# Bev / Bonsai 27B vs DeepSeek V4.1 Flash 1017

> Side-by-side benchmark comparison for Bev / Bonsai 27B and DeepSeek V4.1 Flash 1017 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/bev-bonsai-27b-vs-deepseek-v4-1-flash
- Last updated: October 19, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: Bev / Bonsai 27B and DeepSeek V4.1 Flash 1017 share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Bev / Bonsai 27B has the lower published output-token price.
- DeepSeek V4.1 Flash 1017 has the larger published context window at 1M.

## Model Snapshot

| Property | Bev / Bonsai 27B | DeepSeek V4.1 Flash 1017 |
|----------|----------|----------|
| Creator | Reza Sayar | DeepSeek |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Reasoning |
| Context | null | 1M |
| Independent public score (not head-to-head) | null | 65.67 |
| Benchmarks Covered | 1 | 30 |
| Pricing (input/output) | Pricing unavailable / Pricing unavailable | $0.30 / $1.20 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Bev / Bonsai 27B public-lane score: Coming soon
- DeepSeek V4.1 Flash 1017 public-lane score: 61.7 (Supported · #24/130)

| Benchmark | Bev / Bonsai 27B | DeepSeek V4.1 Flash 1017 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | Coming soon | 90.6% | Coming soon |
| terminalBench3 | Coming soon | 30% | Coming soon |
| Terminal-Bench 4.0 | Coming soon | 42.30% | Coming soon |
| CyberGym | Coming soon | 88.1% | Coming soon |
| ExploitGym | Coming soon | 15.3% | Coming soon |
| HLE w/ tools | Coming soon | 63.9% | Coming soon |
| AutomationBench | Coming soon | 60.5% | Coming soon |
| Agents' Last Exam | Coming soon | 35.4% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 74.5% | Coming soon |
| CWE-bench v1 | Coming soon | 55.0% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Bev / Bonsai 27B public-lane score: Coming soon
- DeepSeek V4.1 Flash 1017 public-lane score: 60.9 (Supported · #18/151)

| Benchmark | Bev / Bonsai 27B | DeepSeek V4.1 Flash 1017 | Winner |
|-----------|-----------|-----------|--------|
| Codeforces | Coming soon | 3471.0 | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 90.6% | Coming soon |
| terminalBench3 | Coming soon | 30% | Coming soon |
| DeepSWE | Coming soon | 77.0% | Coming soon |
| ProgramBench | Coming soon | 29.1% | Coming soon |
| NL2Repo | Coming soon | 68.2% | Coming soon |
| OpenHarmony Bench | Coming soon | 60.3% | Coming soon |
| Bug Hunt Bench | Coming soon | 39.1 fixes | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Bev / Bonsai 27B public-lane score: Coming soon
- DeepSeek V4.1 Flash 1017 public-lane score: 82.5 (Unranked · 4 rankable rows)

| Benchmark | Bev / Bonsai 27B | DeepSeek V4.1 Flash 1017 | Winner |
|-----------|-----------|-----------|--------|
| JevBench 1.5 | 15.77 | 6.65 | Bev / Bonsai 27B |
| STEMBench | Coming soon | 2.49 | Coming soon |
| JevBench 1.4 | Coming soon | 4.77 | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Bev / Bonsai 27B public-lane score: Coming soon
- DeepSeek V4.1 Flash 1017 public-lane score: 77.9 (Unranked · 1 rankable row)

| Benchmark | Bev / Bonsai 27B | DeepSeek V4.1 Flash 1017 | Winner |
|-----------|-----------|-----------|--------|
| Chartography (tools) | Coming soon | 83.0% | Coming soon |
| BabyVision w/ Python | Coming soon | 92.5% | Coming soon |
| ZeroBench w/ Python | Coming soon | 51.0% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Bev / Bonsai 27B public-lane score: Coming soon
- DeepSeek V4.1 Flash 1017 public-lane score: 65.2 (Supported · #36/186)

| Benchmark | Bev / Bonsai 27B | DeepSeek V4.1 Flash 1017 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | Coming soon | 90.9% | Coming soon |
| GPQA-D | Coming soon | 90.9% | Coming soon |
| HLE | Coming soon | 42.6% | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- Bev / Bonsai 27B public-lane score: Coming soon
- DeepSeek V4.1 Flash 1017 public-lane score: 70.1 (Unranked · 3 rankable rows)

| Benchmark | Bev / Bonsai 27B | DeepSeek V4.1 Flash 1017 | Winner |
|-----------|-----------|-----------|--------|
| Apex | Coming soon | 65.6% | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 67.368% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 26.829% | Coming soon |

## FAQ

### Is there enough evidence to pick between Bev / Bonsai 27B and DeepSeek V4.1 Flash 1017?

Not yet. The models share only 1 sourced benchmark row, 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

- [Bev / Bonsai 27B vs Claude Opus 5.5](/compare/bev-bonsai-27b-vs-claude-opus-5-5)
- [DeepSeek V4.1 Flash 1017 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-deepseek-v4-1-flash)
- [Bev / Bonsai 27B vs GPT-6.1 Sol](/compare/bev-bonsai-27b-vs-gpt-6-1-sol)
- [DeepSeek V4.1 Flash 1017 vs GPT-6.1 Sol](/compare/deepseek-v4-1-flash-vs-gpt-6-1-sol)

## Explore More

- [Bev / Bonsai 27B profile](/models/bev-bonsai-27b)
- [DeepSeek V4.1 Flash 1017 profile](/models/deepseek-v4-1-flash)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)