GPT-6.1 Sol vs Perplexity Decider v1.2
A direct, empirical evaluation of GPT-6.1 Sol (OpenAI) against Perplexity Decider v1.2 (Perplexity AI).
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.
Perplexity Decider v1.2
Developed by Perplexity AI · 27 Billion Parameters parameters
Sub-50ms intent classification, multimodal screenshot routing, calibrated confidence bounds, and automated API dispatcher pipelines.
| Metric | GPT-6.1 Sol | Perplexity Decider v1.2 |
|---|---|---|
| SWE-bench Verified | 74.8% | 64.2% |
| MMLU-Pro | 92.4% | 88.4% |
| MATH-500 | 96.2% | 89.1% |
| Context Window | 1,000,000 tokens | 64,000 tokens |
| Input Pricing (per 1M) | $1.25 | $0.20 |
| Output Pricing (per 1M) | $5.00 | $0.60 |
Architectural & Practical Deployment Analysis
Evaluating GPT-6.1 Sol (OpenAI) alongside Perplexity Decider v1.2 (Perplexity AI) 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 Perplexity Decider v1.2 operates on 27 Billion Parameters parameters with 27.2B Dedicated Multimodal Decision Engine active per token.
On SWE-bench Verified software engineering tasks, GPT-6.1 Sol achieves 74.8% autonomous resolution rate, compared to 64.2% for Perplexity Decider v1.2. On complex reasoning benchmarks, GPT-6.1 Sol posts 92.4% on MMLU-Pro and 96.2% on MATH-500, against 88.4% and 89.1% respectively for Perplexity Decider v1.2.
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 $3.20 on Perplexity Decider v1.2.
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 Perplexity Decider v1.2 when workload requirements favor sub-50ms intent classification, multimodal screenshot routing, calibrated confidence bounds, and automated api dispatcher pipelines..