# GPT-5.6 Sol vs Ornith-1.5-35B-A3B

> Side-by-side benchmark comparison for GPT-5.6 Sol and Ornith-1.5-35B-A3B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-6-sol-vs-ornith-1-5-35b-a3b
- Last updated: October 2, 2026

- Shared sourced benchmarks: 7
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

GPT-5.6 Sol leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GPT-5.6 Sol has the higher overall point estimate 78.95 to 32.61. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in coding, where the averages are 70.5 for GPT-5.6 Sol and 24 for Ornith-1.5-35B-A3B.
- The biggest single benchmark swing is DeepSWE in Coding, with scores of 72.7% 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.
- GPT-5.6 Sol also has the larger context window at 1.05M.

## Model Snapshot

| Property | GPT-5.6 Sol | Ornith-1.5-35B-A3B |
|----------|----------|----------|
| Creator | OpenAI | Ornith AI |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1.05M | 262K |
| Overall Score | 78.95 | 32.61 |
| Benchmarks Covered | 39 | 18 |
| Pricing (input/output) | $4.00 / $20.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GPT-5.6 Sol public-lane score: 68.3 (Supported · #7/119)
- Ornith-1.5-35B-A3B public-lane score: 23.5 (Estimated · #95/119)

| Benchmark | GPT-5.6 Sol | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 34.6% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 91.9% | 67.8% | GPT-5.6 Sol |
| BrowseComp | 92.2% | 67.6% | GPT-5.6 Sol |
| OSWorld 2.0 | 62.6% | Coming soon | Coming soon |
| CyberGym | 84.5% | Coming soon | Coming soon |
| ExploitGym | 33.7% | Coming soon | Coming soon |
| Toolathlon | 58% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 85.8% | Coming soon | Coming soon |
| ApprenticeBench | 26% | Coming soon | Coming soon |
| HLE w/ tools | Coming soon | 33.4% | Coming soon |
| MCP Atlas | Coming soon | 70.2% | Coming soon |
| Toolathlon-Verified | Coming soon | 48.7% | Coming soon |
| WideResearch | Coming soon | 67.8% | Coming soon |
| Claw-Eval | Coming soon | 72.5% | Coming soon |

### Coding

- Winner: Directional only
- GPT-5.6 Sol public-lane score: 70.5 (Supported · #8/144)
- Ornith-1.5-35B-A3B public-lane score: 24 (Estimated · #110/144)

| Benchmark | GPT-5.6 Sol | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| Bug Hunt Bench | 42 fixes | Coming soon | Coming soon |
| SWE-bench Pro | 64.6% | 59.6% | GPT-5.6 Sol |
| Terminal-Bench 2.1 | 91.9% | 67.8% | GPT-5.6 Sol |
| DeepSWE | 72.7% | 22.0% | GPT-5.6 Sol |
| FrontierCode 1.1 Extended | 60.6% | Coming soon | Coming soon |
| FrontierSWE v2 | 32.2% | Coming soon | Coming soon |
| CursorBench 3.2 | 67.2% | Coming soon | Coming soon |
| VulcanBench v3 | 87.0% | Coming soon | Coming soon |
| VulcanBench CII v1 | 86.5% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 82.6% | Coming soon | Coming soon |
| SWE-bench (Vals) | 96.2% | Coming soon | Coming soon |
| CursorBench 4.0 | 41.7% | Coming soon | Coming soon |
| PostTrainBench v1.1 | 36.2% | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 79% | Coming soon |
| SWE Multilingual | Coming soon | 71.4% | Coming soon |
| frontierBench | Coming soon | 5.1% | Coming soon |
| NL2Repo | Coming soon | 46.2% | Coming soon |

### Reasoning

- Winner: Not comparable
- GPT-5.6 Sol public-lane score: 72.5 (#15/27)
- Ornith-1.5-35B-A3B public-lane score: Coming soon

| Benchmark | GPT-5.6 Sol | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-2 | 92.5% | Coming soon | Coming soon |
| ARC-AGI-3 | 7.8% | Coming soon | Coming soon |
| GeneBench-Pro | 28.7% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Not comparable
- GPT-5.6 Sol public-lane score: 88.6 (#4/49)
- Ornith-1.5-35B-A3B public-lane score: Coming soon

| Benchmark | GPT-5.6 Sol | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 83% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 84.6% | Coming soon | Coming soon |

### Knowledge

- Winner: Directional only
- GPT-5.6 Sol public-lane score: 78.1 (Supported · #9/171)
- Ornith-1.5-35B-A3B public-lane score: 34.5 (Estimated · #119/171)

| Benchmark | GPT-5.6 Sol | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 94.6% | 89.2% | GPT-5.6 Sol |
| GPQA-D | 94.6% | 89.2% | GPT-5.6 Sol |
| HLE-Verified | 54.5% | Coming soon | Coming soon |
| LABBench2 | 82.1% | Coming soon | Coming soon |
| HealthBench Professional | 60.5% | Coming soon | Coming soon |
| HealthBench Hard | 33.1% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 95.2% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 89.1% | Coming soon | Coming soon |
| HLE | Coming soon | 25.6% | Coming soon |
| HLE w/o tools | Coming soon | 25.6% | Coming soon |

### Instruction Following

- Winner: Not comparable
- GPT-5.6 Sol public-lane score: 87.7 (#27/125)
- Ornith-1.5-35B-A3B public-lane score: Coming soon

| Benchmark | GPT-5.6 Sol | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| Gray Swan IPI (15 attempts) | 27.0% | Coming soon | Coming soon |

### Mathematics

- Winner: Not comparable
- GPT-5.6 Sol public-lane score: 96.8 (Unranked · 3 rankable rows)
- Ornith-1.5-35B-A3B public-lane score: Coming soon

| Benchmark | GPT-5.6 Sol | Ornith-1.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 89% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 89.000% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 83.000% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GPT-5.6 Sol or Ornith-1.5-35B-A3B?

GPT-5.6 Sol has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GPT-5.6 Sol and Ornith-1.5-35B-A3B?

The widest category gap is in coding, where the averages are 70.5 for GPT-5.6 Sol and 24 for Ornith-1.5-35B-A3B.

### How many benchmarks does GPT-5.6 Sol cover on BenchLM?

GPT-5.6 Sol currently has 39 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

- [GPT-5.6 Sol vs GPT-5.6 Terra](/compare/gpt-5-6-sol-vs-gpt-5-6-terra)
- [Ornith-1.5-35B-A3B vs GPT-5.6 Terra](/compare/gpt-5-6-terra-vs-ornith-1-5-35b-a3b)
- [GPT-5.6 Sol vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-gpt-5-6-sol)
- [Ornith-1.5-35B-A3B vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-ornith-1-5-35b-a3b)

## Explore More

- [GPT-5.6 Sol profile](/models/gpt-5-6-sol)
- [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)