# GLM-5 vs Beam 1.0 501B-A23B NVFP4

> Side-by-side benchmark comparison for GLM-5 and Beam 1.0 501B-A23B NVFP4 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-vs-reflection-beam-nvfp4
- Last updated: October 16, 2026

- Shared sourced benchmarks: 10
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Pick Beam 1.0 501B-A23B NVFP4 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

- Beam 1.0 501B-A23B NVFP4 leads overall 70 to 54.83.
- The clearest category separation is in reasoning, where the averages are 70.9 for GLM-5 and 85.5 for Beam 1.0 501B-A23B NVFP4.
- The biggest single benchmark swing is MCP Atlas in Agentic, with scores of 31.1% and 80.5%.
- Beam 1.0 501B-A23B NVFP4 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Beam 1.0 501B-A23B NVFP4 also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5 | Beam 1.0 501B-A23B NVFP4 |
|----------|----------|----------|
| Creator | Z.AI | Reflection AI |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 200K | 1M |
| Overall Score | 54.83 | null |
| Benchmarks Covered | 38 | 19 |
| Pricing (input/output) | $1.00 / $3.20 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Not comparable
- GLM-5 public-lane score: 41.5 (Estimated · #63/128)
- Beam 1.0 501B-A23B NVFP4 public-lane score: Coming soon

| Benchmark | GLM-5 | Beam 1.0 501B-A23B NVFP4 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 56.2% | Coming soon | Coming soon |
| BrowseComp | 62% | 75.6% | Beam 1.0 501B-A23B NVFP4 |
| HLE w/ tools | 50.4% | 51.1% | Beam 1.0 501B-A23B NVFP4 |
| Claw-Eval | 57.7% | Coming soon | Coming soon |
| QwenClawBench | 54.1% | Coming soon | Coming soon |
| τ³-bench results | 65.6% | 35.4% | GLM-5 |
| DeepPlanning | 14.6% | Coming soon | Coming soon |
| Toolathlon | 38% | Coming soon | Coming soon |
| MCP Atlas | 31.1% | 80.5% | Beam 1.0 501B-A23B NVFP4 |
| 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 | Coming soon | 78.4% | Coming soon |
| DeepSearchQA | Coming soon | 81.1% | Coming soon |

### Coding

- Winner: Not comparable
- GLM-5 public-lane score: 38 (Estimated · #70/150)
- Beam 1.0 501B-A23B NVFP4 public-lane score: Coming soon

| Benchmark | GLM-5 | Beam 1.0 501B-A23B NVFP4 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 77.8% | 80.7% | Beam 1.0 501B-A23B NVFP4 |
| SWE-bench Verified* | 72.8% | Coming soon | Coming soon |
| SWE-bench Pro | 55.1% | 65.6% | Beam 1.0 501B-A23B NVFP4 |
| SWE Multilingual | 73.3% | 77.5% | Beam 1.0 501B-A23B NVFP4 |
| NL2Repo | 35.9% | Coming soon | Coming soon |
| SWE-Rebench | 62.8% | Coming soon | Coming soon |
| React Native Evals | 74.8% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 56.2% | Coming soon | Coming soon |
| DeepSWE | Coming soon | 42.7% | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 78.4% | Coming soon |
| SWE-Atlas Codebase QnA | Coming soon | 31.4% | Coming soon |
| SciCode | Coming soon | 46.9% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5 public-lane score: 70.9 (Unranked · 4 rankable rows)
- Beam 1.0 501B-A23B NVFP4 public-lane score: 85.5 (Unranked · 3 rankable rows)

| Benchmark | GLM-5 | Beam 1.0 501B-A23B NVFP4 | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.8% | 67.2% | Beam 1.0 501B-A23B NVFP4 |
| AI-Needle | 63.3% | Coming soon | Coming soon |
| CritPt | Coming soon | 15.4% | Coming soon |

### Knowledge

- Winner: Not comparable
- GLM-5 public-lane score: 50.3 (Estimated · #79/184)
- Beam 1.0 501B-A23B NVFP4 public-lane score: Coming soon

| Benchmark | GLM-5 | Beam 1.0 501B-A23B NVFP4 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | Coming soon | Coming soon |
| GPQA-D | 86.0% | 89.3% | Beam 1.0 501B-A23B NVFP4 |
| 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% | Coming soon | Coming soon |
| HLE w/o tools | Coming soon | 34.8% | Coming soon |

### Multilingual

- Winner: Not comparable
- GLM-5 public-lane score: 89.5 (#6/17)
- Beam 1.0 501B-A23B NVFP4 public-lane score: Coming soon

| Benchmark | GLM-5 | Beam 1.0 501B-A23B NVFP4 | 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)
- Beam 1.0 501B-A23B NVFP4 public-lane score: 86.2 (#44/148)

| Benchmark | GLM-5 | Beam 1.0 501B-A23B NVFP4 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | Coming soon | Coming soon |
| IFBench | Coming soon | 79.2% | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-5 public-lane score: 83 (Unranked · 6 rankable rows)
- Beam 1.0 501B-A23B NVFP4 public-lane score: 87.9 (Unranked · 1 rankable row)

| Benchmark | GLM-5 | Beam 1.0 501B-A23B NVFP4 | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 95.8% | 97.5% | Beam 1.0 501B-A23B NVFP4 |
| 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 |

## FAQ

### Which is better overall, GLM-5 or Beam 1.0 501B-A23B NVFP4?

Beam 1.0 501B-A23B NVFP4 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5 and Beam 1.0 501B-A23B NVFP4?

The widest category gap is in reasoning, where the averages are 70.9 for GLM-5 and 85.5 for Beam 1.0 501B-A23B NVFP4.

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

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

### How many benchmarks does Beam 1.0 501B-A23B NVFP4 cover on BenchLM?

Beam 1.0 501B-A23B NVFP4 currently has 19 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [Beam 1.0 501B-A23B NVFP4 vs GLM-5.3](/compare/glm-5-3-vs-reflection-beam-nvfp4)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [Beam 1.0 501B-A23B NVFP4 vs GLM-5.2](/compare/glm-5-2-vs-reflection-beam-nvfp4)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [Beam 1.0 501B-A23B NVFP4 profile](/models/reflection-beam-nvfp4)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)