# Qwen3.7 Max vs Ternary Bonsai 27B

> Side-by-side benchmark comparison for Qwen3.7 Max and Ternary Bonsai 27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/qwen3-7-max-vs-ternary-bonsai-27b
- Last updated: September 10, 2026

- Shared sourced benchmarks: 0
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

No benchmark verdict yet: there is no shared sourced benchmark row for Qwen3.7 Max and Ternary Bonsai 27B.

## Summary

- Qwen3.7 Max and Ternary Bonsai 27B do not currently share a sourced benchmark row. The mirror therefore compares metadata, pricing, context windows, and each model's separately reported coverage without naming a benchmark winner.

## Model Snapshot

| Property | Qwen3.7 Max | Ternary Bonsai 27B |
|----------|----------|----------|
| Creator | Alibaba | Prism ML |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Independent public score (not head-to-head) | 67.08 | null |
| Benchmarks Covered | 41 | 0 |
| Pricing (input/output) | Pricing unavailable / Pricing unavailable | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Qwen3.7 Max public-lane score: 41.2 (Supported · #110/152)
- Ternary Bonsai 27B public-lane score: Coming soon

| Benchmark | Qwen3.7 Max | Ternary Bonsai 27B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 69.7% | Coming soon | Coming soon |
| QwenClawBench | 64.3% | Coming soon | Coming soon |
| Claw-Eval | 65.2% | Coming soon | Coming soon |
| BFCL v4 | 75.0% | Coming soon | Coming soon |
| MCP Atlas | 76.4% | Coming soon | Coming soon |
| VITA-Bench | 47.9% | Coming soon | Coming soon |
| HLE w/ tools | 53.5% | Coming soon | Coming soon |
| Gert Labs | 64.27% | Coming soon | Coming soon |
| ResearchClawBench | 18.7% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 61.0% | Coming soon | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Qwen3.7 Max public-lane score: 49.3 (Supported · #64/151)
- Ternary Bonsai 27B public-lane score: Coming soon

| Benchmark | Qwen3.7 Max | Ternary Bonsai 27B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 80.4% | Coming soon | Coming soon |
| SWE-bench Pro | 60.6% | Coming soon | Coming soon |
| SWE Multilingual | 78.3% | Coming soon | Coming soon |
| NL2Repo | 47.2% | Coming soon | Coming soon |
| SciCode | 53.5% | Coming soon | Coming soon |
| LiveCodeBench | 91.6% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 69.7% | Coming soon | Coming soon |
| OpenHarmony Bench | 53.4% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 87.1% | Coming soon | Coming soon |
| SWE-bench (Vals) | 68.8% | Coming soon | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Qwen3.7 Max public-lane score: 75.1 (Unranked · 3 rankable rows)
- Ternary Bonsai 27B public-lane score: Coming soon

| Benchmark | Qwen3.7 Max | Ternary Bonsai 27B | Winner |
|-----------|-----------|-----------|--------|
| MRCRv2 | 90.4% | Coming soon | Coming soon |
| CritPt | 13.4% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Qwen3.7 Max public-lane score: 61.7 (Supported · #28/183)
- Ternary Bonsai 27B public-lane score: Coming soon

| Benchmark | Qwen3.7 Max | Ternary Bonsai 27B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 92.4% | Coming soon | Coming soon |
| GPQA-D | 92.4% | Coming soon | Coming soon |
| HLE | 41.4% | Coming soon | Coming soon |
| MMLU-Pro | 89.6% | Coming soon | Coming soon |
| MMLU-Redux | 95% | Coming soon | Coming soon |
| SuperGPQA | 73.6% | Coming soon | Coming soon |
| MMMLU | 90.3% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 90.2% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 89.3% | Coming soon | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Qwen3.7 Max public-lane score: 91.1 (#16/123)
- Ternary Bonsai 27B public-lane score: Coming soon

| Benchmark | Qwen3.7 Max | Ternary Bonsai 27B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 94.3% | Coming soon | Coming soon |
| IFBench | 79.1% | Coming soon | Coming soon |

### Multilingual

- Winner: Insufficient shared evidence
- Qwen3.7 Max public-lane score: 100 (#1/12)
- Ternary Bonsai 27B public-lane score: Coming soon

| Benchmark | Qwen3.7 Max | Ternary Bonsai 27B | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | 87% | Coming soon | Coming soon |
| NOVA-63 | 59.0% | Coming soon | Coming soon |
| INCLUDE | 86.2% | Coming soon | Coming soon |
| MAXIFE | 89.2% | Coming soon | Coming soon |
| PolyMath | 86.5% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- Qwen3.7 Max public-lane score: 82.1 (Unranked · 3 rankable rows)
- Ternary Bonsai 27B public-lane score: Coming soon

| Benchmark | Qwen3.7 Max | Ternary Bonsai 27B | Winner |
|-----------|-----------|-----------|--------|
| HMMT Feb 2026 | 97.1% | Coming soon | Coming soon |
| IMOAnswerBench | 90.0% | Coming soon | Coming soon |
| Apex | 44.5% | Coming soon | Coming soon |

## FAQ

### Can I compare Qwen3.7 Max and Ternary Bonsai 27B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but sourced benchmark coverage is still incomplete for a fair score-level comparison.

### Why does this page show "coming soon" values?

BenchLM only calls winners when public benchmark coverage is available on both sides of the comparison.

## Related Comparisons

- [Qwen3.7 Max vs Ternary Bonsai 1.7B](/compare/qwen3-7-max-vs-ternary-bonsai-1-7b)
- [Ternary Bonsai 27B vs Ternary Bonsai 1.7B](/compare/ternary-bonsai-1-7b-vs-ternary-bonsai-27b)
- [Qwen3.7 Max vs Ternary Bonsai 4B](/compare/qwen3-7-max-vs-ternary-bonsai-4b)
- [Ternary Bonsai 27B vs Ternary Bonsai 4B](/compare/ternary-bonsai-27b-vs-ternary-bonsai-4b)

## Explore More

- [Qwen3.7 Max profile](/models/qwen3-7-max)
- [Ternary Bonsai 27B profile](/models/ternary-bonsai-27b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)