# GLM-4.7 vs GLM-5

> Side-by-side benchmark comparison for GLM-4.7 and GLM-5 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-4-7-vs-glm-5
- Last updated: October 17, 2026

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

## Quick Verdict

Pick GLM-5 if you want the stronger benchmark profile. GLM-4.7 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 54.84 to 48.85.
- The clearest category separation is in agentic, where the averages are 31.6 for GLM-4.7 and 41.5 for GLM-5.
- The biggest single benchmark swing is Terminal-Bench 2.0 in Agentic, with scores of 41% and 56.2%.
- GLM-4.7 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.

## Model Snapshot

| Property | GLM-4.7 | GLM-5 |
|----------|----------|----------|
| Creator | Z.AI | Z.AI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | 200K | 200K |
| Overall Score | 48.85 | 54.84 |
| Benchmarks Covered | 17 | 38 |
| Pricing (input/output) | $0.00 / $0.00 | $1.00 / $3.20 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GLM-4.7 public-lane score: 31.6 (Estimated · #91/128)
- GLM-5 public-lane score: 41.5 (Estimated · #63/128)

| Benchmark | GLM-4.7 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 41% | 56.2% | GLM-5 |
| BrowseComp | 52% | 62% | GLM-5 |
| VITA-Bench | 15.5% | Coming soon | Coming soon |
| Gert Labs | 39.95% | 50.99% | GLM-5 |
| HLE w/ tools | Coming soon | 50.4% | Coming soon |
| Claw-Eval | Coming soon | 57.7% | Coming soon |
| QwenClawBench | Coming soon | 54.1% | Coming soon |
| τ³-bench results | Coming soon | 65.6% | Coming soon |
| DeepPlanning | Coming soon | 14.6% | Coming soon |
| Toolathlon | Coming soon | 38% | Coming soon |
| MCP Atlas | Coming soon | 31.1% | Coming soon |
| MCP-Tasks | Coming soon | 60.8% | Coming soon |
| WideResearch | Coming soon | 69.8% | Coming soon |
| CyberGym | Coming soon | 43.2% | Coming soon |

### Coding

- Winner: Directional only
- GLM-4.7 public-lane score: 37.2 (Supported · #72/150)
- GLM-5 public-lane score: 38 (Estimated · #70/150)

| Benchmark | GLM-4.7 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 73.8% | 77.8% | GLM-5 |
| LiveCodeBench v6 | 84.9% | Coming soon | Coming soon |
| SWE-Rebench | 58.7% | 62.8% | GLM-5 |
| Terminal-Bench 2.0 | 41.0% | 56.2% | GLM-5 |
| LiveCodeBench (Vals) | 82.2% | Coming soon | Coming soon |
| SWE-bench (Vals) | 69.4% | Coming soon | Coming soon |
| SWE-bench Verified* | Coming soon | 72.8% | Coming soon |
| SWE-bench Pro | Coming soon | 55.1% | Coming soon |
| SWE Multilingual | Coming soon | 73.3% | Coming soon |
| NL2Repo | Coming soon | 35.9% | Coming soon |
| React Native Evals | Coming soon | 74.8% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-4.7 public-lane score: 74.6 (Unranked · 2 rankable rows)
- GLM-5 public-lane score: 70.9 (Unranked · 4 rankable rows)

| Benchmark | GLM-4.7 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | Coming soon | 60.8% | Coming soon |
| AI-Needle | Coming soon | 63.3% | Coming soon |

### Knowledge

- Winner: Directional only
- GLM-4.7 public-lane score: 44.1 (Supported · #100/184)
- GLM-5 public-lane score: 50.4 (Estimated · #79/184)

| Benchmark | GLM-4.7 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 85.7% | 86% | GLM-5 |
| MMLU-Pro | 84.3% | 85.7% | GLM-5 |
| HLE | 24.8% | 30.5% | GLM-5 |
| GPQA Diamond (Vals) | 80.1% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 82.7% | Coming soon | Coming soon |
| GPQA-D | Coming soon | 86.0% | Coming soon |
| SuperGPQA | Coming soon | 66.8% | Coming soon |
| MMLU-Pro (Arcee) | Coming soon | 85.8% | Coming soon |

### Multilingual

- Winner: Not comparable
- GLM-4.7 public-lane score: Coming soon
- GLM-5 public-lane score: 89.5 (#6/17)

| Benchmark | GLM-4.7 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | Coming soon | 83.1% | Coming soon |
| NOVA-63 | Coming soon | 55.1% | Coming soon |

### Instruction Following

- Winner: Directional only
- GLM-4.7 public-lane score: 82.8 (#54/148)
- GLM-5 public-lane score: 88.6 (#35/148)

| Benchmark | GLM-4.7 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 92.6% | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-4.7 public-lane score: Coming soon
- GLM-5 public-lane score: 83 (Unranked · 6 rankable rows)

| Benchmark | GLM-4.7 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 95.7% | Coming soon | Coming soon |
| HMMT Feb 2025 | 97.1% | 97.5% | GLM-5 |
| AIME26 | Coming soon | 95.8% | Coming soon |
| AIME25 (Arcee) | Coming soon | 93.3% | Coming soon |
| HMMT Nov 2025 | Coming soon | 96.9% | Coming soon |
| HMMT Feb 2026 | Coming soon | 86.4% | Coming soon |
| MMAnswerBench | Coming soon | 82.5% | Coming soon |

## FAQ

### Which is better overall, GLM-4.7 or GLM-5?

GLM-5 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-4.7 and GLM-5?

The widest category gap is in agentic, where the averages are 31.6 for GLM-4.7 and 41.5 for GLM-5.

### How many benchmarks does GLM-4.7 cover on BenchLM?

GLM-4.7 currently has 17 sourced benchmark scores on BenchLM.

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

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

## Related Comparisons

- [GLM-4.7 vs GLM-5.3](/compare/glm-4-7-vs-glm-5-3)
- [GLM-5 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [GLM-4.7 vs GLM-5.2](/compare/glm-4-7-vs-glm-5-2)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)

## Explore More

- [GLM-4.7 profile](/models/glm-4-7)
- [GLM-5 profile](/models/glm-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
