💻 Coding (SWE) WinnerGPT-6.1 Sol 86.4% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning WinnerGPT-6.1 Sol 92.4% GPQA · 98.8% MATH-500
Which model is better: GPT-6.1 Sol or o1?
GPT-6.1 Sol is 86.7% cheaper for input tokens ($2.00 vs. $15.00 per 1M tokens) and $10.00 vs. $60.00 for output tokens (7.5x cost advantage). In terms of operational performance, GPT-6.1 Sol delivers lower response latency at 520ms TTFT (2080ms faster than o1) with 135 vs. 48 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 48.9% for o1 and 92.4% vs. 78.0% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
GPT-6.1 Sol
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$15.00
GPT-6.1 Sol is 7.5x cheaper
Output Cost / 1M Tokens
$10.00
$60.00
GPT-6.1 Sol (83.3% lower)
Prompt Cache Read / 1M
$0.100
$7.500
GPT-6.1 Sol is 75.0x cheaper
Prompt Cache Write / 1M
$2.00
$15.00
GPT-6.1 Sol is 7.5x cheaper
Context Window (Max Output)
1,075k (128k out)
205k (100k out)
GPT-6.1 Sol (5.3x larger context)
Avg TTFT Response Latency
520ms
2600ms
GPT-6.1 Sol (2080ms faster)
Generation Speed (Throughput)
135 tok/s
48 tok/s
GPT-6.1 Sol (+87 tok/s faster)
SWE-bench Verified (Coding)
86.4%
48.9%
GPT-6.1 Sol (+37.5% lead)
GPQA Diamond (PhD STEM)
92.4%
78%
GPT-6.1 Sol (+14.4% lead)
MMLU-Pro (Multi-Discipline)
91%
83.3%
GPT-6.1 Sol (+7.7% lead)
MATH-500 (Quantitative Logic)
98.8%
96.4%
GPT-6.1 Sol (+2.4% lead)
Inference Value Score (IVR)
62.9 / 100
37.2 / 100
GPT-6.1 Sol (+25.7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose GPT-6.1 Sol (OpenAI) for delivers near-GPT-6 Astra frontier accuracy at one-fifth the token cost with a 95% cache read discount for high-efficiency agentic coding, computer use, and enterprise workflow automation — offering a 1,075k context window, 520ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
GPT-6.1 Sol is cheaper at $2.00/1M input tokens ($10.00/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: GPT-6.1 Sol or o1?
GPT-6.1 Sol delivers faster first-token latency at 520ms TTFT (135 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do GPT-6.1 Sol and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6.1 Sol scores 86.4% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, GPT-6.1 Sol scores 92.4% versus 78% for o1 (and 98.8% vs 96.4% on MATH-500).
When should you choose GPT-6.1 Sol?
Choose GPT-6.1 Sol (OpenAI) for delivers near-GPT-6 Astra frontier accuracy at one-fifth the token cost with a 95% cache read discount for high-efficiency agentic coding, computer use, and enterprise workflow automation — offering a 1,075k context window, 520ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
When should you choose o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
