# LFM2.5-24B-A2B vs Muse Spark 1.1

> Side-by-side benchmark comparison for LFM2.5-24B-A2B and Muse Spark 1.1 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/lfm2-5-24b-a2b-vs-muse-spark-1-1
- Last updated: October 13, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: LFM2.5-24B-A2B and Muse Spark 1.1 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.
- Muse Spark 1.1 has the larger published context window at 1M.

## Model Snapshot

| Property | LFM2.5-24B-A2B | Muse Spark 1.1 |
|----------|----------|----------|
| Creator | LiquidAI | Meta |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 131K | 1M |
| Independent public score (not head-to-head) | 37.8 | 65.59 |
| Benchmarks Covered | 13 | 26 |
| Pricing (input/output) | $0.10 / $1.00 | N/A |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: 30.2 (Estimated · #88/124)
- Muse Spark 1.1 public-lane score: 57 (Supported · #32/124)

| Benchmark | LFM2.5-24B-A2B | Muse Spark 1.1 | 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% | 69% | Muse Spark 1.1 |
| Terminal-Bench 2.1 | Coming soon | 80.0% | Coming soon |
| MCP Atlas | Coming soon | 88.1% | Coming soon |
| Toolathlon | Coming soon | 75.6% | Coming soon |
| OSWorld-Verified | Coming soon | 80.8% | Coming soon |
| DeepSearchQA | Coming soon | 84.9% | Coming soon |
| CyberGym | Coming soon | 59.0% | Coming soon |
| Finance Agent v2 | Coming soon | 57.2% | Coming soon |
| deepSwe | Coming soon | 53.3% | Coming soon |
| OSWorld 2.0 | Coming soon | 14.2% | Coming soon |
| JobBench | Coming soon | 54.7% | Coming soon |
| Cybench | Coming soon | 92.9% | Coming soon |
| ExploitGym | Coming soon | 0.8% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 69.3% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: 28.5 (Estimated · #98/149)
- Muse Spark 1.1 public-lane score: 53 (Supported · #37/149)

| Benchmark | LFM2.5-24B-A2B | Muse Spark 1.1 | Winner |
|-----------|-----------|-----------|--------|
| SciCode | 32.7% | Coming soon | Coming soon |
| SWE-bench Verified | 51% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 80.0% | Coming soon |
| SWE-bench Pro | Coming soon | 61.5% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 85.9% | Coming soon |
| SWE-bench (Vals) | Coming soon | 82.0% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: Coming soon
- Muse Spark 1.1 public-lane score: 79.2 (Unranked · 3 rankable rows)

| Benchmark | LFM2.5-24B-A2B | Muse Spark 1.1 | Winner |
|-----------|-----------|-----------|--------|
| MRCR 1M | Coming soon | 54.1% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: Coming soon
- Muse Spark 1.1 public-lane score: 81.9 (Unranked · 2 rankable rows)

| Benchmark | LFM2.5-24B-A2B | Muse Spark 1.1 | Winner |
|-----------|-----------|-----------|--------|
| CharXiv | Coming soon | 88.4% | Coming soon |
| BabyVision | Coming soon | 76.3% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: 40.8 (Estimated · #112/181)
- Muse Spark 1.1 public-lane score: 67.8 (Supported · #24/181)

| Benchmark | LFM2.5-24B-A2B | Muse Spark 1.1 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 74.4% | Coming soon | Coming soon |
| GPQA-D | 74.4% | Coming soon | Coming soon |
| HLE | 7.4% | 62.1% | Muse Spark 1.1 |
| HLE w/o tools | Coming soon | 52.2% | Coming soon |
| HealthBench Professional | Coming soon | 59.3% | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 91.2% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 88.7% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- LFM2.5-24B-A2B public-lane score: 75.6 (#61/128)
- Muse Spark 1.1 public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | Muse Spark 1.1 | 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
- Muse Spark 1.1 public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | Muse Spark 1.1 | Winner |
|-----------|-----------|-----------|--------|
| MATH-500 | 96.0% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between LFM2.5-24B-A2B and Muse Spark 1.1?

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

- [LFM2.5-24B-A2B vs Muse Spark 1.2](/compare/lfm2-5-24b-a2b-vs-muse-spark-1-2)
- [Muse Spark 1.1 vs Muse Spark 1.2](/compare/muse-spark-1-1-vs-muse-spark-1-2)
- [LFM2.5-24B-A2B vs Muse Spark](/compare/lfm2-5-24b-a2b-vs-muse-spark)
- [Muse Spark 1.1 vs Muse Spark](/compare/muse-spark-vs-muse-spark-1-1)

## Explore More

- [LFM2.5-24B-A2B profile](/models/lfm2-5-24b-a2b)
- [Muse Spark 1.1 profile](/models/muse-spark-1-1)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)