / $3.20 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Coming soon
- GLM-5 public-lane score: 51 (Estimated · #45/152)
- Laguna M.1 public-lane score: 23.9 (Estimated · #147/152)

| Benchmark | GLM-5 | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 56.2% | 45.8% | GLM-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% | 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% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 34.1% | Coming soon |

### Coding

- Winner: Coming soon
- GLM-5 public-lane score: 56.1 (Estimated · #39/151)
- Laguna M.1 public-lane score: 29.7 (Supported · #140/151)

| Benchmark | GLM-5 | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 77.8% | 74.6% | GLM-5 |
| SWE-bench Verified* | 72.8% | Coming soon | Coming soon |
| SWE-bench Pro | 55.1% | 49.2% | GLM-5 |
| SWE Multilingual | 73.3% | 63.1% | GLM-5 |
| SWE-Rebench | 62.8% | Coming soon | Coming soon |
| React Native Evals | 74.8% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 45.8% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 68.1% | Coming soon |
| SWE-bench (Vals) | Coming soon | 57.6% | Coming soon |

### Reasoning

- Winner: Coming soon
- GLM-5 public-lane score: 52.1 (Unranked · 4 rankable rows)
- Laguna M.1 public-lane score: Coming soon

| Benchmark | GLM-5 | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.8% | Coming soon | Coming soon |
| AI-Needle | 63.3% | Coming soon | Coming soon |

### Knowledge

- Winner: Coming soon
- GLM-5 public-lane score: 54.1 (Estimated · #57/183)
- Laguna M.1 public-lane score: 18.6 (Estimated · #182/183)

| Benchmark | GLM-5 | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | Coming soon | Coming soon |
| 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 | 50.4% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 27.0% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 68.8% | Coming soon |

### Instruction Following

- Winner: Coming soon
- GLM-5 public-lane score: 88.5 (#31/123)
- Laguna M.1 public-lane score: Coming soon

| Benchmark | GLM-5 | Laguna M.1 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | Coming soon | Coming soon |

### Multilingual

- Winner: Coming soon
- GLM-5 public-lane score: 48.7 (#6/12)
- Laguna M.1 public-lane score: Coming soon

| Benchmark | GLM-5 | Laguna M.1 | 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)
- Laguna M.1 public-lane score: Coming soon

| Benchmark | GLM-5 | Laguna M.1 | 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% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 2.100% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GLM-5 or Laguna M.1?

GLM-5 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5 and Laguna M.1?

The widest category gap is in knowledge, where the averages are 54.1 for GLM-5 and 18.6 for Laguna M.1.

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

GLM-5 currently has 36 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 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [Laguna M.1 vs GLM-5.3](/compare/glm-5-3-vs-laguna-m-1)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [Laguna M.1 vs GLM-5.2](/compare/glm-5-2-vs-laguna-m-1)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [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)