# Claude Opus 4.7 vs Ternary Bonsai 2 27B

> Side-by-side benchmark comparison for Claude Opus 4.7 and Ternary Bonsai 2 27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/claude-opus-4-7-vs-ternary-bonsai-2-27b
- Last updated: September 18, 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 Claude Opus 4.7 and Ternary Bonsai 2 27B.

## Summary

- Claude Opus 4.7 and Ternary Bonsai 2 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 | Claude Opus 4.7 | Ternary Bonsai 2 27B |
|----------|----------|----------|
| Creator | Anthropic | Prism ML |
| Type | Proprietary | Open Weight |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 1M | 262K |
| Independent public score (not head-to-head) | 70.6 | 50.78 |
| Benchmarks Covered | 14 | 21 |
| Pricing (input/output) | $5.00 / $25.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Claude Opus 4.7 public-lane score: 55.9 (Supported · #36/154)
- Ternary Bonsai 2 27B public-lane score: 49.9 (Estimated · #59/154)

| Benchmark | Claude Opus 4.7 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| Gert Labs | 65.59% | Coming soon | Coming soon |
| ResearchClawBench | 20.7% | Coming soon | Coming soon |
| OSWorld 2.0 | 13.9% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 68.5% | Coming soon | Coming soon |
| ApprenticeBench | 7% | 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: Insufficient shared evidence
- Claude Opus 4.7 public-lane score: 62.7 (Supported · #14/154)
- Ternary Bonsai 2 27B public-lane score: 49.9 (Estimated · #64/154)

| Benchmark | Claude Opus 4.7 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| Vibe Code Bench | 71.00% | Coming soon | Coming soon |
| React Native Evals | 82.8% | Coming soon | Coming soon |
| FrontierCode 1.1 Main | 38.5% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 85.1% | Coming soon | Coming soon |
| SWE-bench (Vals) | 82.0% | 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 |
| Terminal-Bench 2.1 | Coming soon | 52.8% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Claude Opus 4.7 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: Coming soon

| Benchmark | Claude Opus 4.7 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| 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
- Claude Opus 4.7 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 73.9 (Unranked · 1 rankable row)

### Knowledge

- Winner: Insufficient shared evidence
- Claude Opus 4.7 public-lane score: 64.8 (Estimated · #25/184)
- Ternary Bonsai 2 27B public-lane score: 50.6 (Estimated · #78/184)

| Benchmark | Claude Opus 4.7 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 90.2% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 89.9% | 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
- Claude Opus 4.7 public-lane score: Coming soon
- Ternary Bonsai 2 27B public-lane score: 71 (#64/124)

| Benchmark | Claude Opus 4.7 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 91.3% | Coming soon |
| IFBench | Coming soon | 74% | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- Claude Opus 4.7 public-lane score: 60.6 (Unranked · 2 rankable rows)
- Ternary Bonsai 2 27B public-lane score: 76.8 (Unranked · 4 rankable rows)

| Benchmark | Claude Opus 4.7 | Ternary Bonsai 2 27B | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 43.793% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 22.917% | 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 |
| AIME26 | Coming soon | 95.8% | Coming soon |

## FAQ

### Can I compare Claude Opus 4.7 and Ternary Bonsai 2 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

- [Claude Opus 4.7 vs Claude Opus 4.7 (Adaptive)](/compare/claude-opus-4-7-vs-claude-opus-4-7-adaptive)
- [Ternary Bonsai 2 27B vs Claude Opus 4.7 (Adaptive)](/compare/claude-opus-4-7-adaptive-vs-ternary-bonsai-2-27b)
- [Claude Opus 4.7 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-claude-opus-4-7)
- [Ternary Bonsai 2 27B vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-ternary-bonsai-2-27b)

## Explore More

- [Claude Opus 4.7 profile](/models/claude-opus-4-7)
- [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)
