GPT-6.1 Sol vs NVIDIA Nemotron Labs Dory 1.0
A direct, empirical evaluation of GPT-6.1 Sol (OpenAI) against NVIDIA Nemotron Labs Dory 1.0 (NVIDIA).
GPT-6.1 Sol
Developed by OpenAI · Proprietary Frontier Workhorse Engine parameters
Near-Astra reasoning at 1/5th price ($1.25/$5.00), SWE-bench Verified 74.8%, OSWorld 2.0 desktop agent automation, and sub-80ms Ultrafast Mode.
NVIDIA Nemotron Labs Dory 1.0
Developed by NVIDIA · 4 Billion Parameters (Looped Transformer) parameters
Ultra-low VRAM memory residency (4.4 GB FP8), 256k long-context needle retrieval, and recurrent layer depth execution.
| Metric | GPT-6.1 Sol | NVIDIA Nemotron Labs Dory 1.0 |
|---|---|---|
| SWE-bench Verified | 74.8% | 66.4% |
| MMLU-Pro | 92.4% | 82.8% |
| MATH-500 | 96.2% | 85.6% |
| Context Window | 1,000,000 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $1.25 | $0.15 |
| Output Pricing (per 1M) | $5.00 | $0.45 |
Architectural & Practical Deployment Analysis
Evaluating GPT-6.1 Sol (OpenAI) alongside NVIDIA Nemotron Labs Dory 1.0 (NVIDIA) highlights key technical trade-offs across neural parameter scale and compute efficiency. GPT-6.1 Sol executes across Proprietary Frontier Workhorse Engine total parameters with Dynamic Speculative MoE Core on NVIDIA GB200 active per token, whereas NVIDIA Nemotron Labs Dory 1.0 operates on 4 Billion Parameters (Looped Transformer) parameters with 4.1B Active Recurrent Block (Equivalent to 16B Depth) active per token.
On SWE-bench Verified software engineering tasks, GPT-6.1 Sol achieves 74.8% autonomous resolution rate, compared to 66.4% for NVIDIA Nemotron Labs Dory 1.0. On complex reasoning benchmarks, GPT-6.1 Sol posts 92.4% on MMLU-Pro and 96.2% on MATH-500, against 82.8% and 85.6% respectively for NVIDIA Nemotron Labs Dory 1.0.
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $23.75 on GPT-6.1 Sol versus $2.40 on NVIDIA Nemotron Labs Dory 1.0.
Recommendation: Deploy GPT-6.1 Sol when your infrastructure prioritizes near-astra reasoning at 1/5th price ($1.25/$5.00), swe-bench verified 74.8%, osworld 2.0 desktop agent automation, and sub-80ms ultrafast mode.. Deploy NVIDIA Nemotron Labs Dory 1.0 when workload requirements favor ultra-low vram memory residency (4.4 gb fp8), 256k long-context needle retrieval, and recurrent layer depth execution..