# LFM2.5-24B-A2B vs InfoXLM large (550M) (Belebele Translate-Train-All)

> Side-by-side benchmark comparison for LFM2.5-24B-A2B and InfoXLM large (550M) (Belebele Translate-Train-All) across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/lfm2-5-24b-a2b-vs-native-belebele-infoxlm-large-550m-translate-train-all
- Last updated: October 13, 2026

- Shared sourced benchmarks: 0
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

No benchmark verdict yet: there is no shared sourced benchmark row for LFM2.5-24B-A2B and InfoXLM large (550M) (Belebele Translate-Train-All).

## Summary

- LFM2.5-24B-A2B and InfoXLM large (550M) (Belebele Translate-Train-All) do not currently share a sourced benchmark row. The mirror therefore compares metadata, pricing, context windows, and each model's separately reported coverage without naming a benchmark winner.

## Model Snapshot

| Property | LFM2.5-24B-A2B | InfoXLM large (550M) (Belebele Translate-Train-All) |
|----------|----------|----------|
| Creator | LiquidAI | Belebele authors |
| Type | Open Weight | Research system |
| Reasoning | Reasoning | Unspecified |
| Context | 131K | null |
| Independent public score (not head-to-head) | 37.8 | null |
| Benchmarks Covered | 13 | 0 |
| Pricing (input/output) | $0.10 / $1.00 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: 30.2 (Estimated · #88/124)
- InfoXLM large (550M) (Belebele Translate-Train-All) public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | InfoXLM large (550M) (Belebele Translate-Train-All) | Winner |
|-----------|-----------|-----------|--------|
| AutomationBench | 27.7% | Coming soon | Coming soon |
| BFCL v4 | 65.0% | Coming soon | Coming soon |
| τ³-bench results | 8.0% | Coming soon | Coming soon |
| PinchBench | 83.2% | Coming soon | Coming soon |
| WebArena-Verified | 26.8% | Coming soon | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: 28.5 (Estimated · #98/149)
- InfoXLM large (550M) (Belebele Translate-Train-All) public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | InfoXLM large (550M) (Belebele Translate-Train-All) | Winner |
|-----------|-----------|-----------|--------|
| SciCode | 32.7% | Coming soon | Coming soon |
| SWE-bench Verified | 51% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: 40.8 (Estimated · #112/181)
- InfoXLM large (550M) (Belebele Translate-Train-All) public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | InfoXLM large (550M) (Belebele Translate-Train-All) | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 74.4% | Coming soon | Coming soon |
| GPQA-D | 74.4% | Coming soon | Coming soon |
| HLE | 7.4% | Coming soon | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: 75.6 (#61/128)
- InfoXLM large (550M) (Belebele Translate-Train-All) public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | InfoXLM large (550M) (Belebele Translate-Train-All) | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 96.8% | Coming soon | Coming soon |
| IFBench | 74.7% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: Coming soon
- InfoXLM large (550M) (Belebele Translate-Train-All) public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | InfoXLM large (550M) (Belebele Translate-Train-All) | Winner |
|-----------|-----------|-----------|--------|
| MATH-500 | 96.0% | Coming soon | Coming soon |

## FAQ

### Can I compare LFM2.5-24B-A2B and InfoXLM large (550M) (Belebele Translate-Train-All) on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but sourced benchmark coverage is still incomplete for a fair score-level comparison.

### Why does this page show "coming soon" values?

BenchLM only calls winners when public benchmark coverage is available on both sides of the comparison.

## Related Comparisons

- [LFM2.5-24B-A2B vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-lfm2-5-24b-a2b)
- [InfoXLM large (550M) (Belebele Translate-Train-All) vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-native-belebele-infoxlm-large-550m-translate-train-all)
- [LFM2.5-24B-A2B vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-lfm2-5-24b-a2b)
- [InfoXLM large (550M) (Belebele Translate-Train-All) vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-native-belebele-infoxlm-large-550m-translate-train-all)

## Explore More

- [LFM2.5-24B-A2B profile](/models/lfm2-5-24b-a2b)
- [InfoXLM large (550M) (Belebele Translate-Train-All) profile](/models/native-belebele-infoxlm-large-550m-translate-train-all)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)