# GLM-5 vs LFM2.5-230M

> Side-by-side benchmark comparison for GLM-5 and LFM2.5-230M across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-vs-lfm2-5-230m
- Last updated: September 27, 2026

- Shared sourced benchmarks: 4
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Pick GLM-5 if you want the stronger benchmark profile. LFM2.5-230M only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GLM-5 leads overall 54.45 to 34.
- The clearest category separation is in instruction following, where the averages are 87.2 for GLM-5 and 10.4 for LFM2.5-230M.
- The biggest single benchmark swing is MMLU-Pro in Knowledge, with scores of 85.7% and 20.3%.
- LFM2.5-230M is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5 also has the larger context window at 200K.

## Model Snapshot

| Property | GLM-5 | LFM2.5-230M |
|----------|----------|----------|
| Creator | Z.AI | LiquidAI |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 200K | 32K |
| Overall Score | 54.45 | null |
| Benchmarks Covered | 36 | 6 |
| Pricing (input/output) | $1.00 / $3.20 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Not comparable
- GLM-5 public-lane score: 37.2 (Estimated · #49/105)
- LFM2.5-230M public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-230M | 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 |
| BFCL v4 | Coming soon | 21.0% | Coming soon |

### Coding

- Winner: Not comparable
- GLM-5 public-lane score: 39.3 (Estimated · #58/135)
- LFM2.5-230M public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-230M | 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 |
| SWE-Rebench | 62.8% | Coming soon | Coming soon |
| React Native Evals | 74.8% | Coming soon | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5 public-lane score: 53.2 (Unranked · 4 rankable rows)
- LFM2.5-230M public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-230M | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.8% | Coming soon | Coming soon |
| AI-Needle | 63.3% | Coming soon | Coming soon |

### Knowledge

- Winner: Not comparable
- GLM-5 public-lane score: 47.1 (Estimated · #68/158)
- LFM2.5-230M public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-230M | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | 25.4% | GLM-5 |
| GPQA-D | 86.0% | 25.4% | GLM-5 |
| SuperGPQA | 66.8% | Coming soon | Coming soon |
| MMLU-Pro | 85.7% | 20.3% | GLM-5 |
| MMLU-Pro (Arcee) | 85.8% | Coming soon | Coming soon |
| HLE | 50.4% | Coming soon | Coming soon |

### Multilingual

- Winner: Not comparable
- GLM-5 public-lane score: 48.7 (#6/12)
- LFM2.5-230M public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-230M | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | 83.1% | Coming soon | Coming soon |
| NOVA-63 | 55.1% | Coming soon | Coming soon |

### Instruction Following

- Winner: Directional only
- GLM-5 public-lane score: 87.2 (#32/124)
- LFM2.5-230M public-lane score: 10.4 (#123/124)

| Benchmark | GLM-5 | LFM2.5-230M | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | 71.7% | GLM-5 |
| IFBench | Coming soon | 38.4% | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-5 public-lane score: 56.5 (#7/7)
- LFM2.5-230M public-lane score: Coming soon

| Benchmark | GLM-5 | LFM2.5-230M | 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 LFM2.5-230M?

GLM-5 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5 and LFM2.5-230M?

The widest category gap is in instruction following, where the averages are 87.2 for GLM-5 and 10.4 for LFM2.5-230M.

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

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

### How many benchmarks does LFM2.5-230M cover on BenchLM?

LFM2.5-230M currently has 6 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [LFM2.5-230M vs GLM-5.3](/compare/glm-5-3-vs-lfm2-5-230m)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [LFM2.5-230M vs GLM-5.2](/compare/glm-5-2-vs-lfm2-5-230m)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [LFM2.5-230M profile](/models/lfm2-5-230m)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)