# GLM-5.3 vs MiniMax M2.7

> Side-by-side benchmark comparison for GLM-5.3 and MiniMax M2.7 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-3-vs-minimax-m2-7
- Last updated: September 28, 2026

- Shared sourced benchmarks: 6
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Pick GLM-5.3 if you want the stronger benchmark profile. MiniMax M2.7 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GLM-5.3 leads overall 65.44 to 48.03.
- The clearest category separation is in agentic, where the averages are 67.4 for GLM-5.3 and 29 for MiniMax M2.7.
- The biggest single benchmark swing is Terminal-Bench 2.1 (Vals) in Agentic, with scores of 71.5% and 48.7%.
- GLM-5.3 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5.3 also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5.3 | MiniMax M2.7 |
|----------|----------|----------|
| Creator | Z.AI | MiniMax |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | 1M | 200K |
| Overall Score | 65.44 | 48.03 |
| Benchmarks Covered | 24 | 23 |
| Pricing (input/output) | $0.00 / $0.00 | $0.30 / $1.20 |

## Category Breakdown

### Agentic

- Winner: GLM-5.3
- GLM-5.3 public-lane score: 67.4 (Supported · #9/117)
- MiniMax M2.7 public-lane score: 29 (Supported · #82/117)

| Benchmark | GLM-5.3 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 88.2% | Coming soon | Coming soon |
| terminalBench3 | 28.3% | Coming soon | Coming soon |
| CyberGym | 84.5% | Coming soon | Coming soon |
| ExploitGym | 15.0% | Coming soon | Coming soon |
| Toolathlon-Verified | 73.0% | Coming soon | Coming soon |
| AutomationBench | 48.2% | Coming soon | Coming soon |
| Agents' Last Exam | 28.5% | Coming soon | Coming soon |
| HLE w/ tools | 62.5% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 71.5% | 48.7% | GLM-5.3 |
| Terminal-Bench 2.0 | Coming soon | 57% | Coming soon |
| Toolathlon | Coming soon | 46.3% | Coming soon |
| MLE-Bench Lite | Coming soon | 66.6% | Coming soon |
| MM-ClawBench | Coming soon | 62.7% | Coming soon |
| Claw-Eval | Coming soon | 48.7% | Coming soon |
| Gert Labs | Coming soon | 40.40% | Coming soon |

### Coding

- Winner: GLM-5.3
- GLM-5.3 public-lane score: 56.8 (Supported · #24/142)
- MiniMax M2.7 public-lane score: 35.9 (Supported · #76/142)

| Benchmark | GLM-5.3 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 88.2% | Coming soon | Coming soon |
| terminalBench3 | 28.3% | Coming soon | Coming soon |
| DeepSWE | 66.9% | Coming soon | Coming soon |
| NL2Repo | 58% | 39.8% | GLM-5.3 |
| ProgramBench | 19.0% | Coming soon | Coming soon |
| FrontierSWE | 78.1% | Coming soon | Coming soon |
| sweMarathon | 42.5% | Coming soon | Coming soon |
| PostTrain Bench | 39.8% | Coming soon | Coming soon |
| VulcanBench v3 | 78.3% | Coming soon | Coming soon |
| OpenHarmony Bench | 60.8% | Coming soon | Coming soon |
| FrontierSWE v2 | 30.2% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 80.5% | 79.9% | GLM-5.3 |
| SWE-bench (Vals) | 95.4% | 73.8% | GLM-5.3 |
| SWE-bench Verified* | Coming soon | 75.4% | Coming soon |
| SWE-bench Pro | Coming soon | 56.2% | Coming soon |
| SWE-Rebench | Coming soon | 51.9% | Coming soon |
| SWE Multilingual | Coming soon | 76.5% | Coming soon |
| Multi-SWE Bench | Coming soon | 52.7% | Coming soon |
| VIBE-Pro | Coming soon | 55.6% | Coming soon |
| Vibe Code Bench | Coming soon | 27.04% | Coming soon |
| React Native Evals | Coming soon | 71.4% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5.3 public-lane score: 77.1 (#11/27)
- MiniMax M2.7 public-lane score: 76.1 (Unranked · 2 rankable rows)

### Knowledge

- Winner: GLM-5.3
- GLM-5.3 public-lane score: 61.9 (Supported · #35/168)
- MiniMax M2.7 public-lane score: 43.1 (Supported · #86/168)

| Benchmark | GLM-5.3 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 88.1% | 86.6% | GLM-5.3 |
| MMLU-Pro (Vals) | 86.8% | 80.4% | GLM-5.3 |
| GPQA-D | Coming soon | 87.0% | Coming soon |
| MMLU-Pro (Arcee) | Coming soon | 80.8% | Coming soon |

### Instruction Following

- Winner: Not comparable
- GLM-5.3 public-lane score: Coming soon
- MiniMax M2.7 public-lane score: 91.6 (#10/124)

### Mathematics

- Winner: Not comparable
- GLM-5.3 public-lane score: Coming soon
- MiniMax M2.7 public-lane score: Coming soon

| Benchmark | GLM-5.3 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| AIME25 (Arcee) | Coming soon | 80.0% | Coming soon |

## FAQ

### Which is better overall, GLM-5.3 or MiniMax M2.7?

GLM-5.3 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5.3 and MiniMax M2.7?

The widest category gap is in agentic, where the averages are 67.4 for GLM-5.3 and 29 for MiniMax M2.7.

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

GLM-5.3 currently has 24 sourced benchmark scores on BenchLM.

### How many benchmarks does MiniMax M2.7 cover on BenchLM?

MiniMax M2.7 currently has 23 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.3 vs GLM-5.2](/compare/glm-5-2-vs-glm-5-3)
- [MiniMax M2.7 vs GLM-5.2](/compare/glm-5-2-vs-minimax-m2-7)
- [GLM-5.3 vs GLM-5.3-Flash](/compare/glm-5-3-vs-glm-5-3-flash)
- [MiniMax M2.7 vs GLM-5.3-Flash](/compare/glm-5-3-flash-vs-minimax-m2-7)

## Explore More

- [GLM-5.3 profile](/models/glm-5-3)
- [MiniMax M2.7 profile](/models/minimax-m2-7)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)