# GLM-5 vs LFM2.5-8B-A1B

> Side-by-side benchmark comparison for GLM-5 and LFM2.5-8B-A1B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-vs-lfm2-5-8b-a1b
- Last updated: October 15, 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 and LFM2.5-8B-A1B 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.
- LFM2.5-8B-A1B has the lower published output-token price.
- GLM-5 has the larger published context window at 200K.

## Model Snapshot

| Property | GLM-5 | LFM2.5-8B-A1B |
|----------|----------|----------|
| Creator | Z.AI | LiquidAI |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 200K | 128K |
| Independent public score (not head-to-head) | 54.8 | 30.15 |
| Benchmarks Covered | 38 | 7 |
| Pricing (input/output) | $1.00 / $3.20 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 41.7 (Estimated · #62/126)
- LFM2.5-8B-A1B public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-8B-A1B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 56.2% | Coming soon | Coming soon |
| BrowseComp | 62% | Coming soon | Coming soon |
| HLE w/ tools | 50.4% | 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 |
| BFCL v4 | Coming soon | 49.7% | Coming soon |
| τ²-bench results | Coming soon | 88.1% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 38 (Estimated · #69/149)
- LFM2.5-8B-A1B public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-8B-A1B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 77.8% | Coming soon | Coming soon |
| SWE-bench Verified* | 72.8% | Coming soon | Coming soon |
| SWE-bench Pro | 55.1% | Coming soon | Coming soon |
| SWE Multilingual | 73.3% | Coming soon | Coming soon |
| NL2Repo | 35.9% | Coming soon | Coming soon |
| SWE-Rebench | 62.8% | Coming soon | Coming soon |
| React Native Evals | 74.8% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 56.2% | Coming soon | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 70.9 (Unranked · 4 rankable rows)
- LFM2.5-8B-A1B public-lane score: 25.9 (Unranked · 2 rankable rows)

| Benchmark | GLM-5 | LFM2.5-8B-A1B | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.8% | Coming soon | Coming soon |
| AI-Needle | 63.3% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 50.3 (Estimated · #79/182)
- LFM2.5-8B-A1B public-lane score: 26.4 (Supported · #167/182)

| Benchmark | GLM-5 | LFM2.5-8B-A1B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | Coming soon | Coming soon |
| GPQA-D | 86.0% | Coming soon | Coming soon |
| 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 | 30.5% | Coming soon | Coming soon |

### Multilingual

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 89.5 (#6/17)
- LFM2.5-8B-A1B public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-8B-A1B | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | 83.1% | Coming soon | Coming soon |
| NOVA-63 | 55.1% | Coming soon | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 88.6 (#34/146)
- LFM2.5-8B-A1B public-lane score: 36.5 (#121/146)

| Benchmark | GLM-5 | LFM2.5-8B-A1B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | 91.8% | GLM-5 |
| IFBench | Coming soon | 56.5% | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 83 (Unranked · 6 rankable rows)
- LFM2.5-8B-A1B public-lane score: 24 (Unranked · 3 rankable rows)

| Benchmark | GLM-5 | LFM2.5-8B-A1B | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 95.8% | 50.0% | GLM-5 |
| 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 |
| MATH-500 | Coming soon | 88.8% | Coming soon |
| AIME 2025 | Coming soon | 42.5% | Coming soon |

## FAQ

### Is there enough evidence to pick between GLM-5 and LFM2.5-8B-A1B?

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 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [LFM2.5-8B-A1B vs GLM-5.3](/compare/glm-5-3-vs-lfm2-5-8b-a1b)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [LFM2.5-8B-A1B vs GLM-5.2](/compare/glm-5-2-vs-lfm2-5-8b-a1b)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [LFM2.5-8B-A1B profile](/models/lfm2-5-8b-a1b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)