# Qwen3.6 Plus vs Ternary Bonsai 2 27B

> Side-by-side benchmark comparison for Qwen3.6 Plus and Ternary Bonsai 2 27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/qwen3-6-plus-vs-ternary-bonsai-2-27b
- Last updated: September 18, 2026

- Shared sourced benchmarks: 7
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick Qwen3.6 Plus if you want the stronger benchmark profile. Ternary Bonsai 2 27B only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Qwen3.6 Plus leads overall 60.36 to 50.78.
- The clearest category separation is in mathematics, where the averages are 62 for Qwen3.6 Plus and 76.8 for Ternary Bonsai 2 27B.
- The biggest single benchmark swing is SWE-bench Verified in Coding, with scores of 78.8% and 60.8%.
- Ternary Bonsai 2 27B is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Qwen3.6 Plus also has the larger context window at 1M.

## Model Snapshot

| Property | Qwen3.6 Plus | Ternary Bonsai 2 27B |
|----------|----------|----------|
| Creator | Alibaba | Prism ML |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Overall Score | 60.36 | 50.78 |
| Benchmarks Covered | 48 | 21 |
| Pricing (input/output) | Pricing unavailable / Pricing unavailable | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- Qwen3.6 Plus public-lane score: 35.9 (Supported · #136/154)
- Ternary Bonsai 2 27B public-lane score: 49.9 (Estimated · #59/154)

| Benchmark | Qwen3.6 Plus | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 61.6% | Coming soon | Coming soon |
| Claw-Eval | 58.8% | Coming soon | Coming soon |
| QwenClawBench | 57.2% | Coming soon | Coming soon |
| τ³-bench results | 70.7% | Coming soon | Coming soon |
| VITA-Bench | 44.3% | Coming soon | Coming soon |
| DeepPlanning | 41.5% | Coming soon | Coming soon |
| Toolathlon | 39.8% | Coming soon | Coming soon |
| MCP Atlas | 48.2% | Coming soon | Coming soon |
| MCP-Tasks | 74.1% | Coming soon | Coming soon |
| WideResearch | 74.3% | Coming soon | Coming soon |
| Gert Labs | 50.60% | Coming soon | Coming soon |
| ResearchClawBench | 18.0% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 53.2% | 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: Coming soon
- Qwen3.6 Plus public-lane score: 46.8 (Supported · #83/154)
- Ternary Bonsai 2 27B public-lane score: 49.9 (Estimated · #64/154)

| Benchmark | Qwen3.6 Plus | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 78.8% | 60.8% | Qwen3.6 Plus |
| SWE-bench Pro | 56.6% | Coming soon | Coming soon |
| SWE Multilingual | 73.8% | Coming soon | Coming soon |
| LiveCodeBench v6 | 87.1% | 90.1% | Ternary Bonsai 2 27B |
| Vibe Code Bench | 25.56% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 86.0% | Coming soon | Coming soon |
| SWE-bench (Vals) | 73.4% | Coming soon | Coming soon |
| BigCodeBench | Coming soon | 58.1% | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 52.8% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- Qwen3.6 Plus public-lane score: 66.2 (#23/48)
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | Qwen3.6 Plus | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| MMMU | 86.0% | Coming soon | Coming soon |
| MMMU-Pro | 78.8% | Coming soon | Coming soon |
| MathVision | 88.0% | Coming soon | Coming soon |
| VideoMMMU | 84.0% | Coming soon | Coming soon |
| ScreenSpot Pro | 68.2% | Coming soon | Coming soon |
| CharXiv | 81.5% | Coming soon | Coming soon |
| V* | 96.9% | 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: Coming soon
- Qwen3.6 Plus public-lane score: 60.1 (Unranked · 4 rankable rows)
- Ternary Bonsai 2 27B public-lane score: 73.9 (Unranked · 1 rankable row)

| Benchmark | Qwen3.6 Plus | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| AI-Needle | 68.3% | Coming soon | Coming soon |
| LongBench v2 | 62% | Coming soon | Coming soon |

### Knowledge

- Winner: Coming soon
- Qwen3.6 Plus public-lane score: 53.9 (Supported · #61/184)
- Ternary Bonsai 2 27B public-lane score: 50.6 (Estimated · #78/184)

| Benchmark | Qwen3.6 Plus | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 90.4% | 85.8% | Qwen3.6 Plus |
| SuperGPQA | 71.6% | Coming soon | Coming soon |
| MMLU-Pro | 88.5% | Coming soon | Coming soon |
| MMLU-Redux | 94.5% | 89.1% | Qwen3.6 Plus |
| C-Eval | 93.3% | Coming soon | Coming soon |
| HLE | 28.8% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 87.4% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 87.7% | Coming soon | Coming soon |
| GPQA-D | Coming soon | 85.8% | Coming soon |

### Instruction Following

- Winner: Qwen3.6 Plus
- Qwen3.6 Plus public-lane score: 82.5 (#50/124)
- Ternary Bonsai 2 27B public-lane score: 71 (#64/124)

| Benchmark | Qwen3.6 Plus | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 94.3% | 91.3% | Qwen3.6 Plus |
| IFBench | 75.8% | 74% | Qwen3.6 Plus |

### Multilingual

- Winner: Coming soon
- Qwen3.6 Plus public-lane score: 69.7 (#4/12)
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | Qwen3.6 Plus | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | 84.7% | Coming soon | Coming soon |
| NOVA-63 | 57.9% | Coming soon | Coming soon |

### Mathematics

- Winner: Coming soon
- Qwen3.6 Plus public-lane score: 62 (#5/7)
- Ternary Bonsai 2 27B public-lane score: 76.8 (Unranked · 4 rankable rows)

| Benchmark | Qwen3.6 Plus | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 95.3% | 95.8% | Ternary Bonsai 2 27B |
| HMMT Feb 2025 | 96.7% | Coming soon | Coming soon |
| HMMT Nov 2025 | 94.6% | Coming soon | Coming soon |
| HMMT Feb 2026 | 87.8% | Coming soon | Coming soon |
| MMAnswerBench | 83.8% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 26.207% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 8.333% | Coming soon | Coming soon |
| GSM8K | Coming soon | 96.7% | Coming soon |
| MATH-500 | Coming soon | 98.8% | Coming soon |
| AIME 2025 | Coming soon | 95% | Coming soon |

## FAQ

### Which is better overall, Qwen3.6 Plus or Ternary Bonsai 2 27B?

Qwen3.6 Plus is ahead overall on BenchLM right now.

### Where is the biggest gap between Qwen3.6 Plus and Ternary Bonsai 2 27B?

The widest category gap is in mathematics, where the averages are 62 for Qwen3.6 Plus and 76.8 for Ternary Bonsai 2 27B.

### How many benchmarks does Qwen3.6 Plus cover on BenchLM?

Qwen3.6 Plus currently has 48 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

- [Qwen3.6 Plus vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-qwen3-6-plus)
- [Ternary Bonsai 2 27B vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-ternary-bonsai-2-27b)
- [Qwen3.6 Plus vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-6-plus)
- [Ternary Bonsai 2 27B vs GPT-6 Astra](/compare/gpt-6-astra-vs-ternary-bonsai-2-27b)

## Explore More

- [Qwen3.6 Plus profile](/models/qwen3-6-plus)
- [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)