# LFM2.5-230M vs Llama 3.1 8B

> Side-by-side benchmark comparison for LFM2.5-230M and Llama 3.1 8B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/lfm2-5-230m-vs-llama-3-1-8b
- Last updated: October 14, 2026

- Shared sourced benchmarks: 3
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: LFM2.5-230M and Llama 3.1 8B share only 3 sourced benchmark rows.

## Summary

- Only 3 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Llama 3.1 8B has the larger published context window at 128K.

## Model Snapshot

| Property | LFM2.5-230M | Llama 3.1 8B |
|----------|----------|----------|
| Creator | LiquidAI | Meta |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 32K | 128K |
| Independent public score (not head-to-head) | null | null |
| Benchmarks Covered | 6 | 7 |
| Pricing (input/output) | $0.00 / $0.00 | N/A |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- LFM2.5-230M public-lane score: Coming soon
- Llama 3.1 8B public-lane score: Coming soon

| Benchmark | LFM2.5-230M | Llama 3.1 8B | Winner |
|-----------|-----------|-----------|--------|
| BFCL v4 | 21.0% | Coming soon | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- LFM2.5-230M public-lane score: Coming soon
- Llama 3.1 8B public-lane score: Coming soon

| Benchmark | LFM2.5-230M | Llama 3.1 8B | Winner |
|-----------|-----------|-----------|--------|
| HumanEval | Coming soon | 72.6% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- LFM2.5-230M public-lane score: Coming soon
- Llama 3.1 8B public-lane score: Coming soon

| Benchmark | LFM2.5-230M | Llama 3.1 8B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 25.4% | 30.4% | Llama 3.1 8B |
| GPQA-D | 25.4% | Coming soon | Coming soon |
| MMLU-Pro | 20.3% | 48.3% | Llama 3.1 8B |
| MMLU | Coming soon | 73% | Coming soon |

### Multilingual

- Winner: Insufficient shared evidence
- LFM2.5-230M public-lane score: Coming soon
- Llama 3.1 8B public-lane score: Coming soon

| Benchmark | LFM2.5-230M | Llama 3.1 8B | Winner |
|-----------|-----------|-----------|--------|
| MGSM | Coming soon | 68.9% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- LFM2.5-230M public-lane score: 9.7 (#126/128)
- Llama 3.1 8B public-lane score: Coming soon

| Benchmark | LFM2.5-230M | Llama 3.1 8B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 71.7% | 80.4% | Llama 3.1 8B |
| IFBench | 38.4% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- LFM2.5-230M public-lane score: Coming soon
- Llama 3.1 8B public-lane score: Coming soon

| Benchmark | LFM2.5-230M | Llama 3.1 8B | Winner |
|-----------|-----------|-----------|--------|
| GSM8K | Coming soon | 84.5% | Coming soon |

## FAQ

### Is there enough evidence to pick between LFM2.5-230M and Llama 3.1 8B?

Not yet. The models share only 3 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

- [LFM2.5-230M vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-lfm2-5-230m)
- [Llama 3.1 8B vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-llama-3-1-8b)
- [LFM2.5-230M vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-lfm2-5-230m)
- [Llama 3.1 8B vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-llama-3-1-8b)

## Explore More

- [LFM2.5-230M profile](/models/lfm2-5-230m)
- [Llama 3.1 8B profile](/models/llama-3-1-8b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
