# GLM-5.2 vs Ling 3.0 Flash

> Side-by-side benchmark comparison for GLM-5.2 and Ling 3.0 Flash across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-2-vs-ling-3-0-flash
- Last updated: September 4, 2026

- Shared sourced benchmarks: 12
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick GLM-5.2 if you want the stronger benchmark profile. Ling 3.0 Flash 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 68.21 to 52.2.
- The clearest category separation is in agentic, where the averages are 60.2 for GLM-5.2 and 40 for Ling 3.0 Flash.
- The biggest single benchmark swing is HLE in Knowledge, with scores of 54.7% and 22.7%.
- Ling 3.0 Flash 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 | Ling 3.0 Flash |
|----------|----------|----------|
| Creator | Z.AI | InclusionAI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Overall Score | 68.21 | 52.2 |
| Benchmarks Covered | 25 | 22 |
| Pricing (input/output) | $1.40 / $4.40 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: GLM-5.2
- GLM-5.2 public-lane score: 60.2 (Supported · #25/151)
- Ling 3.0 Flash public-lane score: 40 (Supported · #121/151)

| Benchmark | GLM-5.2 | Ling 3.0 Flash | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 4.6% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 81% | Coming soon | Coming soon |
| MCP Atlas | 76.8% | 65.5% | GLM-5.2 |
| Toolathlon | 48.2% | Coming soon | Coming soon |
| ResearchClawBench | 20.7% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 67.8% | 50.2% | GLM-5.2 |
| skillsBench | Coming soon | 44.8% | Coming soon |
| BFCL v4 | Coming soon | 73.0% | Coming soon |
| WideResearch | Coming soon | 73.6% | Coming soon |
| BrowseComp | Coming soon | 72.2% | Coming soon |
| DRACO | Coming soon | 70.4% | Coming soon |

### Coding

- Winner: Coming soon
- GLM-5.2 public-lane score: 60.9 (Supported · #20/183)
- Ling 3.0 Flash public-lane score: 42.8 (Estimated · #126/183)

| Benchmark | GLM-5.2 | Ling 3.0 Flash | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 62.1% | 56.6% | GLM-5.2 |
| NL2Repo | 48.9% | Coming soon | Coming soon |
| 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% | 84.0% | Ling 3.0 Flash |
| SWE-bench (Vals) | 82.8% | 65.2% | GLM-5.2 |
| SWE Multilingual | Coming soon | 72.4% | Coming soon |
| LiveCodeBench v5 | Coming soon | 82.8% | Coming soon |
| SciCode | Coming soon | 41.2% | Coming soon |

### Reasoning

- Winner: Coming soon
- GLM-5.2 public-lane score: 76.2 (Unranked · 2 rankable rows)
- Ling 3.0 Flash public-lane score: 69.2 (Unranked · 2 rankable rows)

| Benchmark | GLM-5.2 | Ling 3.0 Flash | Winner |
|-----------|-----------|-----------|--------|
| CritPt | 20.9% | Coming soon | Coming soon |

### Knowledge

- Winner: GLM-5.2
- GLM-5.2 public-lane score: 60.9 (Supported · #38/181)
- Ling 3.0 Flash public-lane score: 45.9 (Supported · #112/181)

| Benchmark | GLM-5.2 | Ling 3.0 Flash | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 91.2% | 85.0% | GLM-5.2 |
| GPQA-D | 91.2% | 85.0% | GLM-5.2 |
| HLE | 54.7% | 22.7% | GLM-5.2 |
| HLE w/o tools | 40.5% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 85.6% | 84.8% | GLM-5.2 |
| MMLU-Pro (Vals) | 86.7% | 82.0% | GLM-5.2 |

### Instruction Following

- Winner: Coming soon
- GLM-5.2 public-lane score: 89.6 (#22/120)
- Ling 3.0 Flash public-lane score: 75.6 (#58/120)

| Benchmark | GLM-5.2 | Ling 3.0 Flash | Winner |
|-----------|-----------|-----------|--------|
| IFBench | Coming soon | 74.5% | Coming soon |

### Mathematics

- Winner: Coming soon
- GLM-5.2 public-lane score: 80.7 (Unranked · 4 rankable rows)
- Ling 3.0 Flash public-lane score: 73.7 (Unranked · 3 rankable rows)

| Benchmark | GLM-5.2 | Ling 3.0 Flash | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 99.2% | 93.2% | GLM-5.2 |
| HMMT Nov 2025 | 94.4% | Coming soon | Coming soon |
| HMMT Feb 2026 | 92.5% | 87.0% | GLM-5.2 |
| MMAnswerBench | 91.0% | Coming soon | Coming soon |
| IMOAnswerBench | Coming soon | 83.7% | Coming soon |

## FAQ

### Which is better overall, GLM-5.2 or Ling 3.0 Flash?

GLM-5.2 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5.2 and Ling 3.0 Flash?

The widest category gap is in agentic, where the averages are 60.2 for GLM-5.2 and 40 for Ling 3.0 Flash.

### 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 Ling 3.0 Flash cover on BenchLM?

Ling 3.0 Flash currently has 22 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.2 vs GLM-5.3](/compare/glm-5-2-vs-glm-5-3)
- [Ling 3.0 Flash vs GLM-5.3](/compare/glm-5-3-vs-ling-3-0-flash)
- [GLM-5.2 vs GLM-5.3-Flash](/compare/glm-5-2-vs-glm-5-3-flash)
- [Ling 3.0 Flash vs GLM-5.3-Flash](/compare/glm-5-3-flash-vs-ling-3-0-flash)

## Explore More

- [GLM-5.2 profile](/models/glm-5-2)
- [Ling 3.0 Flash profile](/models/ling-3-0-flash)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)