# GLM-5.3-Flash vs Ternary Bonsai 2 27B

> Side-by-side benchmark comparison for GLM-5.3-Flash and Ternary Bonsai 2 27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-3-flash-vs-ternary-bonsai-2-27b
- Last updated: September 18, 2026

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: GLM-5.3-Flash 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.
- GLM-5.3-Flash has the larger published context window at 1M.

## Model Snapshot

| Property | GLM-5.3-Flash | Ternary Bonsai 2 27B |
|----------|----------|----------|
| Creator | Z.AI | Prism ML |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Independent public score (not head-to-head) | 66.06 | 50.78 |
| Benchmarks Covered | 19 | 21 |
| Pricing (input/output) | $0.00 / $0.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: 60.2 (Supported · #19/154)
- Ternary Bonsai 2 27B public-lane score: 49.9 (Estimated · #59/154)

| Benchmark | GLM-5.3-Flash | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | 52.8% | GLM-5.3-Flash |
| Toolathlon-Verified | 78.4% | Coming soon | Coming soon |
| AutomationBench | 48.8% | Coming soon | Coming soon |
| Agents' Last Exam | 26.3% | Coming soon | Coming soon |
| HLE w/ tools | 55.3% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 62.9% | 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
- GLM-5.3-Flash public-lane score: 58.1 (Supported · #28/154)
- Ternary Bonsai 2 27B public-lane score: 49.9 (Estimated · #64/154)

| Benchmark | GLM-5.3-Flash | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | 52.8% | GLM-5.3-Flash |
| DeepSWE | 63.4% | Coming soon | Coming soon |
| NL2Repo | 56.3% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 80.5% | Coming soon | Coming soon |
| SWE-bench (Vals) | 92.0% | Coming soon | Coming soon |
| OpenHarmony Bench | 57.3% | 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
- GLM-5.3-Flash public-lane score: 80.4 (#10/48)
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | GLM-5.3-Flash | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 62.4% | Coming soon | Coming soon |
| CharXiv | 89.4% | Coming soon | Coming soon |
| Chartography (tools) | 78.0% | Coming soon | Coming soon |
| BabyVision | 53.4% | Coming soon | Coming soon |
| MMVU | 80.5% | 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 |

### Reasoning

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 73.9 (Unranked · 1 rankable row)

### Knowledge

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: 66.1 (Supported · #21/184)
- Ternary Bonsai 2 27B public-lane score: 50.6 (Estimated · #78/184)

| Benchmark | GLM-5.3-Flash | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 86.4% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.1% | 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
- GLM-5.3-Flash public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 71 (#64/124)

| Benchmark | GLM-5.3-Flash | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 91.3% | Coming soon |
| IFBench | Coming soon | 74% | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- GLM-5.3-Flash public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 76.8 (Unranked · 4 rankable rows)

| Benchmark | GLM-5.3-Flash | 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 GLM-5.3-Flash 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

- [GLM-5.3-Flash vs GLM-5.3](/compare/glm-5-3-vs-glm-5-3-flash)
- [Ternary Bonsai 2 27B vs GLM-5.3](/compare/glm-5-3-vs-ternary-bonsai-2-27b)
- [GLM-5.3-Flash vs GLM-5.2](/compare/glm-5-2-vs-glm-5-3-flash)
- [Ternary Bonsai 2 27B vs GLM-5.2](/compare/glm-5-2-vs-ternary-bonsai-2-27b)

## Explore More

- [GLM-5.3-Flash profile](/models/glm-5-3-flash)
- [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)