# GLM-5 vs Qwen3.8-Omni-Flash

> Side-by-side benchmark comparison for GLM-5 and Qwen3.8-Omni-Flash across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-vs-qwen3-8-omni-flash
- Last updated: September 18, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick Qwen3.8-Omni-Flash if you want the stronger benchmark profile. GLM-5 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Qwen3.8-Omni-Flash leads overall 63 to 61.47.
- The clearest category separation is in coding, where the averages are 56 for GLM-5 and 53.5 for Qwen3.8-Omni-Flash.
- The biggest single benchmark swing is HLE in Knowledge, with scores of 50.4% and 36.5%.
- Qwen3.8-Omni-Flash is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Qwen3.8-Omni-Flash also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5 | Qwen3.8-Omni-Flash |
|----------|----------|----------|
| Creator | Z.AI | Alibaba |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 200K | 1M |
| Overall Score | 61.47 | null |
| Benchmarks Covered | 36 | 19 |
| Pricing (input/output) | $1.00 / $3.20 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Coming soon
- GLM-5 public-lane score: 51 (Estimated · #48/154)
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | GLM-5 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 56.2% | Coming soon | Coming soon |
| Claw-Eval | 57.7% | Coming soon | Coming soon |
| QwenClawBench | 54.1% | Coming soon | Coming soon |
| τ³-bench results | 65.6% | Coming soon | Coming soon |
| DeepPlanning | 14.6% | Coming soon | Coming soon |
| Toolathlon | 38% | Coming soon | Coming soon |
| MCP Atlas | 31.1% | Coming soon | Coming soon |
| MCP-Tasks | 60.8% | Coming soon | Coming soon |
| WideResearch | 69.8% | Coming soon | Coming soon |
| CyberGym | 43.2% | Coming soon | Coming soon |
| Gert Labs | 50.99% | Coming soon | Coming soon |
| CoWorkBench | Coming soon | 75.3% | Coming soon |
| AndroidWorld | Coming soon | 87.1% | Coming soon |

### Coding

- Winner: Coming soon
- GLM-5 public-lane score: 56 (Estimated · #39/154)
- Qwen3.8-Omni-Flash public-lane score: 53.5 (Estimated · #45/154)

| Benchmark | GLM-5 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 77.8% | Coming soon | Coming soon |
| SWE-bench Verified* | 72.8% | Coming soon | Coming soon |
| SWE-bench Pro | 55.1% | 63.3% | Qwen3.8-Omni-Flash |
| SWE Multilingual | 73.3% | 80.5% | Qwen3.8-Omni-Flash |
| SWE-Rebench | 62.8% | Coming soon | Coming soon |
| React Native Evals | 74.8% | Coming soon | Coming soon |
| NL2Repo | Coming soon | 48.9% | Coming soon |
| DeepSWE | Coming soon | 57.8% | Coming soon |
| LiveCodeBench v6 | Coming soon | 92.6% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- GLM-5 public-lane score: Coming soon
- Qwen3.8-Omni-Flash public-lane score: 85.1 (Unranked · 7 rankable rows)

| Benchmark | GLM-5 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| Vision2Web | Coming soon | 62.9% | Coming soon |
| ERQA | Coming soon | 71.0% | Coming soon |
| LVBench | Coming soon | 76.9% | Coming soon |
| RealWorldQA | Coming soon | 87.7% | Coming soon |
| MathVision | Coming soon | 91.8% | Coming soon |
| MathVision w/ Python | Coming soon | 96.2% | Coming soon |
| CharXiv w/o tools | Coming soon | 83.5% | Coming soon |
| CharXiv | Coming soon | 91.4% | Coming soon |

### Reasoning

- Winner: Coming soon
- GLM-5 public-lane score: 52.1 (Unranked · 4 rankable rows)
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | GLM-5 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.8% | Coming soon | Coming soon |
| AI-Needle | 63.3% | Coming soon | Coming soon |

### Knowledge

- Winner: Coming soon
- GLM-5 public-lane score: 54.1 (Estimated · #58/184)
- Qwen3.8-Omni-Flash public-lane score: 54.9 (Estimated · #54/184)

| Benchmark | GLM-5 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | 91% | Qwen3.8-Omni-Flash |
| GPQA-D | 86.0% | 91.0% | Qwen3.8-Omni-Flash |
| SuperGPQA | 66.8% | Coming soon | Coming soon |
| MMLU-Pro | 85.7% | Coming soon | Coming soon |
| MMLU-Pro (Arcee) | 85.8% | Coming soon | Coming soon |
| HLE | 50.4% | 36.5% | GLM-5 |

### Instruction Following

- Winner: Coming soon
- GLM-5 public-lane score: 87.2 (#32/124)
- Qwen3.8-Omni-Flash public-lane score: 87.7 (#29/124)

| Benchmark | GLM-5 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | Coming soon | Coming soon |
| IFBench | Coming soon | 81.5% | Coming soon |

### Multilingual

- Winner: Coming soon
- GLM-5 public-lane score: 48.7 (#6/12)
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | GLM-5 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | 83.1% | Coming soon | Coming soon |
| NOVA-63 | 55.1% | Coming soon | Coming soon |

### Mathematics

- Winner: Coming soon
- GLM-5 public-lane score: 56.5 (#7/7)
- Qwen3.8-Omni-Flash public-lane score: Coming soon

| Benchmark | GLM-5 | Qwen3.8-Omni-Flash | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 95.8% | Coming soon | Coming soon |
| AIME25 (Arcee) | 93.3% | Coming soon | Coming soon |
| HMMT Feb 2025 | 97.5% | Coming soon | Coming soon |
| HMMT Nov 2025 | 96.9% | Coming soon | Coming soon |
| HMMT Feb 2026 | 86.4% | Coming soon | Coming soon |
| MMAnswerBench | 82.5% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 16.434% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 2.100% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GLM-5 or Qwen3.8-Omni-Flash?

Qwen3.8-Omni-Flash is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5 and Qwen3.8-Omni-Flash?

The widest category gap is in coding, where the averages are 56 for GLM-5 and 53.5 for Qwen3.8-Omni-Flash.

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

GLM-5 currently has 36 sourced benchmark scores on BenchLM.

### How many benchmarks does Qwen3.8-Omni-Flash cover on BenchLM?

Qwen3.8-Omni-Flash currently has 19 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [Qwen3.8-Omni-Flash vs GLM-5.3](/compare/glm-5-3-vs-qwen3-8-omni-flash)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [Qwen3.8-Omni-Flash vs GLM-5.2](/compare/glm-5-2-vs-qwen3-8-omni-flash)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [Qwen3.8-Omni-Flash profile](/models/qwen3-8-omni-flash)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)