# LFM2.5-24B-A2B vs Ternary Bonsai 2 27B

> Side-by-side benchmark comparison for LFM2.5-24B-A2B and Ternary Bonsai 2 27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/lfm2-5-24b-a2b-vs-ternary-bonsai-2-27b
- Last updated: October 13, 2026

- Shared sourced benchmarks: 6
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Ternary Bonsai 2 27B leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- Ternary Bonsai 2 27B has the higher overall point estimate 53.66 to 37.8. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in instruction following, where the averages are 75.6 for LFM2.5-24B-A2B and 74 for Ternary Bonsai 2 27B.
- The biggest single benchmark swing is GPQA in Knowledge, with scores of 74.4% and 85.8%.
- Ternary Bonsai 2 27B is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Ternary Bonsai 2 27B also has the larger context window at 262K.

## Model Snapshot

| Property | LFM2.5-24B-A2B | Ternary Bonsai 2 27B |
|----------|----------|----------|
| Creator | LiquidAI | Prism ML |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 131K | 262K |
| Overall Score | 37.8 | 53.66 |
| Benchmarks Covered | 13 | 21 |
| Pricing (input/output) | $0.10 / $1.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Not comparable
- LFM2.5-24B-A2B public-lane score: 30.2 (Estimated · #88/124)
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | Ternary Bonsai 2 27B | 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 |
| τ²-bench results | Coming soon | 80.2% | Coming soon |
| BFCL v3 | Coming soon | 74.9% | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 52.8% | Coming soon |

### Coding

- Winner: Not comparable
- LFM2.5-24B-A2B public-lane score: 28.5 (Estimated · #98/149)
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| SciCode | 32.7% | Coming soon | Coming soon |
| SWE-bench Verified | 51% | 60.8% | Ternary Bonsai 2 27B |
| LiveCodeBench v6 | Coming soon | 90.1% | Coming soon |
| BigCodeBench | Coming soon | 58.1% | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 52.8% | Coming soon |

### Reasoning

- Winner: Not comparable
- LFM2.5-24B-A2B public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 78.8 (Unranked · 1 rankable row)

### Multimodal & Grounded

- Winner: Not comparable
- LFM2.5-24B-A2B public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| CharXiv (overall) | Coming soon | 80.0% | Coming soon |
| A-OKVQA | Coming soon | 86.8% | Coming soon |
| OmniDocBench 1.6 | Coming soon | 89.1% | Coming soon |
| RealWorldQA | Coming soon | 80.1% | Coming soon |
| OCRBench V2 | Coming soon | 56.9% | Coming soon |

### Knowledge

- Winner: Not comparable
- LFM2.5-24B-A2B public-lane score: 40.8 (Estimated · #112/181)
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | LFM2.5-24B-A2B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 74.4% | 85.8% | Ternary Bonsai 2 27B |
| GPQA-D | 74.4% | 85.8% | Ternary Bonsai 2 27B |
| HLE | 7.4% | Coming soon | Coming soon |
| MMLU-Redux | Coming soon | 89.1% | Coming soon |

### Instruction Following

- Winner: LFM2.5-24B-A2B
- LFM2.5-24B-A2B public-lane score: 75.6 (#61/128)
- Ternary Bonsai 2 27B public-lane score: 74 (#66/128)

| Benchmark | LFM2.5-24B-A2B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 96.8% | 91.3% | LFM2.5-24B-A2B |
| IFBench | 74.7% | 74% | LFM2.5-24B-A2B |

### Mathematics

- Winner: Not comparable
- LFM2.5-24B-A2B public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 86.2 (Unranked · 4 rankable rows)

| Benchmark | LFM2.5-24B-A2B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| MATH-500 | 96.0% | 98.8% | Ternary Bonsai 2 27B |
| GSM8K | Coming soon | 96.7% | Coming soon |
| AIME 2025 | Coming soon | 95% | Coming soon |
| AIME26 | Coming soon | 95.8% | Coming soon |

## FAQ

### Which is better overall, LFM2.5-24B-A2B or Ternary Bonsai 2 27B?

Ternary Bonsai 2 27B has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between LFM2.5-24B-A2B and Ternary Bonsai 2 27B?

The widest category gap is in instruction following, where the averages are 75.6 for LFM2.5-24B-A2B and 74 for Ternary Bonsai 2 27B.

### How many benchmarks does LFM2.5-24B-A2B cover on BenchLM?

LFM2.5-24B-A2B currently has 13 sourced benchmark scores on BenchLM.

### How many benchmarks does Ternary Bonsai 2 27B cover on BenchLM?

Ternary Bonsai 2 27B currently has 21 sourced benchmark scores on BenchLM.

## Related Comparisons

- [LFM2.5-24B-A2B vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-lfm2-5-24b-a2b)
- [Ternary Bonsai 2 27B vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-ternary-bonsai-2-27b)
- [LFM2.5-24B-A2B vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-lfm2-5-24b-a2b)
- [Ternary Bonsai 2 27B vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-ternary-bonsai-2-27b)

## Explore More

- [LFM2.5-24B-A2B profile](/models/lfm2-5-24b-a2b)
- [Ternary Bonsai 2 27B profile](/models/ternary-bonsai-2-27b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)