💻 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 OpenAI o3?
GPT-6.1 Sol and OpenAI o3 share identical input pricing at $2.00 per 1M tokens ($10.00 vs. $8.00 output). In terms of operational performance, GPT-6.1 Sol delivers lower response latency at 520ms TTFT (630ms faster than OpenAI o3) with 135 vs. 82 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 71.7% for OpenAI o3 and 92.4% vs. 87.7% 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
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$2.00
Identical Pricing
Output Cost / 1M Tokens
$10.00
$8.00
OpenAI o3 (20.0% lower)
Prompt Cache Read / 1M
$0.100
$0.500
GPT-6.1 Sol is 5.0x cheaper
Prompt Cache Write / 1M
$2.00
$2.00
Identical Cache Write Pricing
Context Window (Max Output)
1,075k (128k out)
205k (100k out)
GPT-6.1 Sol (5.3x larger context)
Avg TTFT Response Latency
520ms
1150ms
GPT-6.1 Sol (630ms faster)
Generation Speed (Throughput)
135 tok/s
82 tok/s
GPT-6.1 Sol (+53 tok/s faster)
SWE-bench Verified (Coding)
86.4%
71.7%
GPT-6.1 Sol (+14.7% lead)
GPQA Diamond (PhD STEM)
92.4%
87.7%
GPT-6.1 Sol (+4.7% lead)
MMLU-Pro (Multi-Discipline)
91%
89.8%
GPT-6.1 Sol (+1.2% lead)
MATH-500 (Quantitative Logic)
98.8%
98.6%
GPT-6.1 Sol (+0.2% lead)
Inference Value Score (IVR)
62.9 / 100
60.6 / 100
GPT-6.1 Sol (+2.3 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).
Both GPT-6.1 Sol and OpenAI o3 share identical input pricing at $2.00/1M tokens.
Which model has lower TTFT latency and higher tok/s throughput: GPT-6.1 Sol or OpenAI o3?
GPT-6.1 Sol delivers faster first-token latency at 520ms TTFT (135 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do GPT-6.1 Sol and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6.1 Sol scores 86.4% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, GPT-6.1 Sol scores 92.4% versus 87.7% for OpenAI o3 (and 98.8% vs 98.6% 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 OpenAI o3?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
