# GLM-5.3-Flash vs Qwen3.5-27B

> Side-by-side benchmark comparison for GLM-5.3-Flash and Qwen3.5-27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-3-flash-vs-qwen3-5-27b
- Last updated: October 10, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: GLM-5.3-Flash and Qwen3.5-27B share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- GLM-5.3-Flash has the larger published context window at 1M.

## Model Snapshot

| Property | GLM-5.3-Flash | Qwen3.5-27B |
|----------|----------|----------|
| Creator | Z.AI | Alibaba |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Independent public score (not head-to-head) | 57.36 | 49.95 |
| Benchmarks Covered | 21 | 20 |
| Pricing (input/output) | $0.00 / $0.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: 55.7 (Supported · #34/123)
- Qwen3.5-27B public-lane score: 36.9 (Estimated · #69/123)

| Benchmark | GLM-5.3-Flash | Qwen3.5-27B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | Coming soon | Coming soon |
| Toolathlon-Verified | 78.4% | Coming soon | Coming soon |
| AutomationBench | 48.8% | Coming soon | Coming soon |
| Agents' Last Exam | 26.3% | Coming soon | Coming soon |
| HLE w/ tools | 55.3% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 62.9% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 41.6% | Coming soon |
| BrowseComp | Coming soon | 61% | Coming soon |
| OSWorld-Verified | Coming soon | 56.2% | Coming soon |
| Gert Labs | Coming soon | 39.41% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: 49.3 (Supported · #42/146)
- Qwen3.5-27B public-lane score: 33.6 (Estimated · #81/146)

| Benchmark | GLM-5.3-Flash | Qwen3.5-27B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | Coming soon | Coming soon |
| DeepSWE | 63.4% | Coming soon | Coming soon |
| NL2Repo | 56.3% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 80.5% | Coming soon | Coming soon |
| SWE-bench (Vals) | 92.0% | Coming soon | Coming soon |
| OpenHarmony Bench | 57.3% | Coming soon | Coming soon |
| FrontierSWE v2 | 18.1% | Coming soon | Coming soon |
| Bug Hunt Bench | 17.7 fixes | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 72.4% | Coming soon |
| LiveCodeBench v6 | Coming soon | 80.7% | Coming soon |
| SWE-Rebench | Coming soon | 58.9% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 41.6% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: 81.1 (#11/28)
- Qwen3.5-27B public-lane score: 71.2 (Unranked · 3 rankable rows)

| Benchmark | GLM-5.3-Flash | Qwen3.5-27B | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | Coming soon | 60.6% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: 84 (#14/54)
- Qwen3.5-27B public-lane score: 67.5 (#36/54)

| Benchmark | GLM-5.3-Flash | Qwen3.5-27B | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 62.4% | Coming soon | Coming soon |
| CharXiv | 89.4% | 79.5% | GLM-5.3-Flash |
| Chartography (tools) | 78.0% | Coming soon | Coming soon |
| BabyVision | 53.4% | Coming soon | Coming soon |
| MMVU | 80.5% | 73.3% | GLM-5.3-Flash |
| MMMU | Coming soon | 82.3% | Coming soon |
| MMMU-Pro | Coming soon | 75% | Coming soon |
| MathVision | Coming soon | 86.0% | Coming soon |
| V* | Coming soon | 93.7% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: 60.5 (Supported · #43/177)
- Qwen3.5-27B public-lane score: 46.4 (Supported · #88/177)

| Benchmark | GLM-5.3-Flash | Qwen3.5-27B | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 86.4% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.1% | Coming soon | Coming soon |
| MMLU-Pro | Coming soon | 86.1% | Coming soon |
| SuperGPQA | Coming soon | 65.6% | Coming soon |
| GPQA | Coming soon | 85.5% | Coming soon |

### Multilingual

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: Coming soon
- Qwen3.5-27B public-lane score: 87.1 (#10/17)

| Benchmark | GLM-5.3-Flash | Qwen3.5-27B | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | Coming soon | 82.2% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: Coming soon
- Qwen3.5-27B public-lane score: 92.9 (#14/127)

| Benchmark | GLM-5.3-Flash | Qwen3.5-27B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 95% | Coming soon |

## FAQ

### Is there enough evidence to pick between GLM-5.3-Flash and Qwen3.5-27B?

Not yet. The models share only 2 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [GLM-5.3-Flash vs GLM-5.3](/compare/glm-5-3-vs-glm-5-3-flash)
- [Qwen3.5-27B vs GLM-5.3](/compare/glm-5-3-vs-qwen3-5-27b)
- [GLM-5.3-Flash vs GLM-5.2](/compare/glm-5-2-vs-glm-5-3-flash)
- [Qwen3.5-27B vs GLM-5.2](/compare/glm-5-2-vs-qwen3-5-27b)

## Explore More

- [GLM-5.3-Flash profile](/models/glm-5-3-flash)
- [Qwen3.5-27B profile](/models/qwen3-5-27b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)