# LongCat-2.5 vs Ternary Bonsai 2 27B

> Side-by-side benchmark comparison for LongCat-2.5 and Ternary Bonsai 2 27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/longcat-2-5-vs-ternary-bonsai-2-27b
- Last updated: November 9, 2026

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: LongCat-2.5 and Ternary Bonsai 2 27B 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.
- Ternary Bonsai 2 27B has the lower published output-token price.
- LongCat-2.5 has the larger published context window at 1M.

## Model Snapshot

| Property | LongCat-2.5 | Ternary Bonsai 2 27B |
|----------|----------|----------|
| Creator | Meituan | Prism ML |
| Type | Open Weight | Open Weight |
| Reasoning | Hybrid | Reasoning |
| Context | 1M | 262K |
| Independent public score (not head-to-head) | null | 53.55 |
| Benchmarks Covered | 22 | 21 |
| Pricing (input/output) | $0.30 / $1.20 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- LongCat-2.5 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | LongCat-2.5 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 88.4% | 52.8% | LongCat-2.5 |
| Terminal-Bench 4.0 | 38.50% | Coming soon | Coming soon |
| BrowseComp | 91.9% | Coming soon | Coming soon |
| AutomationBench | 51.8% | Coming soon | Coming soon |
| HLE w/ tools | 63.1% | Coming soon | Coming soon |
| Agents' Last Exam | 38.5% | Coming soon | Coming soon |
| MCP Atlas | 83.1% | Coming soon | Coming soon |
| JobBench | 65.4% | Coming soon | Coming soon |
| skillsBench | 63.3% | Coming soon | Coming soon |
| SpreadsheetBench 2 | 34.9% | Coming soon | Coming soon |
| Claw-Eval | 78.3% | Coming soon | Coming soon |
| τ²-bench results | Coming soon | 80.2% | Coming soon |
| BFCL v3 | Coming soon | 74.9% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- LongCat-2.5 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | LongCat-2.5 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 88.4% | 52.8% | LongCat-2.5 |
| ProgramBench | 25.5% | Coming soon | Coming soon |
| DeepSWE | 64.6% | Coming soon | Coming soon |
| PaperBench | 82.1% | Coming soon | Coming soon |
| SWE-Atlas Codebase QnA | 58.3% | Coming soon | Coming soon |
| NL2Repo | 60.5% | Coming soon | Coming soon |
| LiveCodeBench v6 | Coming soon | 90.1% | Coming soon |
| BigCodeBench | Coming soon | 58.1% | Coming soon |
| SWE-bench Verified | Coming soon | 60.8% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- LongCat-2.5 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | LongCat-2.5 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| Vision2Web | 78.6% | Coming soon | Coming soon |
| CharXiv | 90.2% | Coming soon | Coming soon |
| MathVision w/ Python | 96.5% | Coming soon | Coming soon |
| Video-MME | 85.2% | Coming soon | Coming soon |
| 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: Insufficient shared evidence
- LongCat-2.5 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | LongCat-2.5 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| FrontierScience | 77% | Coming soon | Coming soon |
| MMLU-Redux | Coming soon | 89.1% | Coming soon |
| GPQA | Coming soon | 85.8% | Coming soon |
| GPQA-D | Coming soon | 85.8% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- LongCat-2.5 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 74 (#73/157)

| Benchmark | LongCat-2.5 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 91.3% | Coming soon |
| IFBench | Coming soon | 74% | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- LongCat-2.5 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 82.7 (Unranked · 4 rankable rows)

| Benchmark | LongCat-2.5 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| GSM8K | Coming soon | 96.7% | Coming soon |
| MATH-500 | Coming soon | 98.8% | Coming soon |
| AIME 2025 | Coming soon | 95% | Coming soon |
| AIME26 | Coming soon | 95.8% | Coming soon |

## FAQ

### Is there enough evidence to pick between LongCat-2.5 and Ternary Bonsai 2 27B?

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

- [LongCat-2.5 vs Claude Fable 5.2](/compare/claude-fable-5-2-vs-longcat-2-5)
- [Ternary Bonsai 2 27B vs Claude Fable 5.2](/compare/claude-fable-5-2-vs-ternary-bonsai-2-27b)
- [LongCat-2.5 vs Gemini 4 Carbon](/compare/gemini-4-carbon-vs-longcat-2-5)
- [Ternary Bonsai 2 27B vs Gemini 4 Carbon](/compare/gemini-4-carbon-vs-ternary-bonsai-2-27b)

## Explore More

- [LongCat-2.5 profile](/models/longcat-2-5)
- [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)