# Muse Glimmer 30B vs Ternary Bonsai 2 27B

> Side-by-side benchmark comparison for Muse Glimmer 30B and Ternary Bonsai 2 27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/muse-glimmer-30b-vs-ternary-bonsai-2-27b
- Last updated: September 18, 2026

- Shared sourced benchmarks: 4
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick Ternary Bonsai 2 27B if you want the stronger benchmark profile. Muse Glimmer 30B only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Ternary Bonsai 2 27B leads overall 50.78 to 45.08.
- The clearest category separation is in instruction following, where the averages are 77.7 for Muse Glimmer 30B and 71 for Ternary Bonsai 2 27B.
- The biggest single benchmark swing is SWE-bench Verified in Coding, with scores of 76% and 60.8%.
- Ternary Bonsai 2 27B also has the larger context window at 262K.

## Model Snapshot

| Property | Muse Glimmer 30B | Ternary Bonsai 2 27B |
|----------|----------|----------|
| Creator | Meta | Prism ML |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 131K | 262K |
| Overall Score | 45.08 | 50.78 |
| Benchmarks Covered | 14 | 21 |
| Pricing (input/output) | $0.00 / $0.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- Muse Glimmer 30B public-lane score: 43.3 (Estimated · #100/154)
- Ternary Bonsai 2 27B public-lane score: 49.9 (Estimated · #59/154)

| Benchmark | Muse Glimmer 30B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| MCP Atlas | 75.5% | Coming soon | Coming soon |
| DeepSearchQA | 74.6% | Coming soon | Coming soon |
| skillsBench | 44.3% | Coming soon | Coming soon |
| OSWorld-Verified | 65.9% | 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
- Muse Glimmer 30B public-lane score: 48.5 (Estimated · #71/154)
- Ternary Bonsai 2 27B public-lane score: 49.9 (Estimated · #64/154)

| Benchmark | Muse Glimmer 30B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 51.2% | Coming soon | Coming soon |
| SWE-bench Verified | 76% | 60.8% | Muse Glimmer 30B |
| Terminal-Bench 2.1 | 51.7% | 52.8% | Ternary Bonsai 2 27B |
| SciCode | 43.6% | Coming soon | Coming soon |
| LiveCodeBench v6 | Coming soon | 90.1% | Coming soon |
| BigCodeBench | Coming soon | 58.1% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- Muse Glimmer 30B public-lane score: 46.3 (#40/48)
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | Muse Glimmer 30B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| CharXiv | 78.8% | Coming soon | Coming soon |
| ScreenSpot Pro | 75.4% | Coming soon | Coming soon |
| OmniDocBench 1.5 | 75.8% | Coming soon | Coming soon |
| MMMU-Pro | 74% | 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
- Muse Glimmer 30B public-lane score: 78.3 (Unranked · 2 rankable rows)
- Ternary Bonsai 2 27B public-lane score: 73.9 (Unranked · 1 rankable row)

### Knowledge

- Winner: Coming soon
- Muse Glimmer 30B public-lane score: 47.3 (Estimated · #99/184)
- Ternary Bonsai 2 27B public-lane score: 50.6 (Estimated · #78/184)

| Benchmark | Muse Glimmer 30B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| 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: Muse Glimmer 30B
- Muse Glimmer 30B public-lane score: 77.7 (#55/124)
- Ternary Bonsai 2 27B public-lane score: 71 (#64/124)

| Benchmark | Muse Glimmer 30B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| IFBench | 77% | 74% | Muse Glimmer 30B |
| IFEval | Coming soon | 91.3% | Coming soon |

### Mathematics

- Winner: Coming soon
- Muse Glimmer 30B public-lane score: 75.4 (Unranked · 1 rankable row)
- Ternary Bonsai 2 27B public-lane score: 76.8 (Unranked · 4 rankable rows)

| Benchmark | Muse Glimmer 30B | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 94.7% | 95.8% | Ternary Bonsai 2 27B |
| 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, Muse Glimmer 30B or Ternary Bonsai 2 27B?

Ternary Bonsai 2 27B is ahead overall on BenchLM right now.

### Where is the biggest gap between Muse Glimmer 30B and Ternary Bonsai 2 27B?

The widest category gap is in instruction following, where the averages are 77.7 for Muse Glimmer 30B and 71 for Ternary Bonsai 2 27B.

### How many benchmarks does Muse Glimmer 30B cover on BenchLM?

Muse Glimmer 30B currently has 14 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

- [Muse Glimmer 30B vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-muse-glimmer-30b)
- [Ternary Bonsai 2 27B vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-ternary-bonsai-2-27b)
- [Muse Glimmer 30B vs GPT-6 Astra](/compare/gpt-6-astra-vs-muse-glimmer-30b)
- [Ternary Bonsai 2 27B vs GPT-6 Astra](/compare/gpt-6-astra-vs-ternary-bonsai-2-27b)

## Explore More

- [Muse Glimmer 30B profile](/models/muse-glimmer-30b)
- [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)