# Laguna S 2.1 vs Ornith-1.5-35B-A3B

> Side-by-side benchmark comparison for Laguna S 2.1 and Ornith-1.5-35B-A3B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/laguna-s-2-1-vs-ornith-1-5-35b-a3b
- Last updated: October 2, 2026

- Shared sourced benchmarks: 6
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Laguna S 2.1 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- Laguna S 2.1 has the higher overall point estimate 53 to 32.61. Conditional score ranges do not establish rank confidence.
- The biggest single benchmark swing is DeepSWE in Coding, with scores of 40.4% and 22.0%.
- Ornith-1.5-35B-A3B is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Laguna S 2.1 also has the larger context window at 1M.

## Model Snapshot

| Property | Laguna S 2.1 | Ornith-1.5-35B-A3B |
|----------|----------|----------|
| Creator | Poolside | Ornith AI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Overall Score | null | 32.61 |
| Benchmarks Covered | 6 | 18 |
| Pricing (input/output) | $0.10 / $0.20 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Not comparable
- Laguna S 2.1 public-lane score: Coming soon
- Ornith-1.5-35B-A3B public-lane score: 23.5 (Estimated · #95/119)

| Benchmark | Laguna S 2.1 | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 70.2% | 67.8% | Laguna S 2.1 |
| Toolathlon-Verified | 49.7% | 48.7% | Laguna S 2.1 |
| HLE w/ tools | Coming soon | 33.4% | Coming soon |
| MCP Atlas | Coming soon | 70.2% | Coming soon |
| WideResearch | Coming soon | 67.8% | Coming soon |
| BrowseComp | Coming soon | 67.6% | Coming soon |
| Claw-Eval | Coming soon | 72.5% | Coming soon |

### Coding

- Winner: Not comparable
- Laguna S 2.1 public-lane score: Coming soon
- Ornith-1.5-35B-A3B public-lane score: 24 (Estimated · #110/144)

| Benchmark | Laguna S 2.1 | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 70.2% | 67.8% | Laguna S 2.1 |
| SWE Multilingual | 78.5% | 71.4% | Laguna S 2.1 |
| SWE-bench Pro | 59.4% | 59.6% | Ornith-1.5-35B-A3B |
| DeepSWE | 40.4% | 22.0% | Laguna S 2.1 |
| SWE-bench Verified | Coming soon | 79% | Coming soon |
| frontierBench | Coming soon | 5.1% | Coming soon |
| NL2Repo | Coming soon | 46.2% | Coming soon |

### Knowledge

- Winner: Not comparable
- Laguna S 2.1 public-lane score: Coming soon
- Ornith-1.5-35B-A3B public-lane score: 34.5 (Estimated · #119/171)

| Benchmark | Laguna S 2.1 | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | Coming soon | 89.2% | Coming soon |
| GPQA-D | Coming soon | 89.2% | Coming soon |
| HLE | Coming soon | 25.6% | Coming soon |
| HLE w/o tools | Coming soon | 25.6% | Coming soon |

## FAQ

### Which is better overall, Laguna S 2.1 or Ornith-1.5-35B-A3B?

Laguna S 2.1 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### How many benchmarks does Laguna S 2.1 cover on BenchLM?

Laguna S 2.1 currently has 6 sourced benchmark scores on BenchLM.

### How many benchmarks does Ornith-1.5-35B-A3B cover on BenchLM?

Ornith-1.5-35B-A3B currently has 18 sourced benchmark scores on BenchLM.

## Related Comparisons

- [Laguna S 2.1 vs Laguna M.1](/compare/laguna-m-1-vs-laguna-s-2-1)
- [Ornith-1.5-35B-A3B vs Laguna M.1](/compare/laguna-m-1-vs-ornith-1-5-35b-a3b)
- [Laguna S 2.1 vs Laguna XS.2](/compare/laguna-s-2-1-vs-laguna-xs-2)
- [Ornith-1.5-35B-A3B vs Laguna XS.2](/compare/laguna-xs-2-vs-ornith-1-5-35b-a3b)

## Explore More

- [Laguna S 2.1 profile](/models/laguna-s-2-1)
- [Ornith-1.5-35B-A3B profile](/models/ornith-1-5-35b-a3b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)