# GLM-5.2 vs MiniMax M2.7

> Side-by-side benchmark comparison for GLM-5.2 and MiniMax M2.7 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-2-vs-minimax-m2-7
- Last updated: September 14, 2026

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

## Quick Verdict

Pick GLM-5.2 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-5.2 leads overall 68.19 to 55.26.
- The clearest category separation is in agentic, where the averages are 58.5 for GLM-5.2 and 41.3 for MiniMax M2.7.
- The biggest single benchmark swing is Terminal-Bench 2.0 in Agentic, with scores of 81% and 57%.
- MiniMax M2.7 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5.2 also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5.2 | MiniMax M2.7 |
|----------|----------|----------|
| Creator | Z.AI | MiniMax |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | 1M | 200K |
| Overall Score | 68.19 | 55.26 |
| Benchmarks Covered | 25 | 23 |
| Pricing (input/output) | $1.40 / $4.40 | $0.30 / $1.20 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- GLM-5.2 public-lane score: 58.5 (Supported · #29/153)
- MiniMax M2.7 public-lane score: 41.3 (Estimated · #111/153)

| Benchmark | GLM-5.2 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 4.6% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 81% | 57% | GLM-5.2 |
| MCP Atlas | 76.8% | Coming soon | Coming soon |
| Toolathlon | 48.2% | 46.3% | GLM-5.2 |
| ResearchClawBench | 20.7% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 67.8% | 48.7% | GLM-5.2 |
| 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: Coming soon
- GLM-5.2 public-lane score: 61 (Supported · #19/152)
- MiniMax M2.7 public-lane score: 48.8 (Estimated · #68/152)

| Benchmark | GLM-5.2 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 62.1% | 56.2% | GLM-5.2 |
| NL2Repo | 48.9% | 39.8% | GLM-5.2 |
| Terminal-Bench 2.0 | 81.0% | Coming soon | Coming soon |
| ProgramBench | 63.7% | Coming soon | Coming soon |
| cursorBench32 | 55.0% | Coming soon | Coming soon |
| OpenHarmony Bench | 58.4% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 69.5% | 79.9% | MiniMax M2.7 |
| SWE-bench (Vals) | 82.8% | 73.8% | GLM-5.2 |
| SWE-bench Verified* | Coming soon | 75.4% | 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: Coming soon
- GLM-5.2 public-lane score: 74.8 (Unranked · 2 rankable rows)
- MiniMax M2.7 public-lane score: 74.8 (Unranked · 2 rankable rows)

| Benchmark | GLM-5.2 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| CritPt | 20.9% | Coming soon | Coming soon |

### Knowledge

- Winner: GLM-5.2
- GLM-5.2 public-lane score: 60.7 (Supported · #35/183)
- MiniMax M2.7 public-lane score: 48.7 (Supported · #90/183)

| Benchmark | GLM-5.2 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 91.2% | Coming soon | Coming soon |
| GPQA-D | 91.2% | 87.0% | GLM-5.2 |
| HLE | 54.7% | Coming soon | Coming soon |
| HLE w/o tools | 40.5% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 85.6% | 86.6% | MiniMax M2.7 |
| MMLU-Pro (Vals) | 86.7% | 80.4% | GLM-5.2 |
| MMLU-Pro (Arcee) | Coming soon | 80.8% | Coming soon |

### Instruction Following

- Winner: Coming soon
- GLM-5.2 public-lane score: 89.8 (#22/123)
- MiniMax M2.7 public-lane score: 93 (#10/123)

### Mathematics

- Winner: Coming soon
- GLM-5.2 public-lane score: 80.7 (Unranked · 4 rankable rows)
- MiniMax M2.7 public-lane score: Coming soon

| Benchmark | GLM-5.2 | MiniMax M2.7 | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 99.2% | Coming soon | Coming soon |
| HMMT Nov 2025 | 94.4% | Coming soon | Coming soon |
| HMMT Feb 2026 | 92.5% | Coming soon | Coming soon |
| MMAnswerBench | 91.0% | Coming soon | Coming soon |
| AIME25 (Arcee) | Coming soon | 80.0% | Coming soon |

## FAQ

### Which is better overall, GLM-5.2 or MiniMax M2.7?

GLM-5.2 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5.2 and MiniMax M2.7?

The widest category gap is in agentic, where the averages are 58.5 for GLM-5.2 and 41.3 for MiniMax M2.7.

### How many benchmarks does GLM-5.2 cover on BenchLM?

GLM-5.2 currently has 25 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-5.2 vs GLM-5.3](/compare/glm-5-2-vs-glm-5-3)
- [MiniMax M2.7 vs GLM-5.3](/compare/glm-5-3-vs-minimax-m2-7)
- [GLM-5.2 vs GLM-5.3-Flash](/compare/glm-5-2-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-5.2 profile](/models/glm-5-2)
- [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)